Overview

Dataset statistics

Number of variables56
Number of observations99
Missing cells2746
Missing cells (%)49.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory47.0 KiB
Average record size in memory486.3 B

Variable types

Categorical16
Text6
DateTime4
Numeric7
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
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-16839/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지우편번호 is highly imbalanced (89.7%)Imbalance
문화체육업종명 is highly imbalanced (75.6%)Imbalance
문화사업자구분명 is highly imbalanced (75.6%)Imbalance
주변환경명 is highly imbalanced (67.2%)Imbalance
지상층수 is highly imbalanced (54.1%)Imbalance
조명시설조도 is highly imbalanced (91.9%)Imbalance
제공게임물명 is highly imbalanced (76.7%)Imbalance
지역구분명 is highly imbalanced (53.6%)Imbalance
인허가취소일자 has 81 (81.8%) missing valuesMissing
폐업일자 has 27 (27.3%) missing valuesMissing
휴업시작일자 has 99 (100.0%) missing valuesMissing
휴업종료일자 has 99 (100.0%) missing valuesMissing
재개업일자 has 99 (100.0%) missing valuesMissing
전화번호 has 94 (94.9%) missing valuesMissing
소재지면적 has 99 (100.0%) missing valuesMissing
도로명우편번호 has 58 (58.6%) missing valuesMissing
업태구분명 has 99 (100.0%) missing valuesMissing
총층수 has 91 (91.9%) missing valuesMissing
제작취급품목내용 has 48 (48.5%) missing valuesMissing
시설면적 has 6 (6.1%) missing valuesMissing
통로너비 has 99 (100.0%) missing valuesMissing
노래방실수 has 99 (100.0%) missing valuesMissing
청소년실수 has 99 (100.0%) missing valuesMissing
비상계단여부 has 99 (100.0%) missing valuesMissing
비상구여부 has 99 (100.0%) missing valuesMissing
자동환기여부 has 99 (100.0%) missing valuesMissing
청소년실여부 has 99 (100.0%) missing valuesMissing
특수조명여부 has 99 (100.0%) missing valuesMissing
방음시설여부 has 99 (100.0%) missing valuesMissing
비디오재생기명 has 99 (100.0%) missing valuesMissing
조명시설유무 has 99 (100.0%) missing valuesMissing
음향시설여부 has 99 (100.0%) missing valuesMissing
편의시설여부 has 99 (100.0%) missing valuesMissing
소방시설여부 has 99 (100.0%) missing valuesMissing
총게임기수 has 64 (64.6%) missing valuesMissing
기존게임업외업종명 has 99 (100.0%) missing valuesMissing
공연장형태구분명 has 99 (100.0%) missing valuesMissing
품목명 has 99 (100.0%) missing valuesMissing
최초등록시점 has 99 (100.0%) missing valuesMissing
관리번호 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
시설면적 has 1 (1.0%) zerosZeros

Reproduction

Analysis started2024-05-11 01:43:38.926446
Analysis finished2024-05-11 01:43:40.340725
Duration1.41 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
3220000
99 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3220000
2nd row3220000
3rd row3220000
4th row3220000
5th row3220000

Common Values

ValueCountFrequency (%)
3220000 99
100.0%

Length

2024-05-11T01:43:40.462257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:43:40.672342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 99
100.0%

관리번호
Text

UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
2024-05-11T01:43:41.039077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1980
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

Unique99 ?
Unique (%)100.0%

Sample

1st rowCDFF2241142007000001
2nd rowCDFF2241142007000003
3rd rowCDFF2241142007000004
4th rowCDFF2241142007000005
5th rowCDFF2241142007000006
ValueCountFrequency (%)
cdff2241142007000001 1
 
1.0%
cdff2241142010000006 1
 
1.0%
cdff2241142015000004 1
 
1.0%
cdff2241142015000003 1
 
1.0%
cdff2241142015000002 1
 
1.0%
cdff2241142015000001 1
 
1.0%
cdff2241142014000002 1
 
1.0%
cdff2241142014000001 1
 
1.0%
cdff2241142013000003 1
 
1.0%
cdff2241142013000002 1
 
1.0%
Other values (89) 89
89.9%
2024-05-11T01:43:41.874991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 625
31.6%
2 324
16.4%
1 293
14.8%
4 210
 
10.6%
F 198
 
10.0%
C 99
 
5.0%
D 99
 
5.0%
9 39
 
2.0%
7 31
 
1.6%
3 21
 
1.1%
Other values (3) 41
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1584
80.0%
Uppercase Letter 396
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 625
39.5%
2 324
20.5%
1 293
18.5%
4 210
 
13.3%
9 39
 
2.5%
7 31
 
2.0%
3 21
 
1.3%
6 15
 
0.9%
8 14
 
0.9%
5 12
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 198
50.0%
C 99
25.0%
D 99
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1584
80.0%
Latin 396
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 625
39.5%
2 324
20.5%
1 293
18.5%
4 210
 
13.3%
9 39
 
2.5%
7 31
 
2.0%
3 21
 
1.3%
6 15
 
0.9%
8 14
 
0.9%
5 12
 
0.8%
Latin
ValueCountFrequency (%)
F 198
50.0%
C 99
25.0%
D 99
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1980
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 625
31.6%
2 324
16.4%
1 293
14.8%
4 210
 
10.6%
F 198
 
10.0%
C 99
 
5.0%
D 99
 
5.0%
9 39
 
2.0%
7 31
 
1.6%
3 21
 
1.1%
Other values (3) 41
 
2.1%

인허가일자
Date

Distinct92
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size924.0 B
Minimum2007-08-08 00:00:00
Maximum2021-10-27 00:00:00
2024-05-11T01:43:42.199427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:43:42.507017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)66.7%
Missing81
Missing (%)81.8%
Infinite0
Infinite (%)0.0%
Mean20109370
Minimum20090720
Maximum20180116
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-05-11T01:43:42.834619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090720
5-th percentile20090720
Q120100310
median20100317
Q320110601
95-th percentile20146785
Maximum20180116
Range89396
Interquartile range (IQR)10290.75

Descriptive statistics

Standard deviation20817.233
Coefficient of variation (CV)0.0010352007
Kurtosis8.1424008
Mean20109370
Median Absolute Deviation (MAD)9597
Skewness2.6882538
Sum3.6196866 × 108
Variance4.3335719 × 108
MonotonicityNot monotonic
2024-05-11T01:43:43.192060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
20100317 5
 
5.1%
20090720 2
 
2.0%
20110601 2
 
2.0%
20100210 1
 
1.0%
20100111 1
 
1.0%
20100308 1
 
1.0%
20110317 1
 
1.0%
20111223 1
 
1.0%
20110429 1
 
1.0%
20110812 1
 
1.0%
Other values (2) 2
 
2.0%
(Missing) 81
81.8%
ValueCountFrequency (%)
20090720 2
 
2.0%
20100111 1
 
1.0%
20100210 1
 
1.0%
20100308 1
 
1.0%
20100317 5
5.1%
20110317 1
 
1.0%
20110429 1
 
1.0%
20110601 2
 
2.0%
20110812 1
 
1.0%
20111223 1
 
1.0%
ValueCountFrequency (%)
20180116 1
 
1.0%
20140903 1
 
1.0%
20111223 1
 
1.0%
20110812 1
 
1.0%
20110601 2
 
2.0%
20110429 1
 
1.0%
20110317 1
 
1.0%
20100317 5
5.1%
20100308 1
 
1.0%
20100210 1
 
1.0%

영업상태코드
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
3
62 
4
28 
1
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 62
62.6%
4 28
28.3%
1 9
 
9.1%

Length

2024-05-11T01:43:43.516579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:43:43.847476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 62
62.6%
4 28
28.3%
1 9
 
9.1%

영업상태명
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
폐업
62 
취소/말소/만료/정지/중지
28 
영업/정상
9 

Length

Max length14
Median length2
Mean length5.6666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 62
62.6%
취소/말소/만료/정지/중지 28
28.3%
영업/정상 9
 
9.1%

Length

2024-05-11T01:43:44.275000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:43:44.645194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 62
62.6%
취소/말소/만료/정지/중지 28
28.3%
영업/정상 9
 
9.1%

상세영업상태코드
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
3
62 
31
18 
35
10 
13
9 

Length

Max length2
Median length1
Mean length1.3737374
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 62
62.6%
31 18
 
18.2%
35 10
 
10.1%
13 9
 
9.1%

Length

2024-05-11T01:43:44.996975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:43:45.356535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 62
62.6%
31 18
 
18.2%
35 10
 
10.1%
13 9
 
9.1%

상세영업상태명
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
폐업
62 
등록취소
18 
직권말소
10 
영업중
9 

Length

Max length4
Median length2
Mean length2.6565657
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 62
62.6%
등록취소 18
 
18.2%
직권말소 10
 
10.1%
영업중 9
 
9.1%

Length

2024-05-11T01:43:45.871951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:43:46.236570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 62
62.6%
등록취소 18
 
18.2%
직권말소 10
 
10.1%
영업중 9
 
9.1%

폐업일자
Date

MISSING 

Distinct58
Distinct (%)80.6%
Missing27
Missing (%)27.3%
Memory size924.0 B
Minimum2008-10-13 00:00:00
Maximum2024-05-03 00:00:00
2024-05-11T01:43:46.591064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:43:47.135581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

전화번호
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing94
Missing (%)94.9%
Memory size924.0 B
2024-05-11T01:43:47.568220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length9.2
Min length8

Characters and Unicode

Total characters46
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

Unique5 ?
Unique (%)100.0%

Sample

1st row451-5161
2nd row555-4680
3rd row458-1274
4th row02-566-9936
5th row02-333-8334
ValueCountFrequency (%)
451-5161 1
20.0%
555-4680 1
20.0%
458-1274 1
20.0%
02-566-9936 1
20.0%
02-333-8334 1
20.0%
2024-05-11T01:43:48.377038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 7
15.2%
- 7
15.2%
3 6
13.0%
4 5
10.9%
6 5
10.9%
1 4
8.7%
8 3
6.5%
0 3
6.5%
2 3
6.5%
9 2
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39
84.8%
Dash Punctuation 7
 
15.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 7
17.9%
3 6
15.4%
4 5
12.8%
6 5
12.8%
1 4
10.3%
8 3
7.7%
0 3
7.7%
2 3
7.7%
9 2
 
5.1%
7 1
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 46
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 7
15.2%
- 7
15.2%
3 6
13.0%
4 5
10.9%
6 5
10.9%
1 4
8.7%
8 3
6.5%
0 3
6.5%
2 3
6.5%
9 2
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 46
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 7
15.2%
- 7
15.2%
3 6
13.0%
4 5
10.9%
6 5
10.9%
1 4
8.7%
8 3
6.5%
0 3
6.5%
2 3
6.5%
9 2
 
4.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
<NA>
97 
135500
 
1
135230
 
1

Length

Max length6
Median length4
Mean length4.040404
Min length4

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row135500
5th row135230

Common Values

ValueCountFrequency (%)
<NA> 97
98.0%
135500 1
 
1.0%
135230 1
 
1.0%

Length

2024-05-11T01:43:48.823671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:43:49.124306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 97
98.0%
135500 1
 
1.0%
135230 1
 
1.0%

지번주소
Text

Distinct96
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
2024-05-11T01:43:49.693216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length33
Mean length25.868687
Min length18

Characters and Unicode

Total characters2561
Distinct characters63
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)93.9%

Sample

1st row서울특별시 강남구 개포동 1257-6번지 지하1층
2nd row서울특별시 강남구 대치동 628번지 지상1층 103호
3rd row서울특별시 강남구 삼성동 159번지 지하1층 코엑스몰 T8호
4th row서울특별시 강남구 대치동 1019-12번지 지하3호
5th row서울특별시 강남구 일원동 731번지 한솔상가 지하16호
ValueCountFrequency (%)
서울특별시 99
20.7%
강남구 99
20.7%
역삼동 38
 
7.9%
지하1층 32
 
6.7%
대치동 16
 
3.3%
논현동 15
 
3.1%
삼성동 13
 
2.7%
신사동 8
 
1.7%
일원동 4
 
0.8%
143-19번지 4
 
0.8%
Other values (119) 151
31.5%
2024-05-11T01:43:50.757209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
474
18.5%
지 147
 
5.7%
1 146
 
5.7%
남 99
 
3.9%
동 99
 
3.9%
구 99
 
3.9%
서 99
 
3.9%
강 99
 
3.9%
시 99
 
3.9%
별 99
 
3.9%
Other values (53) 1101
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1479
57.8%
Decimal Number 518
 
20.2%
Space Separator 474
 
18.5%
Dash Punctuation 82
 
3.2%
Lowercase Letter 3
 
0.1%
Other Punctuation 2
 
0.1%
Uppercase Letter 2
 
0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 147
 
9.9%
남 99
 
6.7%
동 99
 
6.7%
구 99
 
6.7%
서 99
 
6.7%
강 99
 
6.7%
시 99
 
6.7%
별 99
 
6.7%
특 99
 
6.7%
울 99
 
6.7%
Other values (35) 441
29.8%
Decimal Number
ValueCountFrequency (%)
1 146
28.2%
2 59
11.4%
3 56
 
10.8%
6 48
 
9.3%
9 43
 
8.3%
8 40
 
7.7%
7 35
 
6.8%
5 31
 
6.0%
0 31
 
6.0%
4 29
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
b 2
66.7%
o 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
T 1
50.0%
Space Separator
ValueCountFrequency (%)
474
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1479
57.8%
Common 1077
42.1%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 147
 
9.9%
남 99
 
6.7%
동 99
 
6.7%
구 99
 
6.7%
서 99
 
6.7%
강 99
 
6.7%
시 99
 
6.7%
별 99
 
6.7%
특 99
 
6.7%
울 99
 
6.7%
Other values (35) 441
29.8%
Common
ValueCountFrequency (%)
474
44.0%
1 146
 
13.6%
- 82
 
7.6%
2 59
 
5.5%
3 56
 
5.2%
6 48
 
4.5%
9 43
 
4.0%
8 40
 
3.7%
7 35
 
3.2%
5 31
 
2.9%
Other values (4) 63
 
5.8%
Latin
ValueCountFrequency (%)
b 2
40.0%
B 1
20.0%
o 1
20.0%
T 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1479
57.8%
ASCII 1082
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
474
43.8%
1 146
 
13.5%
- 82
 
7.6%
2 59
 
5.5%
3 56
 
5.2%
6 48
 
4.4%
9 43
 
4.0%
8 40
 
3.7%
7 35
 
3.2%
5 31
 
2.9%
Other values (8) 68
 
6.3%
Hangul
ValueCountFrequency (%)
지 147
 
9.9%
남 99
 
6.7%
동 99
 
6.7%
구 99
 
6.7%
서 99
 
6.7%
강 99
 
6.7%
시 99
 
6.7%
별 99
 
6.7%
특 99
 
6.7%
울 99
 
6.7%
Other values (35) 441
29.8%

도로명주소
Text

Distinct96
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
2024-05-11T01:43:51.352143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length41
Mean length31.494949
Min length23

Characters and Unicode

Total characters3118
Distinct characters112
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)93.9%

Sample

1st row서울특별시 강남구 개포로25길 5 (개포동,지하1층)
2nd row서울특별시 강남구 남부순환로 2915, 103호 (대치동,지상1층)
3rd row서울특별시 강남구 영동대로 511 (삼성동,지하1층 코엑스몰 T8호)
4th row서울특별시 강남구 삼성로 229 (대치동,지하3호)
5th row서울특별시 강남구 광평로10길 6 (일원동,한솔상가 지하16호)
ValueCountFrequency (%)
서울특별시 99
 
17.8%
강남구 99
 
17.8%
역삼동 13
 
2.3%
대치동 13
 
2.3%
역삼동,지하1층 12
 
2.2%
강남대로 9
 
1.6%
1층 9
 
1.6%
10 9
 
1.6%
논현동 8
 
1.4%
지하1층 8
 
1.4%
Other values (188) 278
49.9%
2024-05-11T01:43:52.405859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
515
 
16.5%
1 131
 
4.2%
남 122
 
3.9%
강 119
 
3.8%
동 105
 
3.4%
, 101
 
3.2%
구 101
 
3.2%
서 100
 
3.2%
시 99
 
3.2%
로 99
 
3.2%
Other values (102) 1626
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1813
58.1%
Space Separator 515
 
16.5%
Decimal Number 469
 
15.0%
Other Punctuation 101
 
3.2%
Close Punctuation 99
 
3.2%
Open Punctuation 99
 
3.2%
Uppercase Letter 14
 
0.4%
Dash Punctuation 4
 
0.1%
Lowercase Letter 3
 
0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 122
 
6.7%
강 119
 
6.6%
동 105
 
5.8%
구 101
 
5.6%
서 100
 
5.5%
시 99
 
5.5%
로 99
 
5.5%
별 99
 
5.5%
특 99
 
5.5%
울 99
 
5.5%
Other values (75) 771
42.5%
Decimal Number
ValueCountFrequency (%)
1 131
27.9%
2 77
16.4%
3 49
 
10.4%
5 43
 
9.2%
4 42
 
9.0%
0 32
 
6.8%
6 31
 
6.6%
8 25
 
5.3%
9 23
 
4.9%
7 16
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
B 3
21.4%
T 2
14.3%
O 2
14.3%
G 2
14.3%
L 1
 
7.1%
D 1
 
7.1%
W 1
 
7.1%
E 1
 
7.1%
R 1
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
b 2
66.7%
o 1
33.3%
Space Separator
ValueCountFrequency (%)
515
100.0%
Other Punctuation
ValueCountFrequency (%)
, 101
100.0%
Close Punctuation
ValueCountFrequency (%)
) 99
100.0%
Open Punctuation
ValueCountFrequency (%)
( 99
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1813
58.1%
Common 1288
41.3%
Latin 17
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 122
 
6.7%
강 119
 
6.6%
동 105
 
5.8%
구 101
 
5.6%
서 100
 
5.5%
시 99
 
5.5%
로 99
 
5.5%
별 99
 
5.5%
특 99
 
5.5%
울 99
 
5.5%
Other values (75) 771
42.5%
Common
ValueCountFrequency (%)
515
40.0%
1 131
 
10.2%
, 101
 
7.8%
) 99
 
7.7%
( 99
 
7.7%
2 77
 
6.0%
3 49
 
3.8%
5 43
 
3.3%
4 42
 
3.3%
0 32
 
2.5%
Other values (6) 100
 
7.8%
Latin
ValueCountFrequency (%)
B 3
17.6%
T 2
11.8%
O 2
11.8%
G 2
11.8%
b 2
11.8%
L 1
 
5.9%
D 1
 
5.9%
W 1
 
5.9%
E 1
 
5.9%
R 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1813
58.1%
ASCII 1305
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
515
39.5%
1 131
 
10.0%
, 101
 
7.7%
) 99
 
7.6%
( 99
 
7.6%
2 77
 
5.9%
3 49
 
3.8%
5 43
 
3.3%
4 42
 
3.2%
0 32
 
2.5%
Other values (17) 117
 
9.0%
Hangul
ValueCountFrequency (%)
남 122
 
6.7%
강 119
 
6.6%
동 105
 
5.8%
구 101
 
5.6%
서 100
 
5.5%
시 99
 
5.5%
로 99
 
5.5%
별 99
 
5.5%
특 99
 
5.5%
울 99
 
5.5%
Other values (75) 771
42.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)63.4%
Missing58
Missing (%)58.6%
Infinite0
Infinite (%)0.0%
Mean31446.073
Minimum6034
Maximum135840
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-05-11T01:43:52.710081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6034
5-th percentile6035
Q16123
median6164
Q36283
95-th percentile135840
Maximum135840
Range129806
Interquartile range (IQR)160

Descriptive statistics

Standard deviation52002.335
Coefficient of variation (CV)1.6536989
Kurtosis0.57849696
Mean31446.073
Median Absolute Deviation (MAD)50
Skewness1.5977033
Sum1289289
Variance2.7042429 × 109
MonotonicityNot monotonic
2024-05-11T01:43:53.000473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
135840 5
 
5.1%
6123 4
 
4.0%
6134 3
 
3.0%
6129 2
 
2.0%
6114 2
 
2.0%
6120 2
 
2.0%
6034 2
 
2.0%
6035 2
 
2.0%
6164 2
 
2.0%
135280 1
 
1.0%
Other values (16) 16
 
16.2%
(Missing) 58
58.6%
ValueCountFrequency (%)
6034 2
2.0%
6035 2
2.0%
6106 1
 
1.0%
6114 2
2.0%
6115 1
 
1.0%
6120 2
2.0%
6123 4
4.0%
6129 2
2.0%
6134 3
3.0%
6147 1
 
1.0%
ValueCountFrequency (%)
135840 5
5.1%
135830 1
 
1.0%
135827 1
 
1.0%
135280 1
 
1.0%
6343 1
 
1.0%
6308 1
 
1.0%
6283 1
 
1.0%
6282 1
 
1.0%
6257 1
 
1.0%
6248 1
 
1.0%

사업장명
Text

Distinct91
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size924.0 B
2024-05-11T01:43:53.506345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length6.7474747
Min length2

Characters and Unicode

Total characters668
Distinct characters166
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)83.8%

Sample

1st row게임메이커
2nd row재미나게임장
3rd row게임챔프
4th row그랜져오락실
5th row복건게임랜드
ValueCountFrequency (%)
게임랜드 13
 
9.2%
청소년게임장 8
 
5.7%
게임장 5
 
3.5%
역삼게임장 2
 
1.4%
대박게임랜드 2
 
1.4%
플스방 2
 
1.4%
세컨드 2
 
1.4%
선릉게임장 2
 
1.4%
sm 2
 
1.4%
삼성게임장 2
 
1.4%
Other values (100) 101
71.6%
2024-05-11T01:43:54.443008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 66
 
9.9%
임 65
 
9.7%
42
 
6.3%
드 34
 
5.1%
랜 29
 
4.3%
장 27
 
4.0%
스 19
 
2.8%
소 14
 
2.1%
청 14
 
2.1%
년 13
 
1.9%
Other values (156) 345
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 572
85.6%
Space Separator 42
 
6.3%
Uppercase Letter 34
 
5.1%
Lowercase Letter 6
 
0.9%
Close Punctuation 4
 
0.6%
Open Punctuation 4
 
0.6%
Decimal Number 4
 
0.6%
Other Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 66
 
11.5%
임 65
 
11.4%
드 34
 
5.9%
랜 29
 
5.1%
장 27
 
4.7%
스 19
 
3.3%
소 14
 
2.4%
청 14
 
2.4%
년 13
 
2.3%
이 9
 
1.6%
Other values (129) 282
49.3%
Uppercase Letter
ValueCountFrequency (%)
O 6
17.6%
L 5
14.7%
D 3
8.8%
E 3
8.8%
S 3
8.8%
M 3
8.8%
Y 2
 
5.9%
G 2
 
5.9%
H 2
 
5.9%
F 1
 
2.9%
Other values (4) 4
11.8%
Lowercase Letter
ValueCountFrequency (%)
u 1
16.7%
k 1
16.7%
n 1
16.7%
t 1
16.7%
i 1
16.7%
y 1
16.7%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
4 1
25.0%
2 1
25.0%
Space Separator
ValueCountFrequency (%)
42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Punctuation
ValueCountFrequency (%)
! 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 572
85.6%
Common 56
 
8.4%
Latin 40
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 66
 
11.5%
임 65
 
11.4%
드 34
 
5.9%
랜 29
 
5.1%
장 27
 
4.7%
스 19
 
3.3%
소 14
 
2.4%
청 14
 
2.4%
년 13
 
2.3%
이 9
 
1.6%
Other values (129) 282
49.3%
Latin
ValueCountFrequency (%)
O 6
15.0%
L 5
12.5%
D 3
 
7.5%
E 3
 
7.5%
S 3
 
7.5%
M 3
 
7.5%
Y 2
 
5.0%
G 2
 
5.0%
H 2
 
5.0%
u 1
 
2.5%
Other values (10) 10
25.0%
Common
ValueCountFrequency (%)
42
75.0%
) 4
 
7.1%
( 4
 
7.1%
! 2
 
3.6%
1 2
 
3.6%
4 1
 
1.8%
2 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 572
85.6%
ASCII 96
 
14.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 66
 
11.5%
임 65
 
11.4%
드 34
 
5.9%
랜 29
 
5.1%
장 27
 
4.7%
스 19
 
3.3%
소 14
 
2.4%
청 14
 
2.4%
년 13
 
2.3%
이 9
 
1.6%
Other values (129) 282
49.3%
ASCII
ValueCountFrequency (%)
42
43.8%
O 6
 
6.2%
L 5
 
5.2%
) 4
 
4.2%
( 4
 
4.2%
D 3
 
3.1%
E 3
 
3.1%
S 3
 
3.1%
M 3
 
3.1%
Y 2
 
2.1%
Other values (17) 21
21.9%

최종수정일자
Date

Distinct91
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size924.0 B
Minimum2008-10-13 09:27:19
Maximum2024-05-03 17:14:50
2024-05-11T01:43:54.985438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:43:55.554650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
I
83 
U
16 

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 83
83.8%
U 16
 
16.2%

Length

2024-05-11T01:43:56.243172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:43:56.976325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 83
83.8%
u 16
 
16.2%

데이터갱신일자
Date

Distinct16
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Memory size924.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T01:43:57.537832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:43:58.173778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

좌표정보(X)
Real number (ℝ)

Distinct83
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203604.42
Minimum201695.8
Maximum207481.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-05-11T01:43:58.767778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201695.8
5-th percentile201907.93
Q1202336.98
median203506.03
Q3204596.62
95-th percentile205423.66
Maximum207481.92
Range5786.1223
Interquartile range (IQR)2259.6432

Descriptive statistics

Standard deviation1331.3878
Coefficient of variation (CV)0.006539091
Kurtosis0.33370831
Mean203604.42
Median Absolute Deviation (MAD)1105.2411
Skewness0.6804909
Sum20156838
Variance1772593.6
MonotonicityNot monotonic
2024-05-11T01:43:59.386631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204596.861509653 4
 
4.0%
205130.591678902 3
 
3.0%
204627.423538699 3
 
3.0%
202077.94256829 2
 
2.0%
203018.431777319 2
 
2.0%
204060.258504514 2
 
2.0%
203081.161708641 2
 
2.0%
204596.386898687 2
 
2.0%
204557.950557321 2
 
2.0%
202262.457856142 2
 
2.0%
Other values (73) 75
75.8%
ValueCountFrequency (%)
201695.800640834 1
1.0%
201755.849621677 1
1.0%
201773.37 1
1.0%
201801.404040861 1
1.0%
201902.922030236 1
1.0%
201908.485426564 1
1.0%
201915.919299026 1
1.0%
201928.722219017 1
1.0%
201942.737405801 1
1.0%
201962.852859502 1
1.0%
ValueCountFrequency (%)
207481.922979037 1
 
1.0%
207384.855 1
 
1.0%
207330.570831961 1
 
1.0%
206785.861319245 1
 
1.0%
205949.394262765 1
 
1.0%
205365.24299343 1
 
1.0%
205336.355 1
 
1.0%
205197.357758072 1
 
1.0%
205139.206207966 1
 
1.0%
205130.591678902 3
3.0%

좌표정보(Y)
Real number (ℝ)

Distinct83
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean444616.75
Minimum441809.8
Maximum447256.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-05-11T01:44:00.196464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441809.8
5-th percentile443004.1
Q1444138.24
median444635.79
Q3445206.85
95-th percentile446251.41
Maximum447256.06
Range5446.2583
Interquartile range (IQR)1068.6125

Descriptive statistics

Standard deviation993.45297
Coefficient of variation (CV)0.0022344029
Kurtosis1.5890782
Mean444616.75
Median Absolute Deviation (MAD)552.60923
Skewness-0.50992499
Sum44017058
Variance986948.81
MonotonicityNot monotonic
2024-05-11T01:44:00.686250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
444933.736880989 4
 
4.0%
445590.096837802 3
 
3.0%
444635.785162319 3
 
3.0%
444851.373830073 2
 
2.0%
444573.087290471 2
 
2.0%
444710.917406208 2
 
2.0%
444381.101104143 2
 
2.0%
444623.044946341 2
 
2.0%
444432.093068105 2
 
2.0%
444382.542260289 2
 
2.0%
Other values (73) 75
75.8%
ValueCountFrequency (%)
441809.800458889 1
1.0%
441838.456884359 1
1.0%
441887.673971685 1
1.0%
441900.400155464 1
1.0%
442191.586619594 1
1.0%
443094.38 1
1.0%
443103.471127946 1
1.0%
443160.724771174 1
1.0%
443359.53202957 1
1.0%
443414.538440136 1
1.0%
ValueCountFrequency (%)
447256.058730404 1
 
1.0%
446883.020354601 1
 
1.0%
446326.584211044 1
 
1.0%
446309.739413041 1
 
1.0%
446279.425198652 1
 
1.0%
446248.296497573 1
 
1.0%
446231.505812436 1
 
1.0%
446137.7021183 1
 
1.0%
446087.16 1
 
1.0%
445590.096837802 3
3.0%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
청소년게임제공업
95 
<NA>
 
4

Length

Max length8
Median length8
Mean length7.8383838
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청소년게임제공업 95
96.0%
<NA> 4
 
4.0%

Length

2024-05-11T01:44:01.122261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:44:01.529269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청소년게임제공업 95
96.0%
na 4
 
4.0%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
유통관련업
95 
<NA>
 
4

Length

Max length5
Median length5
Mean length4.959596
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 95
96.0%
<NA> 4
 
4.0%

Length

2024-05-11T01:44:01.883397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:44:02.235842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 95
96.0%
na 4
 
4.0%

총층수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)75.0%
Missing91
Missing (%)91.9%
Infinite0
Infinite (%)0.0%
Mean4.125
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-05-11T01:44:02.705363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.35
Q12.75
median4
Q35.5
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation2.1671245
Coefficient of variation (CV)0.52536351
Kurtosis-0.94254941
Mean4.125
Median Absolute Deviation (MAD)1.5
Skewness0.12457151
Sum33
Variance4.6964286
MonotonicityNot monotonic
2024-05-11T01:44:03.185508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 2
 
2.0%
7 2
 
2.0%
3 1
 
1.0%
1 1
 
1.0%
2 1
 
1.0%
5 1
 
1.0%
(Missing) 91
91.9%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 2
2.0%
5 1
1.0%
7 2
2.0%
ValueCountFrequency (%)
7 2
2.0%
5 1
1.0%
4 2
2.0%
3 1
1.0%
2 1
1.0%
1 1
1.0%

주변환경명
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
<NA>
89 
기타
9 
유흥업소밀집지역
 
1

Length

Max length8
Median length4
Mean length3.8585859
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 89
89.9%
기타 9
 
9.1%
유흥업소밀집지역 1
 
1.0%

Length

2024-05-11T01:44:03.706856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:44:04.173977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 89
89.9%
기타 9
 
9.1%
유흥업소밀집지역 1
 
1.0%

제작취급품목내용
Text

MISSING 

Distinct49
Distinct (%)96.1%
Missing48
Missing (%)48.5%
Memory size924.0 B
2024-05-11T01:44:04.868374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length24
Mean length14.529412
Min length3

Characters and Unicode

Total characters741
Distinct characters175
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)92.2%

Sample

1st row플레이스테이션
2nd row아마존어드벤처 AR-090206-004호
3rd row아케이드 게임(fm소프트)
4th row뽁뽁이모험(아케이드게임)AR-090529-001
5th row아케이드게임(포경선)
ValueCountFrequency (%)
아케이드 4
 
5.1%
게임 3
 
3.8%
플레이스테이션 2
 
2.6%
아케이드게임(프라이드)cc-na-100901-001 2
 
2.6%
스위트랜드4(브라이트버전)외 1
 
1.3%
외 1
 
1.3%
앤슛 1
 
1.3%
플레이스테이션4 1
 
1.3%
월드사커위닝일레븐2015 1
 
1.3%
용팔아3 1
 
1.3%
Other values (61) 61
78.2%
2024-05-11T01:44:06.172577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 50
 
6.7%
이 43
 
5.8%
1 34
 
4.6%
- 30
 
4.0%
드 30
 
4.0%
아 29
 
3.9%
( 29
 
3.9%
) 27
 
3.6%
27
 
3.6%
게 22
 
3.0%
Other values (165) 420
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 412
55.6%
Decimal Number 130
 
17.5%
Uppercase Letter 65
 
8.8%
Dash Punctuation 30
 
4.0%
Open Punctuation 30
 
4.0%
Close Punctuation 28
 
3.8%
Space Separator 27
 
3.6%
Other Punctuation 10
 
1.3%
Lowercase Letter 9
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 43
 
10.4%
드 30
 
7.3%
아 29
 
7.0%
게 22
 
5.3%
임 21
 
5.1%
케 21
 
5.1%
스 14
 
3.4%
레 10
 
2.4%
호 7
 
1.7%
인 6
 
1.5%
Other values (120) 209
50.7%
Uppercase Letter
ValueCountFrequency (%)
C 18
27.7%
A 12
18.5%
N 10
15.4%
S 3
 
4.6%
R 3
 
4.6%
I 2
 
3.1%
E 2
 
3.1%
B 2
 
3.1%
P 2
 
3.1%
U 2
 
3.1%
Other values (8) 9
13.8%
Decimal Number
ValueCountFrequency (%)
0 50
38.5%
1 34
26.2%
4 9
 
6.9%
9 8
 
6.2%
5 8
 
6.2%
2 7
 
5.4%
3 7
 
5.4%
6 5
 
3.8%
8 2
 
1.5%
Lowercase Letter
ValueCountFrequency (%)
m 1
11.1%
f 1
11.1%
s 1
11.1%
p 1
11.1%
c 1
11.1%
t 1
11.1%
o 1
11.1%
h 1
11.1%
e 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 8
80.0%
/ 1
 
10.0%
. 1
 
10.0%
Open Punctuation
ValueCountFrequency (%)
( 29
96.7%
[ 1
 
3.3%
Close Punctuation
ValueCountFrequency (%)
) 27
96.4%
] 1
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Space Separator
ValueCountFrequency (%)
27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 412
55.6%
Common 255
34.4%
Latin 74
 
10.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 43
 
10.4%
드 30
 
7.3%
아 29
 
7.0%
게 22
 
5.3%
임 21
 
5.1%
케 21
 
5.1%
스 14
 
3.4%
레 10
 
2.4%
호 7
 
1.7%
인 6
 
1.5%
Other values (120) 209
50.7%
Latin
ValueCountFrequency (%)
C 18
24.3%
A 12
16.2%
N 10
13.5%
S 3
 
4.1%
R 3
 
4.1%
I 2
 
2.7%
E 2
 
2.7%
B 2
 
2.7%
P 2
 
2.7%
U 2
 
2.7%
Other values (17) 18
24.3%
Common
ValueCountFrequency (%)
0 50
19.6%
1 34
13.3%
- 30
11.8%
( 29
11.4%
) 27
10.6%
27
10.6%
4 9
 
3.5%
9 8
 
3.1%
, 8
 
3.1%
5 8
 
3.1%
Other values (8) 25
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 412
55.6%
ASCII 329
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 50
15.2%
1 34
10.3%
- 30
 
9.1%
( 29
 
8.8%
) 27
 
8.2%
27
 
8.2%
C 18
 
5.5%
A 12
 
3.6%
N 10
 
3.0%
4 9
 
2.7%
Other values (35) 83
25.2%
Hangul
ValueCountFrequency (%)
이 43
 
10.4%
드 30
 
7.3%
아 29
 
7.0%
게 22
 
5.3%
임 21
 
5.1%
케 21
 
5.1%
스 14
 
3.4%
레 10
 
2.4%
호 7
 
1.7%
인 6
 
1.5%
Other values (120) 209
50.7%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct86
Distinct (%)92.5%
Missing6
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean140.05183
Minimum0
Maximum607.2
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-05-11T01:44:06.814496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile34.494
Q190
median138.26
Q3167.2
95-th percentile269.736
Maximum607.2
Range607.2
Interquartile range (IQR)77.2

Descriptive statistics

Standard deviation90.891762
Coefficient of variation (CV)0.64898661
Kurtosis9.783687
Mean140.05183
Median Absolute Deviation (MAD)38.3
Skewness2.3516034
Sum13024.82
Variance8261.3123
MonotonicityNot monotonic
2024-05-11T01:44:07.514680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.0 2
 
2.0%
153.34 2
 
2.0%
54.06 2
 
2.0%
191.17 2
 
2.0%
140.6 2
 
2.0%
159.8 2
 
2.0%
156.32 2
 
2.0%
145.79 1
 
1.0%
159.24 1
 
1.0%
39.6 1
 
1.0%
Other values (76) 76
76.8%
(Missing) 6
 
6.1%
ValueCountFrequency (%)
0.0 1
1.0%
18.0 1
1.0%
21.0 1
1.0%
27.2 1
1.0%
33.0 1
1.0%
35.49 1
1.0%
35.55 1
1.0%
39.6 1
1.0%
39.9 1
1.0%
40.0 1
1.0%
ValueCountFrequency (%)
607.2 1
1.0%
531.0 1
1.0%
314.85 1
1.0%
285.98 1
1.0%
273.84 1
1.0%
267.0 1
1.0%
263.16 1
1.0%
253.12 1
1.0%
223.88 1
1.0%
220.3 1
1.0%

지상층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size924.0 B
<NA>
77 
1
11 
2
 
5
3
 
3
5
 
2

Length

Max length4
Median length4
Mean length3.3333333
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 77
77.8%
1 11
 
11.1%
2 5
 
5.1%
3 3
 
3.0%
5 2
 
2.0%
4 1
 
1.0%

Length

2024-05-11T01:44:08.005815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:44:08.301087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 77
77.8%
1 11
 
11.1%
2 5
 
5.1%
3 3
 
3.0%
5 2
 
2.0%
4 1
 
1.0%

지하층수
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
<NA>
67 
1
30 
3
 
1
2
 
1

Length

Max length4
Median length4
Mean length3.030303
Min length1

Unique

Unique2 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 67
67.7%
1 30
30.3%
3 1
 
1.0%
2 1
 
1.0%

Length

2024-05-11T01:44:08.703299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:44:09.065570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 67
67.7%
1 30
30.3%
3 1
 
1.0%
2 1
 
1.0%

건물용도명
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
<NA>
79 
근린생활시설
20 

Length

Max length6
Median length4
Mean length4.4040404
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 79
79.8%
근린생활시설 20
 
20.2%

Length

2024-05-11T01:44:09.456506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:44:09.767141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 79
79.8%
근린생활시설 20
 
20.2%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
<NA>
98 
40
 
1

Length

Max length4
Median length4
Mean length3.979798
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 98
99.0%
40 1
 
1.0%

Length

2024-05-11T01:44:10.293787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:44:10.694794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
99.0%
40 1
 
1.0%

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

총게임기수
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)54.3%
Missing64
Missing (%)64.6%
Infinite0
Infinite (%)0.0%
Mean36.6
Minimum10
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-05-11T01:44:11.091827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile12
Q119
median30
Q349
95-th percentile86.6
Maximum100
Range90
Interquartile range (IQR)30

Descriptive statistics

Standard deviation22.612074
Coefficient of variation (CV)0.61781622
Kurtosis1.0986368
Mean36.6
Median Absolute Deviation (MAD)12
Skewness1.1845237
Sum1281
Variance511.30588
MonotonicityNot monotonic
2024-05-11T01:44:11.554540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
40 7
 
7.1%
60 3
 
3.0%
20 3
 
3.0%
50 3
 
3.0%
18 3
 
3.0%
15 2
 
2.0%
12 2
 
2.0%
30 1
 
1.0%
86 1
 
1.0%
100 1
 
1.0%
Other values (9) 9
 
9.1%
(Missing) 64
64.6%
ValueCountFrequency (%)
10 1
 
1.0%
12 2
2.0%
15 2
2.0%
17 1
 
1.0%
18 3
3.0%
20 3
3.0%
21 1
 
1.0%
22 1
 
1.0%
24 1
 
1.0%
28 1
 
1.0%
ValueCountFrequency (%)
100 1
 
1.0%
88 1
 
1.0%
86 1
 
1.0%
60 3
3.0%
50 3
3.0%
48 1
 
1.0%
40 7
7.1%
30 1
 
1.0%
29 1
 
1.0%
28 1
 
1.0%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

제공게임물명
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
전체이용가
93 
<NA>
 
5
청소년이용불가
 
1

Length

Max length7
Median length5
Mean length4.969697
Min length4

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
전체이용가 93
93.9%
<NA> 5
 
5.1%
청소년이용불가 1
 
1.0%

Length

2024-05-11T01:44:12.167732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:44:12.660790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체이용가 93
93.9%
na 5
 
5.1%
청소년이용불가 1
 
1.0%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

지역구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size924.0 B
<NA>
77 
일반주거지역
12 
주거지역
8 
상업지역
 
1
일반상업지역
 
1

Length

Max length6
Median length4
Mean length4.2626263
Min length4

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row주거지역
2nd row주거지역
3rd row상업지역
4th row주거지역
5th row주거지역

Common Values

ValueCountFrequency (%)
<NA> 77
77.8%
일반주거지역 12
 
12.1%
주거지역 8
 
8.1%
상업지역 1
 
1.0%
일반상업지역 1
 
1.0%

Length

2024-05-11T01:44:13.148010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:44:13.642436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 77
77.8%
일반주거지역 12
 
12.1%
주거지역 8
 
8.1%
상업지역 1
 
1.0%
일반상업지역 1
 
1.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03220000CDFF224114200700000120070808<NA>3폐업3폐업20101228<NA><NA><NA><NA><NA><NA>서울특별시 강남구 개포동 1257-6번지 지하1층서울특별시 강남구 개포로25길 5 (개포동,지하1층)<NA>게임메이커2010-12-29 17:46:11I2018-08-31 23:59:59.0<NA>204182.562259441900.400155청소년게임제공업유통관련업<NA>기타<NA>132.05<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>주거지역
13220000CDFF224114200700000320071123<NA>3폐업3폐업20120217<NA><NA><NA><NA><NA><NA>서울특별시 강남구 대치동 628번지 지상1층 103호서울특별시 강남구 남부순환로 2915, 103호 (대치동,지상1층)<NA>재미나게임장2012-02-24 16:54:20I2018-08-31 23:59:59.0<NA>205139.206208443414.53844청소년게임제공업유통관련업<NA>기타<NA>40.01<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>주거지역
23220000CDFF224114200700000420071122<NA>3폐업3폐업20100426<NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 159번지 지하1층 코엑스몰 T8호서울특별시 강남구 영동대로 511 (삼성동,지하1층 코엑스몰 T8호)<NA>게임챔프2010-04-27 11:29:50I2018-08-31 23:59:59.0<NA>205130.591679445590.096838청소년게임제공업유통관련업<NA>기타<NA>531.0<NA>1근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>상업지역
33220000CDFF224114200700000520071123<NA>3폐업3폐업20081013<NA><NA><NA><NA><NA>135500서울특별시 강남구 대치동 1019-12번지 지하3호서울특별시 강남구 삼성로 229 (대치동,지하3호)<NA>그랜져오락실2008-10-13 09:27:19I2018-08-31 23:59:59.0<NA>205336.355443934.37청소년게임제공업유통관련업<NA>기타<NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>주거지역
43220000CDFF224114200700000620071123<NA>4취소/말소/만료/정지/중지35직권말소20120203<NA><NA><NA><NA><NA>135230서울특별시 강남구 일원동 731번지 한솔상가 지하16호서울특별시 강남구 광평로10길 6 (일원동,한솔상가 지하16호)<NA>복건게임랜드2012-02-03 09:13:36I2018-08-31 23:59:59.0<NA>206785.861319442191.58662청소년게임제공업유통관련업<NA>기타<NA><NA><NA>1근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>주거지역
53220000CDFF224114200700000720071203<NA>3폐업3폐업20171227<NA><NA><NA><NA><NA><NA>서울특별시 강남구 대치동 941-23번지 지하1층서울특별시 강남구 도곡로 449 (대치동, 아가도스빌딩)6209메가풀스 대치점2017-12-27 22:00:14I2018-08-31 23:59:59.0<NA>205197.357758444069.916221청소년게임제공업유통관련업<NA>기타플레이스테이션211.91<NA>1근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>21<NA>전체이용가<NA><NA><NA>주거지역
63220000CDFF224114200700000820071210<NA>3폐업3폐업20170306<NA><NA><NA><NA><NA><NA>서울특별시 강남구 대치동 994-8번지 지하1층 1호, 2호서울특별시 강남구 영동대로 221 (대치동, 서림상가)6283점프게임장2017-03-06 16:09:29I2018-08-31 23:59:59.0<NA>205949.394263444056.742906청소년게임제공업유통관련업<NA>기타<NA>130.0<NA>1근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>주거지역
73220000CDFF224114200700000920071231<NA>3폐업3폐업20120626<NA><NA><NA><NA><NA><NA>서울특별시 강남구 신사동 661-7번지 지상2층서울특별시 강남구 압구정로54길 6 (신사동,지상2층)<NA>조이플라자2012-06-26 08:53:24I2018-08-31 23:59:59.0<NA>203422.59793447256.05873청소년게임제공업유통관련업<NA>기타<NA>148.522<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>주거지역
83220000CDFF224114200700001020071130<NA>3폐업3폐업20091210<NA><NA><NA>451-5161<NA><NA>서울특별시 강남구 일원동 673-4번지 지하1층서울특별시 강남구 양재대로35길 6 (일원동,지하1층)<NA>크레이지풀스방2009-12-10 16:47:21I2018-08-31 23:59:59.0<NA>207330.570832443103.471128청소년게임제공업유통관련업<NA>기타<NA>103.2<NA>1근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>청소년이용불가<NA><NA><NA>주거지역
93220000CDFF224114200800000120080603<NA>3폐업3폐업20131008<NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 813-16번지 지상3층서울특별시 강남구 봉은사로2길 37 (역삼동,지상3층)<NA>스크린플스2013-10-10 08:14:46I2018-08-31 23:59:59.0<NA>202281.871206444447.919009청소년게임제공업유통관련업<NA><NA><NA>0.03<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
893220000CDFF224114201700001020170529<NA>3폐업3폐업20180712<NA><NA><NA><NA><NA><NA>서울특별시 강남구 대치동 889-68번지서울특별시 강남구 선릉로86길 15, 103호 (대치동, 현대선릉 GOLD TOWER)6192토이크레인(선릉점)2018-07-12 18:31:11I2018-08-31 23:59:59.0<NA>204424.696602444593.605337청소년게임제공업유통관련업<NA><NA>퍼니랜드원(1), 티크레인(13), 티크레인원(1)39.9<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>15<NA>전체이용가<NA><NA><NA><NA>
903220000CDFF22411420170000112017-07-31<NA>3폐업3폐업2024-05-03<NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 149-8서울특별시 강남구 학동로18길 30, 상가2호 (논현동)6115뽑기114(뽑GO!뽑GO!)2024-05-03 17:14:50U2023-12-05 00:05:00.0<NA>202412.715265445419.770597<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
913220000CDFF224114201700001220170915<NA>3폐업3폐업20191004<NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 143번지서울특별시 강남구 강남대로 532, 지하1층 (논현동, 신성빌딩)6114팡팡게임장2019-10-28 15:31:22U2019-10-30 02:40:00.0<NA>201915.919299445260.710117청소년게임제공업유통관련업<NA><NA><NA>145.79<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>86<NA>전체이용가<NA><NA><NA><NA>
923220000CDFF224114201700001320171011<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 일원동 666-5서울특별시 강남구 일원로9길 32, 1층 1호 (일원동)6343SHOW ME THE 뽑기방2020-09-09 14:11:23U2020-09-11 02:40:00.0<NA>207384.855443094.38청소년게임제공업유통관련업<NA><NA>토이즈팝(14대),VSPHEONIX DUAL(1대)45.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>15<NA>전체이용가<NA><NA><NA><NA>
933220000CDFF224114201700001420171030<NA>3폐업3폐업20181127<NA><NA><NA><NA><NA><NA>서울특별시 강남구 대치동 959-1번지 타라빌딩서울특별시 강남구 삼성로 422, 1층 (대치동)6185스타뽑기샵2018-11-27 17:40:08U2018-11-29 02:40:00.0<NA>205066.713515444718.406583청소년게임제공업유통관련업<NA><NA><NA>39.6<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>12<NA>전체이용가<NA><NA><NA><NA>
943220000CDFF224114201800000120180307<NA>3폐업3폐업20180712<NA><NA><NA><NA><NA><NA>서울특별시 강남구 대치동 896-36번지서울특별시 강남구 선릉로86길 42, 3층 (대치동)6197대박게임랜드2018-07-12 18:30:30I2018-08-31 23:59:59.0<NA>204627.423539444635.785162청소년게임제공업유통관련업<NA><NA>용팔아3156.73<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>60<NA>전체이용가<NA><NA><NA><NA>
953220000CDFF224114201800000220180717<NA>3폐업3폐업20220831<NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 159 코엑스서울특별시 강남구 영동대로 513, 코엑스 지하2층 G202B호 (삼성동)6164펀시티(FunCity)2022-08-31 09:45:53U2021-12-09 00:02:00.0<NA>205130.591679445590.096838<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
963220000CDFF224114201800000320181207<NA>3폐업3폐업20181218<NA><NA><NA><NA><NA><NA>서울특별시 강남구 대치동 891-50번지 세왕빌딩서울특별시 강남구 테헤란로78길 14-15, 세왕빌딩 지하1층 (대치동)6194대명게임랜드2018-12-18 17:12:13U2018-12-20 02:40:00.0<NA>204738.982199444740.999059청소년게임제공업유통관련업<NA><NA>천년도깨비263.16<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>60<NA>전체이용가<NA><NA><NA><NA>
973220000CDFF224114202000000120200421<NA>3폐업3폐업20201126<NA><NA><NA>02-566-9936<NA><NA>서울특별시 강남구 역삼동 819서울특별시 강남구 강남대로94길 10, 지하1층 (역삼동)6134놀다가게 강남 k스퀘어점2020-11-26 11:10:09U2020-11-28 02:40:00.0<NA>202423.773139444111.046933청소년게임제공업유통관련업<NA><NA><NA>132.41<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>
983220000CDFF22411420210000012021-10-27<NA>1영업/정상13영업중<NA><NA><NA><NA>02-333-8334<NA><NA>서울특별시 강남구 역삼동 814-5서울특별시 강남구 강남대로 442, 흥국화재해상보험주식회사 강남사옥 B동 2층 (역삼동)6123짱 오락실2023-02-24 16:36:43U2022-12-01 22:06:00.0<NA>202248.726336444428.060435<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>