Overview

Dataset statistics

Number of variables56
Number of observations50
Missing cells1402
Missing cells (%)50.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.8 KiB
Average record size in memory487.6 B

Variable types

Categorical16
Text7
DateTime4
Numeric6
Unsupported23

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-16820/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지우편번호 is highly imbalanced (71.5%)Imbalance
문화체육업종명 is highly imbalanced (53.1%)Imbalance
문화사업자구분명 is highly imbalanced (53.1%)Imbalance
조명시설조도 is highly imbalanced (85.9%)Imbalance
인허가취소일자 has 38 (76.0%) missing valuesMissing
폐업일자 has 16 (32.0%) missing valuesMissing
휴업시작일자 has 50 (100.0%) missing valuesMissing
휴업종료일자 has 50 (100.0%) missing valuesMissing
재개업일자 has 50 (100.0%) missing valuesMissing
전화번호 has 46 (92.0%) missing valuesMissing
소재지면적 has 50 (100.0%) missing valuesMissing
도로명주소 has 8 (16.0%) missing valuesMissing
도로명우편번호 has 28 (56.0%) missing valuesMissing
업태구분명 has 50 (100.0%) missing valuesMissing
좌표정보(X) has 1 (2.0%) missing valuesMissing
좌표정보(Y) has 1 (2.0%) missing valuesMissing
제작취급품목내용 has 31 (62.0%) missing valuesMissing
시설면적 has 7 (14.0%) missing valuesMissing
통로너비 has 50 (100.0%) missing valuesMissing
노래방실수 has 50 (100.0%) missing valuesMissing
청소년실수 has 50 (100.0%) missing valuesMissing
비상계단여부 has 50 (100.0%) missing valuesMissing
비상구여부 has 50 (100.0%) missing valuesMissing
자동환기여부 has 50 (100.0%) missing valuesMissing
청소년실여부 has 50 (100.0%) missing valuesMissing
특수조명여부 has 50 (100.0%) missing valuesMissing
방음시설여부 has 50 (100.0%) missing valuesMissing
비디오재생기명 has 50 (100.0%) missing valuesMissing
조명시설유무 has 50 (100.0%) missing valuesMissing
음향시설여부 has 50 (100.0%) missing valuesMissing
편의시설여부 has 50 (100.0%) missing valuesMissing
소방시설여부 has 50 (100.0%) missing valuesMissing
총게임기수 has 36 (72.0%) missing valuesMissing
기존게임업외업종명 has 50 (100.0%) missing valuesMissing
공연장형태구분명 has 50 (100.0%) missing valuesMissing
품목명 has 50 (100.0%) missing valuesMissing
최초등록시점 has 50 (100.0%) missing valuesMissing
지역구분명 has 40 (80.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
통로너비 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 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
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 06:27:19.204519
Analysis finished2024-05-11 06:27:20.208607
Duration1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
3030000
50 

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 50
100.0%

Length

2024-05-11T15:27:20.335360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:27:20.510113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 50
100.0%

관리번호
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-05-11T15:27:20.771114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1000
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

Unique50 ?
Unique (%)100.0%

Sample

1st rowCDFF2241142001000001
2nd rowCDFF2241142007000001
3rd rowCDFF2241142007000002
4th rowCDFF2241142007000003
5th rowCDFF2241142007000004
ValueCountFrequency (%)
cdff2241142001000001 1
 
2.0%
cdff2241142016000001 1
 
2.0%
cdff2241142020000002 1
 
2.0%
cdff2241142010000002 1
 
2.0%
cdff2241142010000003 1
 
2.0%
cdff2241142012000001 1
 
2.0%
cdff2241142014000001 1
 
2.0%
cdff2241142015000001 1
 
2.0%
cdff2241142015000002 1
 
2.0%
cdff2241142015000003 1
 
2.0%
Other values (40) 40
80.0%
2024-05-11T15:27:21.299696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 332
33.2%
2 162
16.2%
1 135
13.5%
4 107
 
10.7%
F 100
 
10.0%
C 50
 
5.0%
D 50
 
5.0%
7 14
 
1.4%
8 12
 
1.2%
9 12
 
1.2%
Other values (3) 26
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 800
80.0%
Uppercase Letter 200
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 332
41.5%
2 162
20.2%
1 135
16.9%
4 107
 
13.4%
7 14
 
1.8%
8 12
 
1.5%
9 12
 
1.5%
5 10
 
1.2%
3 8
 
1.0%
6 8
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
F 100
50.0%
C 50
25.0%
D 50
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 800
80.0%
Latin 200
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 332
41.5%
2 162
20.2%
1 135
16.9%
4 107
 
13.4%
7 14
 
1.8%
8 12
 
1.5%
9 12
 
1.5%
5 10
 
1.2%
3 8
 
1.0%
6 8
 
1.0%
Latin
ValueCountFrequency (%)
F 100
50.0%
C 50
25.0%
D 50
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 332
33.2%
2 162
16.2%
1 135
13.5%
4 107
 
10.7%
F 100
 
10.0%
C 50
 
5.0%
D 50
 
5.0%
7 14
 
1.4%
8 12
 
1.2%
9 12
 
1.2%
Other values (3) 26
 
2.6%

인허가일자
Date

Distinct47
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum2001-12-24 00:00:00
Maximum2020-12-24 00:00:00
2024-05-11T15:27:21.539514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:27:21.759221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing38
Missing (%)76.0%
Infinite0
Infinite (%)0.0%
Mean20102250
Minimum20080625
Maximum20140902
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-05-11T15:27:21.981413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080625
5-th percentile20086346
Q120100190
median20100466
Q320100920
95-th percentile20124029
Maximum20140902
Range60277
Interquartile range (IQR)730

Descriptive statistics

Standard deviation14063.525
Coefficient of variation (CV)0.00069959951
Kurtosis5.9185805
Mean20102250
Median Absolute Deviation (MAD)405
Skewness1.8306937
Sum2.4122701 × 108
Variance1.9778273 × 108
MonotonicityNot monotonic
2024-05-11T15:27:22.224099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
20100311 1
 
2.0%
20100930 1
 
2.0%
20100813 1
 
2.0%
20080625 1
 
2.0%
20091027 1
 
2.0%
20100324 1
 
2.0%
20100218 1
 
2.0%
20100107 1
 
2.0%
20100609 1
 
2.0%
20100917 1
 
2.0%
Other values (2) 2
 
4.0%
(Missing) 38
76.0%
ValueCountFrequency (%)
20080625 1
2.0%
20091027 1
2.0%
20100107 1
2.0%
20100218 1
2.0%
20100311 1
2.0%
20100324 1
2.0%
20100609 1
2.0%
20100813 1
2.0%
20100917 1
2.0%
20100930 1
2.0%
ValueCountFrequency (%)
20140902 1
2.0%
20110223 1
2.0%
20100930 1
2.0%
20100917 1
2.0%
20100813 1
2.0%
20100609 1
2.0%
20100324 1
2.0%
20100311 1
2.0%
20100218 1
2.0%
20100107 1
2.0%

영업상태코드
Categorical

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
3
27 
4
19 
1
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 27
54.0%
4 19
38.0%
1 4
 
8.0%

Length

2024-05-11T15:27:22.455557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:27:22.627355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 27
54.0%
4 19
38.0%
1 4
 
8.0%

영업상태명
Categorical

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
폐업
27 
취소/말소/만료/정지/중지
19 
영업/정상
4 

Length

Max length14
Median length2
Mean length6.8
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 27
54.0%
취소/말소/만료/정지/중지 19
38.0%
영업/정상 4
 
8.0%

Length

2024-05-11T15:27:22.800266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:27:22.969385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 27
54.0%
취소/말소/만료/정지/중지 19
38.0%
영업/정상 4
 
8.0%

상세영업상태코드
Categorical

Distinct4
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
3
27 
31
12 
35
7 
13
4 

Length

Max length2
Median length1
Mean length1.46
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row35
3rd row3
4th row3
5th row31

Common Values

ValueCountFrequency (%)
3 27
54.0%
31 12
24.0%
35 7
 
14.0%
13 4
 
8.0%

Length

2024-05-11T15:27:23.160104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:27:23.344345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 27
54.0%
31 12
24.0%
35 7
 
14.0%
13 4
 
8.0%

상세영업상태명
Categorical

Distinct4
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
폐업
27 
등록취소
12 
직권말소
7 
영업중
4 

Length

Max length4
Median length2
Mean length2.84
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 27
54.0%
등록취소 12
24.0%
직권말소 7
 
14.0%
영업중 4
 
8.0%

Length

2024-05-11T15:27:23.627094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:27:23.826550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 27
54.0%
등록취소 12
24.0%
직권말소 7
 
14.0%
영업중 4
 
8.0%

폐업일자
Date

MISSING 

Distinct30
Distinct (%)88.2%
Missing16
Missing (%)32.0%
Memory size532.0 B
Minimum2007-11-15 00:00:00
Maximum2023-12-29 00:00:00
2024-05-11T15:27:24.029593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:27:24.278463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

전화번호
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing46
Missing (%)92.0%
Memory size532.0 B
2024-05-11T15:27:24.542541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10.5
Mean length10.25
Min length8

Characters and Unicode

Total characters41
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

Unique4 ?
Unique (%)100.0%

Sample

1st row499-2850
2nd row02-2292-7175
3rd row2293-1735
4th row02-2212-3634
ValueCountFrequency (%)
499-2850 1
25.0%
02-2292-7175 1
25.0%
2293-1735 1
25.0%
02-2212-3634 1
25.0%
2024-05-11T15:27:24.990240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 11
26.8%
- 6
14.6%
9 4
 
9.8%
3 4
 
9.8%
5 3
 
7.3%
0 3
 
7.3%
7 3
 
7.3%
1 3
 
7.3%
4 2
 
4.9%
8 1
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 35
85.4%
Dash Punctuation 6
 
14.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 11
31.4%
9 4
 
11.4%
3 4
 
11.4%
5 3
 
8.6%
0 3
 
8.6%
7 3
 
8.6%
1 3
 
8.6%
4 2
 
5.7%
8 1
 
2.9%
6 1
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 41
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 11
26.8%
- 6
14.6%
9 4
 
9.8%
3 4
 
9.8%
5 3
 
7.3%
0 3
 
7.3%
7 3
 
7.3%
1 3
 
7.3%
4 2
 
4.9%
8 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 41
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 11
26.8%
- 6
14.6%
9 4
 
9.8%
3 4
 
9.8%
5 3
 
7.3%
0 3
 
7.3%
7 3
 
7.3%
1 3
 
7.3%
4 2
 
4.9%
8 1
 
2.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
45 
133809
 
2
133850
 
1
133800
 
1
133803
 
1

Length

Max length6
Median length4
Mean length4.2
Min length4

Unique

Unique3 ?
Unique (%)6.0%

Sample

1st row133809
2nd row<NA>
3rd row133809
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
90.0%
133809 2
 
4.0%
133850 1
 
2.0%
133800 1
 
2.0%
133803 1
 
2.0%

Length

2024-05-11T15:27:25.197198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:27:25.365120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
90.0%
133809 2
 
4.0%
133850 1
 
2.0%
133800 1
 
2.0%
133803 1
 
2.0%

지번주소
Text

Distinct46
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-05-11T15:27:25.639017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length24.92
Min length19

Characters and Unicode

Total characters1246
Distinct characters57
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)84.0%

Sample

1st row서울특별시 성동구 금호동4가 561-4번지
2nd row서울특별시 성동구 성수동2가 275-12번지
3rd row서울특별시 성동구 금호동4가 561-4번지
4th row서울특별시 성동구 성수동2가 565-7번지
5th row서울특별시 성동구 성수동1가 656-309번지
ValueCountFrequency (%)
서울특별시 50
22.3%
성동구 50
22.3%
성수동2가 20
 
8.9%
행당동 11
 
4.9%
용답동 9
 
4.0%
2층 5
 
2.2%
지하1층 4
 
1.8%
금호동4가 3
 
1.3%
3층 3
 
1.3%
1층 3
 
1.3%
Other values (59) 66
29.5%
2024-05-11T15:27:26.501841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
219
17.6%
동 100
 
8.0%
성 72
 
5.8%
2 55
 
4.4%
지 52
 
4.2%
서 50
 
4.0%
구 50
 
4.0%
1 50
 
4.0%
울 50
 
4.0%
특 50
 
4.0%
Other values (47) 498
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 718
57.6%
Decimal Number 261
 
20.9%
Space Separator 219
 
17.6%
Dash Punctuation 48
 
3.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 100
13.9%
성 72
10.0%
지 52
 
7.2%
서 50
 
7.0%
구 50
 
7.0%
울 50
 
7.0%
특 50
 
7.0%
시 50
 
7.0%
별 50
 
7.0%
번 44
 
6.1%
Other values (35) 150
20.9%
Decimal Number
ValueCountFrequency (%)
2 55
21.1%
1 50
19.2%
5 28
10.7%
3 27
10.3%
9 26
10.0%
6 22
 
8.4%
0 22
 
8.4%
4 14
 
5.4%
7 11
 
4.2%
8 6
 
2.3%
Space Separator
ValueCountFrequency (%)
219
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 718
57.6%
Common 528
42.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 100
13.9%
성 72
10.0%
지 52
 
7.2%
서 50
 
7.0%
구 50
 
7.0%
울 50
 
7.0%
특 50
 
7.0%
시 50
 
7.0%
별 50
 
7.0%
번 44
 
6.1%
Other values (35) 150
20.9%
Common
ValueCountFrequency (%)
219
41.5%
2 55
 
10.4%
1 50
 
9.5%
- 48
 
9.1%
5 28
 
5.3%
3 27
 
5.1%
9 26
 
4.9%
6 22
 
4.2%
0 22
 
4.2%
4 14
 
2.7%
Other values (2) 17
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 718
57.6%
ASCII 528
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
219
41.5%
2 55
 
10.4%
1 50
 
9.5%
- 48
 
9.1%
5 28
 
5.3%
3 27
 
5.1%
9 26
 
4.9%
6 22
 
4.2%
0 22
 
4.2%
4 14
 
2.7%
Other values (2) 17
 
3.2%
Hangul
ValueCountFrequency (%)
동 100
13.9%
성 72
10.0%
지 52
 
7.2%
서 50
 
7.0%
구 50
 
7.0%
울 50
 
7.0%
특 50
 
7.0%
시 50
 
7.0%
별 50
 
7.0%
번 44
 
6.1%
Other values (35) 150
20.9%

도로명주소
Text

MISSING 

Distinct41
Distinct (%)97.6%
Missing8
Missing (%)16.0%
Memory size532.0 B
2024-05-11T15:27:26.885643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length35
Mean length29.261905
Min length21

Characters and Unicode

Total characters1229
Distinct characters81
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)95.2%

Sample

1st row서울특별시 성동구 연무장길 114 (성수동2가)
2nd row서울특별시 성동구 성덕정길 105 (성수동2가)
3rd row서울특별시 성동구 왕십리로4길 23-1 (성수동1가)
4th row서울특별시 성동구 마조로 9 (행당동)
5th row서울특별시 성동구 마조로 17 (행당동)
ValueCountFrequency (%)
서울특별시 42
17.7%
성동구 42
17.7%
성수동2가 12
 
5.1%
1층 9
 
3.8%
마조로 8
 
3.4%
행당동 8
 
3.4%
아차산로 7
 
3.0%
용답동 5
 
2.1%
천호대로 4
 
1.7%
97 3
 
1.3%
Other values (81) 97
40.9%
2024-05-11T15:27:27.484814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
214
 
17.4%
동 89
 
7.2%
성 65
 
5.3%
1 54
 
4.4%
시 45
 
3.7%
서 42
 
3.4%
( 42
 
3.4%
울 42
 
3.4%
) 42
 
3.4%
구 42
 
3.4%
Other values (71) 552
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 723
58.8%
Space Separator 214
 
17.4%
Decimal Number 172
 
14.0%
Open Punctuation 42
 
3.4%
Close Punctuation 42
 
3.4%
Other Punctuation 32
 
2.6%
Dash Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 89
 
12.3%
성 65
 
9.0%
시 45
 
6.2%
서 42
 
5.8%
울 42
 
5.8%
구 42
 
5.8%
별 42
 
5.8%
특 42
 
5.8%
로 30
 
4.1%
층 25
 
3.5%
Other values (56) 259
35.8%
Decimal Number
ValueCountFrequency (%)
1 54
31.4%
2 40
23.3%
3 17
 
9.9%
4 15
 
8.7%
9 14
 
8.1%
7 10
 
5.8%
6 6
 
3.5%
5 6
 
3.5%
0 5
 
2.9%
8 5
 
2.9%
Space Separator
ValueCountFrequency (%)
214
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Other Punctuation
ValueCountFrequency (%)
, 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 723
58.8%
Common 506
41.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 89
 
12.3%
성 65
 
9.0%
시 45
 
6.2%
서 42
 
5.8%
울 42
 
5.8%
구 42
 
5.8%
별 42
 
5.8%
특 42
 
5.8%
로 30
 
4.1%
층 25
 
3.5%
Other values (56) 259
35.8%
Common
ValueCountFrequency (%)
214
42.3%
1 54
 
10.7%
( 42
 
8.3%
) 42
 
8.3%
2 40
 
7.9%
, 32
 
6.3%
3 17
 
3.4%
4 15
 
3.0%
9 14
 
2.8%
7 10
 
2.0%
Other values (5) 26
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 723
58.8%
ASCII 506
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
214
42.3%
1 54
 
10.7%
( 42
 
8.3%
) 42
 
8.3%
2 40
 
7.9%
, 32
 
6.3%
3 17
 
3.4%
4 15
 
3.0%
9 14
 
2.8%
7 10
 
2.0%
Other values (5) 26
 
5.1%
Hangul
ValueCountFrequency (%)
동 89
 
12.3%
성 65
 
9.0%
시 45
 
6.2%
서 42
 
5.8%
울 42
 
5.8%
구 42
 
5.8%
별 42
 
5.8%
특 42
 
5.8%
로 30
 
4.1%
층 25
 
3.5%
Other values (56) 259
35.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)59.1%
Missing28
Missing (%)56.0%
Infinite0
Infinite (%)0.0%
Mean16508.182
Minimum4700
Maximum133882
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-05-11T15:27:27.706645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4700
5-th percentile4715.5
Q14760
median4779
Q34803.25
95-th percentile127396.8
Maximum133882
Range129182
Interquartile range (IQR)43.25

Descriptive statistics

Standard deviation37984.989
Coefficient of variation (CV)2.3009795
Kurtosis8.0849877
Mean16508.182
Median Absolute Deviation (MAD)19
Skewness3.058673
Sum363180
Variance1.4428594 × 109
MonotonicityNot monotonic
2024-05-11T15:27:27.869222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
4760 5
 
10.0%
4776 3
 
6.0%
4794 2
 
4.0%
4805 2
 
4.0%
4804 2
 
4.0%
133882 1
 
2.0%
133849 1
 
2.0%
4801 1
 
2.0%
4782 1
 
2.0%
4725 1
 
2.0%
Other values (3) 3
 
6.0%
(Missing) 28
56.0%
ValueCountFrequency (%)
4700 1
 
2.0%
4715 1
 
2.0%
4725 1
 
2.0%
4760 5
10.0%
4776 3
6.0%
4782 1
 
2.0%
4792 1
 
2.0%
4794 2
 
4.0%
4801 1
 
2.0%
4804 2
 
4.0%
ValueCountFrequency (%)
133882 1
 
2.0%
133849 1
 
2.0%
4805 2
 
4.0%
4804 2
 
4.0%
4801 1
 
2.0%
4794 2
 
4.0%
4792 1
 
2.0%
4782 1
 
2.0%
4776 3
6.0%
4760 5
10.0%

사업장명
Text

Distinct47
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-05-11T15:27:28.218541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9.5
Mean length6.3
Min length2

Characters and Unicode

Total characters315
Distinct characters99
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)88.0%

Sample

1st row2002 게임프라자
2nd row몽키블록
3rd row2002 게임프라자
4th row와바 게임랜드
5th row스타월드 오락실
ValueCountFrequency (%)
게임장 5
 
7.4%
게임랜드 4
 
5.9%
게임프라자 3
 
4.4%
인형뽑기 2
 
2.9%
2002 2
 
2.9%
뽑꼬뽑꼬 2
 
2.9%
성수게임랜드 2
 
2.9%
뽑기나라 1
 
1.5%
드림랜드 1
 
1.5%
바다게임랜드 1
 
1.5%
Other values (45) 45
66.2%
2024-05-11T15:27:28.754436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
임 29
 
9.2%
게 28
 
8.9%
드 21
 
6.7%
18
 
5.7%
랜 17
 
5.4%
뽑 13
 
4.1%
장 9
 
2.9%
성 7
 
2.2%
스 7
 
2.2%
기 6
 
1.9%
Other values (89) 160
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 285
90.5%
Space Separator 18
 
5.7%
Decimal Number 8
 
2.5%
Uppercase Letter 2
 
0.6%
Dash Punctuation 1
 
0.3%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
임 29
 
10.2%
게 28
 
9.8%
드 21
 
7.4%
랜 17
 
6.0%
뽑 13
 
4.6%
장 9
 
3.2%
성 7
 
2.5%
스 7
 
2.5%
기 6
 
2.1%
방 6
 
2.1%
Other values (83) 142
49.8%
Decimal Number
ValueCountFrequency (%)
0 4
50.0%
2 4
50.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Uppercase Letter
ValueCountFrequency (%)
X 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
? 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 285
90.5%
Common 28
 
8.9%
Latin 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
임 29
 
10.2%
게 28
 
9.8%
드 21
 
7.4%
랜 17
 
6.0%
뽑 13
 
4.6%
장 9
 
3.2%
성 7
 
2.5%
스 7
 
2.5%
기 6
 
2.1%
방 6
 
2.1%
Other values (83) 142
49.8%
Common
ValueCountFrequency (%)
18
64.3%
0 4
 
14.3%
2 4
 
14.3%
- 1
 
3.6%
? 1
 
3.6%
Latin
ValueCountFrequency (%)
X 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 285
90.5%
ASCII 30
 
9.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
임 29
 
10.2%
게 28
 
9.8%
드 21
 
7.4%
랜 17
 
6.0%
뽑 13
 
4.6%
장 9
 
3.2%
성 7
 
2.5%
스 7
 
2.5%
기 6
 
2.1%
방 6
 
2.1%
Other values (83) 142
49.8%
ASCII
ValueCountFrequency (%)
18
60.0%
0 4
 
13.3%
2 4
 
13.3%
X 2
 
6.7%
- 1
 
3.3%
? 1
 
3.3%

최종수정일자
Date

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum2007-11-15 14:53:45
Maximum2023-12-29 17:27:35
2024-05-11T15:27:28.957350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:27:29.213194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
I
37 
U
13 

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 37
74.0%
U 13
 
26.0%

Length

2024-05-11T15:27:29.416975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:27:29.588690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 37
74.0%
u 13
 
26.0%

데이터갱신일자
Date

Distinct15
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-07 22:00:00
2024-05-11T15:27:29.726823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:27:29.924704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)85.7%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean204264.4
Minimum201759.98
Maximum205733.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-05-11T15:27:30.113853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201759.98
5-th percentile201962.54
Q1203512.95
median204728.98
Q3204897.55
95-th percentile205631.26
Maximum205733.95
Range3973.9769
Interquartile range (IQR)1384.6044

Descriptive statistics

Standard deviation1090.8226
Coefficient of variation (CV)0.0053402483
Kurtosis-0.10407018
Mean204264.4
Median Absolute Deviation (MAD)642.10251
Skewness-0.84993294
Sum10008956
Variance1189894
MonotonicityNot monotonic
2024-05-11T15:27:30.317144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
201869.575021725 2
 
4.0%
203512.949927348 2
 
4.0%
205451.745427672 2
 
4.0%
204934.166661444 2
 
4.0%
204798.090030546 2
 
4.0%
203462.981640566 2
 
4.0%
203514.842717891 2
 
4.0%
204757.856227435 1
 
2.0%
202113.869605464 1
 
2.0%
202900.174381742 1
 
2.0%
Other values (32) 32
64.0%
ValueCountFrequency (%)
201759.976594275 1
2.0%
201869.575021725 2
4.0%
202101.976484416 1
2.0%
202113.869605464 1
2.0%
202881.223307501 1
2.0%
202900.174381742 1
2.0%
203462.981640566 2
4.0%
203481.470855727 1
2.0%
203504.821555274 1
2.0%
203506.404654188 1
2.0%
ValueCountFrequency (%)
205733.953454083 1
2.0%
205722.425433401 1
2.0%
205707.087855665 1
2.0%
205517.525132294 1
2.0%
205451.745427672 2
4.0%
205371.082382793 1
2.0%
205347.840006156 1
2.0%
205297.673132144 1
2.0%
205271.427684297 1
2.0%
204934.166661444 2
4.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)85.7%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean449962.46
Minimum448281.2
Maximum451897.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-05-11T15:27:30.544539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448281.2
5-th percentile448360.38
Q1449083.06
median449576.2
Q3450836.18
95-th percentile451585.4
Maximum451897.58
Range3616.3775
Interquartile range (IQR)1753.1227

Descriptive statistics

Standard deviation1093.1098
Coefficient of variation (CV)0.0024293357
Kurtosis-1.4154853
Mean449962.46
Median Absolute Deviation (MAD)1140.5127
Skewness0.044868465
Sum22048160
Variance1194889.1
MonotonicityNot monotonic
2024-05-11T15:27:30.749912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
449518.515855694 2
 
4.0%
450799.537553394 2
 
4.0%
448646.593929239 2
 
4.0%
449083.056771443 2
 
4.0%
449216.564599862 2
 
4.0%
450714.303369416 2
 
4.0%
450716.717125628 2
 
4.0%
448372.195932015 1
 
2.0%
451897.581865192 1
 
2.0%
451184.194186821 1
 
2.0%
Other values (32) 32
64.0%
ValueCountFrequency (%)
448281.204367511 1
2.0%
448310.561851329 1
2.0%
448355.122746319 1
2.0%
448368.27301521 1
2.0%
448372.195932015 1
2.0%
448646.593929239 2
4.0%
448688.200477047 1
2.0%
448798.794000119 1
2.0%
448864.538066138 1
2.0%
449028.197583292 1
2.0%
ValueCountFrequency (%)
451897.581865192 1
2.0%
451736.186856337 1
2.0%
451607.18811355 1
2.0%
451552.724286811 1
2.0%
451280.813111834 1
2.0%
451230.04179528 1
2.0%
451184.194186821 1
2.0%
451180.897485555 1
2.0%
451109.620520031 1
2.0%
451004.910060357 1
2.0%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
청소년게임제공업
45 
<NA>
5 

Length

Max length8
Median length8
Mean length7.6
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청소년게임제공업 45
90.0%
<NA> 5
 
10.0%

Length

2024-05-11T15:27:30.949104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:27:31.089901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청소년게임제공업 45
90.0%
na 5
 
10.0%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
유통관련업
45 
<NA>
5 

Length

Max length5
Median length5
Mean length4.9
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 45
90.0%
<NA> 5
 
10.0%

Length

2024-05-11T15:27:31.254208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:27:31.444057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 45
90.0%
na 5
 
10.0%

총층수
Categorical

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
36 
4
7 
5
 
3
6
 
2
2
 
1

Length

Max length4
Median length4
Mean length3.16
Min length1

Unique

Unique2 ?
Unique (%)4.0%

Sample

1st row<NA>
2nd row2
3rd row<NA>
4th row4
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 36
72.0%
4 7
 
14.0%
5 3
 
6.0%
6 2
 
4.0%
2 1
 
2.0%
3 1
 
2.0%

Length

2024-05-11T15:27:31.702611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:27:31.909605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
72.0%
4 7
 
14.0%
5 3
 
6.0%
6 2
 
4.0%
2 1
 
2.0%
3 1
 
2.0%

주변환경명
Categorical

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
39 
기타
7 
학교정화(상대)
4 

Length

Max length8
Median length4
Mean length4.04
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row학교정화(상대)
2nd row기타
3rd row<NA>
4th row기타
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 39
78.0%
기타 7
 
14.0%
학교정화(상대) 4
 
8.0%

Length

2024-05-11T15:27:32.127163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:27:32.270361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
78.0%
기타 7
 
14.0%
학교정화(상대 4
 
8.0%

제작취급품목내용
Text

MISSING 

Distinct18
Distinct (%)94.7%
Missing31
Missing (%)62.0%
Memory size532.0 B
2024-05-11T15:27:32.547987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length13
Mean length11.526316
Min length2

Characters and Unicode

Total characters219
Distinct characters97
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

Unique17 ?
Unique (%)89.5%

Sample

1st row파랑돔
2nd rowsea 팡야 40대
3rd row포경선(50대)
4th rowluck sea(40대)
5th row오션판타지(40대)
ValueCountFrequency (%)
luck 2
 
4.3%
토이즈팝 2
 
4.3%
마트크레인 2
 
4.3%
4대 2
 
4.3%
sea(40대 2
 
4.3%
코코짱 1
 
2.2%
비기닝 1
 
2.2%
더 1
 
2.2%
미솔리지 1
 
2.2%
곰탱이(아케이드게임 1
 
2.2%
Other values (31) 31
67.4%
2024-05-11T15:27:33.115177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28
 
12.8%
대 13
 
5.9%
, 7
 
3.2%
) 7
 
3.2%
( 7
 
3.2%
인 6
 
2.7%
4 6
 
2.7%
0 5
 
2.3%
레 4
 
1.8%
스 4
 
1.8%
Other values (87) 132
60.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 132
60.3%
Space Separator 28
 
12.8%
Decimal Number 21
 
9.6%
Lowercase Letter 17
 
7.8%
Other Punctuation 7
 
3.2%
Close Punctuation 7
 
3.2%
Open Punctuation 7
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 13
 
9.8%
인 6
 
4.5%
레 4
 
3.0%
스 4
 
3.0%
이 4
 
3.0%
기 3
 
2.3%
마 3
 
2.3%
크 3
 
2.3%
지 3
 
2.3%
트 3
 
2.3%
Other values (68) 86
65.2%
Decimal Number
ValueCountFrequency (%)
4 6
28.6%
0 5
23.8%
1 3
14.3%
9 2
 
9.5%
2 2
 
9.5%
7 1
 
4.8%
3 1
 
4.8%
5 1
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
a 3
17.6%
e 3
17.6%
s 3
17.6%
u 2
11.8%
l 2
11.8%
c 2
11.8%
k 2
11.8%
Space Separator
ValueCountFrequency (%)
28
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 132
60.3%
Common 70
32.0%
Latin 17
 
7.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 13
 
9.8%
인 6
 
4.5%
레 4
 
3.0%
스 4
 
3.0%
이 4
 
3.0%
기 3
 
2.3%
마 3
 
2.3%
크 3
 
2.3%
지 3
 
2.3%
트 3
 
2.3%
Other values (68) 86
65.2%
Common
ValueCountFrequency (%)
28
40.0%
, 7
 
10.0%
) 7
 
10.0%
( 7
 
10.0%
4 6
 
8.6%
0 5
 
7.1%
1 3
 
4.3%
9 2
 
2.9%
2 2
 
2.9%
7 1
 
1.4%
Other values (2) 2
 
2.9%
Latin
ValueCountFrequency (%)
a 3
17.6%
e 3
17.6%
s 3
17.6%
u 2
11.8%
l 2
11.8%
c 2
11.8%
k 2
11.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 132
60.3%
ASCII 87
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28
32.2%
, 7
 
8.0%
) 7
 
8.0%
( 7
 
8.0%
4 6
 
6.9%
0 5
 
5.7%
a 3
 
3.4%
e 3
 
3.4%
1 3
 
3.4%
s 3
 
3.4%
Other values (9) 15
17.2%
Hangul
ValueCountFrequency (%)
대 13
 
9.8%
인 6
 
4.5%
레 4
 
3.0%
스 4
 
3.0%
이 4
 
3.0%
기 3
 
2.3%
마 3
 
2.3%
크 3
 
2.3%
지 3
 
2.3%
트 3
 
2.3%
Other values (68) 86
65.2%

시설면적
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)95.3%
Missing7
Missing (%)14.0%
Infinite0
Infinite (%)0.0%
Mean107.51581
Minimum20
Maximum225.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-05-11T15:27:33.371153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile26.76
Q182.29
median114
Q3134.18
95-th percentile189.985
Maximum225.09
Range205.09
Interquartile range (IQR)51.89

Descriptive statistics

Standard deviation48.112796
Coefficient of variation (CV)0.44749507
Kurtosis0.20621518
Mean107.51581
Median Absolute Deviation (MAD)24.64
Skewness0.14227161
Sum4623.18
Variance2314.8412
MonotonicityNot monotonic
2024-05-11T15:27:33.616486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
100.0 2
 
4.0%
114.0 2
 
4.0%
130.36 1
 
2.0%
124.74 1
 
2.0%
115.7 1
 
2.0%
76.18 1
 
2.0%
112.5 1
 
2.0%
114.41 1
 
2.0%
149.85 1
 
2.0%
31.0 1
 
2.0%
Other values (31) 31
62.0%
(Missing) 7
 
14.0%
ValueCountFrequency (%)
20.0 1
2.0%
24.0 1
2.0%
26.4 1
2.0%
30.0 1
2.0%
31.0 1
2.0%
33.0 1
2.0%
59.0 1
2.0%
59.46 1
2.0%
63.7 1
2.0%
76.18 1
2.0%
ValueCountFrequency (%)
225.09 1
2.0%
208.94 1
2.0%
190.0 1
2.0%
189.85 1
2.0%
150.0 1
2.0%
149.85 1
2.0%
140.0 1
2.0%
139.0 1
2.0%
138.52 1
2.0%
138.5 1
2.0%

지상층수
Categorical

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
34 
3
8 
4
 
3
1
 
2
5
 
2

Length

Max length4
Median length4
Mean length3.04
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row<NA>
2nd row1
3rd row<NA>
4th row3
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 34
68.0%
3 8
 
16.0%
4 3
 
6.0%
1 2
 
4.0%
5 2
 
4.0%
2 1
 
2.0%

Length

2024-05-11T15:27:33.905773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:27:34.229990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
68.0%
3 8
 
16.0%
4 3
 
6.0%
1 2
 
4.0%
5 2
 
4.0%
2 1
 
2.0%

지하층수
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
37 
1
13 

Length

Max length4
Median length4
Mean length3.22
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row1
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 37
74.0%
1 13
 
26.0%

Length

2024-05-11T15:27:34.519972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:27:34.706296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
74.0%
1 13
 
26.0%

건물용도명
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
34 
근린생활시설
16 

Length

Max length6
Median length4
Mean length4.64
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 34
68.0%
근린생활시설 16
32.0%

Length

2024-05-11T15:27:35.037453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:27:35.296448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
68.0%
근린생활시설 16
32.0%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
49 
40
 
1

Length

Max length4
Median length4
Mean length3.96
Min length2

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 49
98.0%
40 1
 
2.0%

Length

2024-05-11T15:27:35.508269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:27:35.721982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
98.0%
40 1
 
2.0%

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

총게임기수
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)50.0%
Missing36
Missing (%)72.0%
Infinite0
Infinite (%)0.0%
Mean24.714286
Minimum8
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-05-11T15:27:35.905931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile8.65
Q110
median20.5
Q340
95-th percentile42.8
Maximum48
Range40
Interquartile range (IQR)30

Descriptive statistics

Standard deviation15.745224
Coefficient of variation (CV)0.63709
Kurtosis-2.0354964
Mean24.714286
Median Absolute Deviation (MAD)12
Skewness0.18330167
Sum346
Variance247.91209
MonotonicityNot monotonic
2024-05-11T15:27:36.193606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
40 5
 
10.0%
10 4
 
8.0%
48 1
 
2.0%
27 1
 
2.0%
14 1
 
2.0%
8 1
 
2.0%
9 1
 
2.0%
(Missing) 36
72.0%
ValueCountFrequency (%)
8 1
 
2.0%
9 1
 
2.0%
10 4
8.0%
14 1
 
2.0%
27 1
 
2.0%
40 5
10.0%
48 1
 
2.0%
ValueCountFrequency (%)
48 1
 
2.0%
40 5
10.0%
27 1
 
2.0%
14 1
 
2.0%
10 4
8.0%
9 1
 
2.0%
8 1
 
2.0%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

제공게임물명
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
전체이용가
43 
<NA>
7 

Length

Max length5
Median length5
Mean length4.86
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전체이용가 43
86.0%
<NA> 7
 
14.0%

Length

2024-05-11T15:27:36.463994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:27:36.687194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체이용가 43
86.0%
na 7
 
14.0%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

지역구분명
Text

MISSING 

Distinct6
Distinct (%)60.0%
Missing40
Missing (%)80.0%
Memory size532.0 B
2024-05-11T15:27:36.935598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.5
Min length4

Characters and Unicode

Total characters55
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)40.0%

Sample

1st row준주거지역
2nd row일반공업지역
3rd row준공업지역
4th row일반주거지역
5th row일반주거지역
ValueCountFrequency (%)
일반주거지역 4
40.0%
준공업지역 2
20.0%
준주거지역 1
 
10.0%
일반공업지역 1
 
10.0%
주거지역 1
 
10.0%
일반상업지역 1
 
10.0%
2024-05-11T15:27:37.519531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 10
18.2%
역 10
18.2%
일 6
10.9%
반 6
10.9%
주 6
10.9%
거 6
10.9%
업 4
 
7.3%
준 3
 
5.5%
공 3
 
5.5%
상 1
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 10
18.2%
역 10
18.2%
일 6
10.9%
반 6
10.9%
주 6
10.9%
거 6
10.9%
업 4
 
7.3%
준 3
 
5.5%
공 3
 
5.5%
상 1
 
1.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 10
18.2%
역 10
18.2%
일 6
10.9%
반 6
10.9%
주 6
10.9%
거 6
10.9%
업 4
 
7.3%
준 3
 
5.5%
공 3
 
5.5%
상 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 10
18.2%
역 10
18.2%
일 6
10.9%
반 6
10.9%
주 6
10.9%
거 6
10.9%
업 4
 
7.3%
준 3
 
5.5%
공 3
 
5.5%
상 1
 
1.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03030000CDFF224114200100000120011224<NA>3폐업3폐업20071115<NA><NA><NA><NA><NA>133809서울특별시 성동구 금호동4가 561-4번지<NA><NA>2002 게임프라자2007-11-15 14:53:45I2018-08-31 23:59:59.0<NA>201869.575022449518.515856청소년게임제공업유통관련업<NA>학교정화(상대)<NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>준주거지역
13030000CDFF224114200700000120071009<NA>4취소/말소/만료/정지/중지35직권말소20100920<NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동2가 275-12번지서울특별시 성동구 연무장길 114 (성수동2가)<NA>몽키블록2010-11-25 15:34:02I2018-08-31 23:59:59.0<NA>205371.082383448688.200477청소년게임제공업유통관련업2기타<NA>138.51<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>일반공업지역
23030000CDFF224114200700000220071115<NA>3폐업3폐업20080901<NA><NA><NA><NA><NA>133809서울특별시 성동구 금호동4가 561-4번지<NA><NA>2002 게임프라자2009-01-13 17:24:55I2018-08-31 23:59:59.0<NA>201869.575022449518.515856청소년게임제공업유통관련업<NA><NA><NA>82.5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
33030000CDFF224114200700000320071115<NA>3폐업3폐업20121012<NA><NA><NA>499-2850<NA><NA>서울특별시 성동구 성수동2가 565-7번지서울특별시 성동구 성덕정길 105 (성수동2가)<NA>와바 게임랜드2012-10-12 16:55:25I2018-08-31 23:59:59.0<NA>204800.926763448355.122746청소년게임제공업유통관련업4기타<NA>59.031근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>준공업지역
43030000CDFF224114200700000420071115201003114취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동1가 656-309번지서울특별시 성동구 왕십리로4길 23-1 (성수동1가)<NA>스타월드 오락실2010-03-12 09:31:53I2018-08-31 23:59:59.0<NA>204025.874725449412.279894청소년게임제공업유통관련업<NA><NA><NA>139.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53030000CDFF224114200700000520071121<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2292-7175<NA><NA>서울특별시 성동구 행당동 19-100번지서울특별시 성동구 마조로 9 (행당동)4760한양 게임장2017-05-22 10:52:51I2018-08-31 23:59:59.0<NA>203514.842718450716.717126청소년게임제공업유통관련업<NA>기타<NA>93.0<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>48<NA>전체이용가<NA><NA><NA>일반주거지역
63030000CDFF224114200700000620071220<NA>4취소/말소/만료/정지/중지35직권말소20100920<NA><NA><NA><NA><NA><NA>서울특별시 성동구 행당동 19-54번지서울특별시 성동구 마조로 17 (행당동)<NA>웰컴 게임프라자2010-12-28 09:56:35I2018-08-31 23:59:59.0<NA>203512.949927450799.537553청소년게임제공업유통관련업5<NA><NA>190.041근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>일반주거지역
73030000CDFF224114200800000120080325<NA>3폐업3폐업20091120<NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동2가 300-65번지 지하1층서울특별시 성동구 아차산로 91 (성수동2가,지하1층)<NA>성수게임랜드2009-11-20 16:22:16I2018-08-31 23:59:59.0<NA>204744.80876449227.21954청소년게임제공업유통관련업<NA><NA><NA>125.44<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
83030000CDFF224114200800000220080404<NA>4취소/말소/만료/정지/중지35직권말소20100920<NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동2가 300-5번지 1층서울특별시 성동구 아차산로 97 (성수동2가,1층)<NA>골드스피어2010-11-25 15:50:53I2018-08-31 23:59:59.0<NA>204798.090031449216.5646청소년게임제공업유통관련업<NA><NA><NA>138.52<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
93030000CDFF224114200800000320080429<NA>3폐업3폐업20081014<NA><NA><NA><NA><NA>133850서울특별시 성동구 용답동 233-3번지 1층서울특별시 성동구 천호대로 420 (용답동,1층)<NA>아쿠아마린게임장2008-10-15 09:23:59I2018-08-31 23:59:59.0<NA>205722.425433450967.562913청소년게임제공업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
403030000CDFF224114201700000120170103<NA>3폐업3폐업20180830<NA><NA><NA><NA><NA><NA>서울특별시 성동구 행당동 286-2번지서울특별시 성동구 왕십리로 323, 1층 (행당동)4715뽑기닷컴2018-08-30 12:35:06I2018-08-31 23:59:59.0<NA>202881.223308451109.62052청소년게임제공업유통관련업<NA><NA>마트크레인 4대, 토이즈팝 4대, 짱 1대(인형뽑기 총9대)24.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>9<NA>전체이용가<NA><NA><NA><NA>
413030000CDFF224114201700000220170314<NA>3폐업3폐업20190404<NA><NA><NA><NA><NA><NA>서울특별시 성동구 행당동 19-100번지서울특별시 성동구 마조로 9 (행당동)4760오빠이거뽑아죠2019-04-04 16:12:53U2019-04-06 02:40:00.0<NA>203514.842718450716.717126청소년게임제공업유통관련업<NA><NA><NA>100.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
423030000CDFF22411420170000032017-04-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 행당동 19-54서울특별시 성동구 마조로 17, 47,48호 (행당동, 한양시장)4760인생사진 인형뽑기2023-08-18 15:27:35U2022-12-07 22:00:00.0<NA>203512.949927450799.537553<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
433030000CDFF224114201700000420170706<NA>3폐업3폐업20180508<NA><NA><NA><NA><NA><NA>서울특별시 성동구 용답동 73-2번지서울특별시 성동구 천호대로 292 (용답동)4804뽑히냥2018-05-08 10:23:47I2018-08-31 23:59:59.0<NA>204609.299038451552.724287청소년게임제공업유통관련업<NA><NA><NA>129.69<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
443030000CDFF224114201700000520170710<NA>4취소/말소/만료/정지/중지35직권말소20190930<NA><NA><NA><NA><NA><NA>서울특별시 성동구 행당동 19-108번지서울특별시 성동구 마조로 15-11 (행당동)4760몬스터크레인화이트2019-10-10 17:41:50U2019-10-12 02:40:00.0<NA>203504.821555450741.226763청소년게임제공업유통관련업<NA><NA><NA>63.7<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
453030000CDFF224114201700000620170929<NA>3폐업3폐업20180214<NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동2가 300-66번지서울특별시 성동구 아차산로 93, 4층 (성수동2가)4794성동게임랜드2018-02-14 09:14:56I2018-08-31 23:59:59.0<NA>204762.297586449221.013272청소년게임제공업유통관련업<NA><NA><NA>140.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
463030000CDFF224114201900000120190731<NA>3폐업3폐업20191226<NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동2가 299-200번지 성광빌딩서울특별시 성동구 아차산로7길 29, 성광빌딩 1층 (성수동2가)4792뽑꼬뽑꼬2019-12-26 15:12:03U2019-12-28 02:40:00.0<NA>204802.374891449515.862984청소년게임제공업유통관련업<NA><NA>곰탱이(아케이드게임)33.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>10<NA>전체이용가<NA><NA><NA><NA>
473030000CDFF22411420200000012020-02-11<NA>3폐업3폐업2023-05-02<NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동2가 335-141서울특별시 성동구 성덕정길 99, 1층 102,103호 (성수동2가)4776뽑기섬2023-05-02 16:57:07U2022-12-05 00:04:00.0<NA>204757.856227448372.195932<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
483030000CDFF224114202000000220200923<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동2가 566-35 우리두리놀이방서울특별시 성동구 성덕정17길 4, 우리두리놀이방 1층 (성수동2가)4776뽑기나라2020-09-23 10:14:05I2020-09-25 00:23:12.0<NA>204825.10225448368.273015청소년게임제공업유통관련업<NA><NA>코코짱, 토이즈팝, 럭셔리 러브푸쉬, 레인보우 플러스230.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>10<NA>전체이용가<NA><NA><NA><NA>
493030000CDFF22411420200000032020-12-24<NA>3폐업3폐업2023-12-29<NA><NA><NA><NA><NA><NA>서울특별시 성동구 상왕십리동 811 텐즈힐서울특별시 성동구 마장로 137, 221동 1층 1144호 (상왕십리동, 텐즈힐)4700뽑?2023-12-29 17:27:35U2022-11-01 21:01:00.0<NA>202113.869605451897.581865<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>