Overview

Dataset statistics

Number of variables56
Number of observations119
Missing cells3529
Missing cells (%)53.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory56.5 KiB
Average record size in memory486.1 B

Variable types

Categorical14
Text6
DateTime4
Numeric8
Unsupported24

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
Author노원구
URLhttps://data.seoul.go.kr/dataList/OA-16827/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
전화번호 has constant value ""Constant
소재지우편번호 is highly imbalanced (89.5%)Imbalance
문화체육업종명 is highly imbalanced (50.2%)Imbalance
문화사업자구분명 is highly imbalanced (50.2%)Imbalance
주변환경명 is highly imbalanced (59.7%)Imbalance
지하층수 is highly imbalanced (58.0%)Imbalance
지역구분명 is highly imbalanced (51.4%)Imbalance
인허가취소일자 has 102 (85.7%) missing valuesMissing
폐업일자 has 48 (40.3%) missing valuesMissing
휴업시작일자 has 119 (100.0%) missing valuesMissing
휴업종료일자 has 119 (100.0%) missing valuesMissing
재개업일자 has 119 (100.0%) missing valuesMissing
전화번호 has 118 (99.2%) missing valuesMissing
소재지면적 has 119 (100.0%) missing valuesMissing
도로명주소 has 10 (8.4%) missing valuesMissing
도로명우편번호 has 30 (25.2%) missing valuesMissing
업태구분명 has 119 (100.0%) missing valuesMissing
좌표정보(X) has 4 (3.4%) missing valuesMissing
좌표정보(Y) has 4 (3.4%) missing valuesMissing
총층수 has 102 (85.7%) missing valuesMissing
제작취급품목내용 has 71 (59.7%) missing valuesMissing
시설면적 has 13 (10.9%) missing valuesMissing
지상층수 has 100 (84.0%) missing valuesMissing
통로너비 has 119 (100.0%) missing valuesMissing
조명시설조도 has 119 (100.0%) missing valuesMissing
노래방실수 has 119 (100.0%) missing valuesMissing
청소년실수 has 119 (100.0%) missing valuesMissing
비상계단여부 has 119 (100.0%) missing valuesMissing
비상구여부 has 119 (100.0%) missing valuesMissing
자동환기여부 has 119 (100.0%) missing valuesMissing
청소년실여부 has 119 (100.0%) missing valuesMissing
특수조명여부 has 119 (100.0%) missing valuesMissing
방음시설여부 has 119 (100.0%) missing valuesMissing
비디오재생기명 has 119 (100.0%) missing valuesMissing
조명시설유무 has 119 (100.0%) missing valuesMissing
음향시설여부 has 119 (100.0%) missing valuesMissing
편의시설여부 has 119 (100.0%) missing valuesMissing
소방시설여부 has 119 (100.0%) missing valuesMissing
총게임기수 has 71 (59.7%) missing valuesMissing
기존게임업외업종명 has 119 (100.0%) missing valuesMissing
공연장형태구분명 has 119 (100.0%) missing valuesMissing
품목명 has 119 (100.0%) missing valuesMissing
최초등록시점 has 119 (100.0%) 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
조명시설조도 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 01:28:21.429090
Analysis finished2024-05-11 01:28:23.263204
Duration1.83 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
3100000
119 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3100000
2nd row3100000
3rd row3100000
4th row3100000
5th row3100000

Common Values

ValueCountFrequency (%)
3100000 119
100.0%

Length

2024-05-11T01:28:23.609225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:28:24.134350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3100000 119
100.0%

관리번호
Text

UNIQUE 

Distinct119
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T01:28:24.979940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2380
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

Unique119 ?
Unique (%)100.0%

Sample

1st rowCDFF2241142007000001
2nd rowCDFF2241142008000001
3rd rowCDFF2241142008000002
4th rowCDFF2241142008000003
5th rowCDFF2241142009000001
ValueCountFrequency (%)
cdff2241142007000001 1
 
0.8%
cdff2241142017000019 1
 
0.8%
cdff2241142017000016 1
 
0.8%
cdff2241142017000015 1
 
0.8%
cdff2241142017000014 1
 
0.8%
cdff2241142017000013 1
 
0.8%
cdff2241142017000012 1
 
0.8%
cdff2241142017000011 1
 
0.8%
cdff2241142017000010 1
 
0.8%
cdff2241142017000009 1
 
0.8%
Other values (109) 109
91.6%
2024-05-11T01:28:26.584534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 724
30.4%
2 394
16.6%
1 377
15.8%
4 253
 
10.6%
F 238
 
10.0%
C 119
 
5.0%
D 119
 
5.0%
7 34
 
1.4%
6 31
 
1.3%
9 28
 
1.2%
Other values (3) 63
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1904
80.0%
Uppercase Letter 476
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 724
38.0%
2 394
20.7%
1 377
19.8%
4 253
 
13.3%
7 34
 
1.8%
6 31
 
1.6%
9 28
 
1.5%
8 21
 
1.1%
3 21
 
1.1%
5 21
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
F 238
50.0%
C 119
25.0%
D 119
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1904
80.0%
Latin 476
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 724
38.0%
2 394
20.7%
1 377
19.8%
4 253
 
13.3%
7 34
 
1.8%
6 31
 
1.6%
9 28
 
1.5%
8 21
 
1.1%
3 21
 
1.1%
5 21
 
1.1%
Latin
ValueCountFrequency (%)
F 238
50.0%
C 119
25.0%
D 119
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2380
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 724
30.4%
2 394
16.6%
1 377
15.8%
4 253
 
10.6%
F 238
 
10.0%
C 119
 
5.0%
D 119
 
5.0%
7 34
 
1.4%
6 31
 
1.3%
9 28
 
1.2%
Other values (3) 63
 
2.6%

인허가일자
Date

Distinct110
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2007-12-31 00:00:00
Maximum2021-02-08 00:00:00
2024-05-11T01:28:27.210214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:28:27.931899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)94.1%
Missing102
Missing (%)85.7%
Infinite0
Infinite (%)0.0%
Mean20123042
Minimum20080623
Maximum20191129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T01:28:28.768124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080623
5-th percentile20088227
Q120090718
median20111201
Q320150119
95-th percentile20190948
Maximum20191129
Range110506
Interquartile range (IQR)59401

Descriptive statistics

Standard deviation38068.278
Coefficient of variation (CV)0.0018917755
Kurtosis-0.79627128
Mean20123042
Median Absolute Deviation (MAD)20487
Skewness0.7769249
Sum3.4209171 × 108
Variance1.4491938 × 109
MonotonicityNot monotonic
2024-05-11T01:28:29.392817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
20090128 2
 
1.7%
20090718 1
 
0.8%
20090714 1
 
0.8%
20090916 1
 
0.8%
20090830 1
 
0.8%
20110601 1
 
0.8%
20111201 1
 
0.8%
20080623 1
 
0.8%
20120828 1
 
0.8%
20131030 1
 
0.8%
Other values (6) 6
 
5.0%
(Missing) 102
85.7%
ValueCountFrequency (%)
20080623 1
0.8%
20090128 2
1.7%
20090714 1
0.8%
20090718 1
0.8%
20090830 1
0.8%
20090916 1
0.8%
20110601 1
0.8%
20111201 1
0.8%
20120524 1
0.8%
20120828 1
0.8%
ValueCountFrequency (%)
20191129 1
0.8%
20190903 1
0.8%
20180206 1
0.8%
20161115 1
0.8%
20150119 1
0.8%
20131030 1
0.8%
20120828 1
0.8%
20120524 1
0.8%
20111201 1
0.8%
20110601 1
0.8%

영업상태코드
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
3
69 
1
31 
4
19 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 69
58.0%
1 31
26.1%
4 19
 
16.0%

Length

2024-05-11T01:28:29.949779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:28:30.296292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 69
58.0%
1 31
26.1%
4 19
 
16.0%

영업상태명
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
폐업
69 
영업/정상
31 
취소/말소/만료/정지/중지
19 

Length

Max length14
Median length2
Mean length4.697479
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 69
58.0%
영업/정상 31
26.1%
취소/말소/만료/정지/중지 19
 
16.0%

Length

2024-05-11T01:28:30.784038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:28:31.251153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 69
58.0%
영업/정상 31
26.1%
취소/말소/만료/정지/중지 19
 
16.0%

상세영업상태코드
Categorical

Distinct4
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
3
69 
13
31 
31
17 
35
 
2

Length

Max length2
Median length1
Mean length1.4201681
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 69
58.0%
13 31
26.1%
31 17
 
14.3%
35 2
 
1.7%

Length

2024-05-11T01:28:31.746024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:28:32.178001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 69
58.0%
13 31
26.1%
31 17
 
14.3%
35 2
 
1.7%

상세영업상태명
Categorical

Distinct4
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
폐업
69 
영업중
31 
등록취소
17 
직권말소
 
2

Length

Max length4
Median length2
Mean length2.5798319
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 69
58.0%
영업중 31
26.1%
등록취소 17
 
14.3%
직권말소 2
 
1.7%

Length

2024-05-11T01:28:32.659108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:28:33.178355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 69
58.0%
영업중 31
26.1%
등록취소 17
 
14.3%
직권말소 2
 
1.7%

폐업일자
Date

MISSING 

Distinct68
Distinct (%)95.8%
Missing48
Missing (%)40.3%
Memory size1.1 KiB
Minimum2008-03-06 00:00:00
Maximum2024-03-15 00:00:00
2024-05-11T01:28:33.835293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:28:34.561844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

전화번호
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing118
Missing (%)99.2%
Memory size1.1 KiB
2024-05-11T01:28:35.130619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters11
Distinct characters9
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row02)943-9588
ValueCountFrequency (%)
02)943-9588 1
100.0%
2024-05-11T01:28:36.184854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 2
18.2%
8 2
18.2%
0 1
9.1%
2 1
9.1%
) 1
9.1%
4 1
9.1%
3 1
9.1%
- 1
9.1%
5 1
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9
81.8%
Close Punctuation 1
 
9.1%
Dash Punctuation 1
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 2
22.2%
8 2
22.2%
0 1
11.1%
2 1
11.1%
4 1
11.1%
3 1
11.1%
5 1
11.1%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 2
18.2%
8 2
18.2%
0 1
9.1%
2 1
9.1%
) 1
9.1%
4 1
9.1%
3 1
9.1%
- 1
9.1%
5 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 2
18.2%
8 2
18.2%
0 1
9.1%
2 1
9.1%
) 1
9.1%
4 1
9.1%
3 1
9.1%
- 1
9.1%
5 1
9.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

소재지우편번호
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
116 
139816
 
1
139841
 
1
139731
 
1

Length

Max length6
Median length4
Mean length4.0504202
Min length4

Unique

Unique3 ?
Unique (%)2.5%

Sample

1st row<NA>
2nd row139816
3rd row139841
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 116
97.5%
139816 1
 
0.8%
139841 1
 
0.8%
139731 1
 
0.8%

Length

2024-05-11T01:28:36.735577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:28:37.220560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 116
97.5%
139816 1
 
0.8%
139841 1
 
0.8%
139731 1
 
0.8%

지번주소
Text

Distinct112
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T01:28:38.049686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length33
Mean length26.428571
Min length19

Characters and Unicode

Total characters3145
Distinct characters93
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

Unique106 ?
Unique (%)89.1%

Sample

1st row서울특별시 노원구 상계동 714-3번지
2nd row서울특별시 노원구 상계동 341-7번지
3rd row서울특별시 노원구 월계동 46-2번지
4th row서울특별시 노원구 공릉동 576-24번지
5th row서울특별시 노원구 월계동 47-13번지 지하1층
ValueCountFrequency (%)
서울특별시 119
19.9%
노원구 119
19.9%
상계동 53
 
8.9%
월계동 39
 
6.5%
공릉동 23
 
3.8%
1층 17
 
2.8%
지하1층 15
 
2.5%
2층 8
 
1.3%
지층 7
 
1.2%
중계동 5
 
0.8%
Other values (149) 193
32.3%
2024-05-11T01:28:39.677330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
570
 
18.1%
1 183
 
5.8%
지 124
 
3.9%
동 122
 
3.9%
구 121
 
3.8%
서 119
 
3.8%
원 119
 
3.8%
울 119
 
3.8%
노 119
 
3.8%
시 119
 
3.8%
Other values (83) 1430
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1766
56.2%
Decimal Number 677
 
21.5%
Space Separator 570
 
18.1%
Dash Punctuation 112
 
3.6%
Open Punctuation 6
 
0.2%
Close Punctuation 6
 
0.2%
Other Punctuation 5
 
0.2%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 124
 
7.0%
동 122
 
6.9%
구 121
 
6.9%
서 119
 
6.7%
원 119
 
6.7%
울 119
 
6.7%
노 119
 
6.7%
시 119
 
6.7%
특 119
 
6.7%
별 119
 
6.7%
Other values (67) 566
32.0%
Decimal Number
ValueCountFrequency (%)
1 183
27.0%
4 83
12.3%
3 76
11.2%
2 67
 
9.9%
6 56
 
8.3%
5 49
 
7.2%
0 46
 
6.8%
9 43
 
6.4%
8 38
 
5.6%
7 36
 
5.3%
Space Separator
ValueCountFrequency (%)
570
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 112
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1766
56.2%
Common 1376
43.8%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 124
 
7.0%
동 122
 
6.9%
구 121
 
6.9%
서 119
 
6.7%
원 119
 
6.7%
울 119
 
6.7%
노 119
 
6.7%
시 119
 
6.7%
특 119
 
6.7%
별 119
 
6.7%
Other values (67) 566
32.0%
Common
ValueCountFrequency (%)
570
41.4%
1 183
 
13.3%
- 112
 
8.1%
4 83
 
6.0%
3 76
 
5.5%
2 67
 
4.9%
6 56
 
4.1%
5 49
 
3.6%
0 46
 
3.3%
9 43
 
3.1%
Other values (5) 91
 
6.6%
Latin
ValueCountFrequency (%)
B 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1766
56.2%
ASCII 1379
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
570
41.3%
1 183
 
13.3%
- 112
 
8.1%
4 83
 
6.0%
3 76
 
5.5%
2 67
 
4.9%
6 56
 
4.1%
5 49
 
3.6%
0 46
 
3.3%
9 43
 
3.1%
Other values (6) 94
 
6.8%
Hangul
ValueCountFrequency (%)
지 124
 
7.0%
동 122
 
6.9%
구 121
 
6.9%
서 119
 
6.7%
원 119
 
6.7%
울 119
 
6.7%
노 119
 
6.7%
시 119
 
6.7%
특 119
 
6.7%
별 119
 
6.7%
Other values (67) 566
32.0%

도로명주소
Text

MISSING 

Distinct106
Distinct (%)97.2%
Missing10
Missing (%)8.4%
Memory size1.1 KiB
2024-05-11T01:28:40.663455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38
Mean length31.220183
Min length22

Characters and Unicode

Total characters3403
Distinct characters118
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

Unique103 ?
Unique (%)94.5%

Sample

1st row서울특별시 노원구 상계로 90 (상계동)
2nd row서울특별시 노원구 화랑로 335-1 (월계동)
3rd row서울특별시 노원구 동일로 1027 (공릉동)
4th row서울특별시 노원구 석계로 14-1 (월계동,지하1층)
5th row서울특별시 노원구 상계로23길 4 (상계동,2층)
ValueCountFrequency (%)
서울특별시 109
 
16.0%
노원구 109
 
16.0%
상계동 40
 
5.9%
월계동 27
 
4.0%
1층 26
 
3.8%
공릉동 22
 
3.2%
상계로 18
 
2.6%
공릉로 15
 
2.2%
2층 9
 
1.3%
지층 8
 
1.2%
Other values (183) 297
43.7%
2024-05-11T01:28:42.222614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
590
 
17.3%
1 154
 
4.5%
계 137
 
4.0%
동 127
 
3.7%
, 124
 
3.6%
노 118
 
3.5%
원 113
 
3.3%
) 112
 
3.3%
( 112
 
3.3%
로 109
 
3.2%
Other values (108) 1707
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1947
57.2%
Space Separator 590
 
17.3%
Decimal Number 494
 
14.5%
Other Punctuation 124
 
3.6%
Close Punctuation 112
 
3.3%
Open Punctuation 112
 
3.3%
Dash Punctuation 21
 
0.6%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 137
 
7.0%
동 127
 
6.5%
노 118
 
6.1%
원 113
 
5.8%
로 109
 
5.6%
울 109
 
5.6%
서 109
 
5.6%
구 109
 
5.6%
시 109
 
5.6%
별 109
 
5.6%
Other values (92) 798
41.0%
Decimal Number
ValueCountFrequency (%)
1 154
31.2%
2 65
13.2%
3 56
 
11.3%
0 47
 
9.5%
5 44
 
8.9%
4 35
 
7.1%
9 33
 
6.7%
7 26
 
5.3%
6 18
 
3.6%
8 16
 
3.2%
Space Separator
ValueCountFrequency (%)
590
100.0%
Other Punctuation
ValueCountFrequency (%)
, 124
100.0%
Close Punctuation
ValueCountFrequency (%)
) 112
100.0%
Open Punctuation
ValueCountFrequency (%)
( 112
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1947
57.2%
Common 1453
42.7%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
계 137
 
7.0%
동 127
 
6.5%
노 118
 
6.1%
원 113
 
5.8%
로 109
 
5.6%
울 109
 
5.6%
서 109
 
5.6%
구 109
 
5.6%
시 109
 
5.6%
별 109
 
5.6%
Other values (92) 798
41.0%
Common
ValueCountFrequency (%)
590
40.6%
1 154
 
10.6%
, 124
 
8.5%
) 112
 
7.7%
( 112
 
7.7%
2 65
 
4.5%
3 56
 
3.9%
0 47
 
3.2%
5 44
 
3.0%
4 35
 
2.4%
Other values (5) 114
 
7.8%
Latin
ValueCountFrequency (%)
B 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1947
57.2%
ASCII 1456
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
590
40.5%
1 154
 
10.6%
, 124
 
8.5%
) 112
 
7.7%
( 112
 
7.7%
2 65
 
4.5%
3 56
 
3.8%
0 47
 
3.2%
5 44
 
3.0%
4 35
 
2.4%
Other values (6) 117
 
8.0%
Hangul
ValueCountFrequency (%)
계 137
 
7.0%
동 127
 
6.5%
노 118
 
6.1%
원 113
 
5.8%
로 109
 
5.6%
울 109
 
5.6%
서 109
 
5.6%
구 109
 
5.6%
시 109
 
5.6%
별 109
 
5.6%
Other values (92) 798
41.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)44.9%
Missing30
Missing (%)25.2%
Infinite0
Infinite (%)0.0%
Mean23463.281
Minimum1605
Maximum139841
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T01:28:42.726005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1605
5-th percentile1662
Q11693
median1836
Q31895
95-th percentile139815
Maximum139841
Range138236
Interquartile range (IQR)202

Descriptive statistics

Standard deviation50459.36
Coefficient of variation (CV)2.1505671
Kurtosis1.7048715
Mean23463.281
Median Absolute Deviation (MAD)141
Skewness1.9149388
Sum2088232
Variance2.546147 × 109
MonotonicityNot monotonic
2024-05-11T01:28:43.297072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1693 9
 
7.6%
1695 6
 
5.0%
1902 6
 
5.0%
1684 5
 
4.2%
1893 4
 
3.4%
1892 4
 
3.4%
1694 3
 
2.5%
1836 3
 
2.5%
1833 3
 
2.5%
1886 3
 
2.5%
Other values (30) 43
36.1%
(Missing) 30
25.2%
ValueCountFrequency (%)
1605 1
 
0.8%
1625 2
 
1.7%
1637 1
 
0.8%
1662 2
 
1.7%
1682 2
 
1.7%
1684 5
4.2%
1689 1
 
0.8%
1693 9
7.6%
1694 3
 
2.5%
1695 6
5.0%
ValueCountFrequency (%)
139841 2
1.7%
139832 1
0.8%
139827 1
0.8%
139815 2
1.7%
139810 2
1.7%
139808 1
0.8%
139242 1
0.8%
139241 1
0.8%
139202 2
1.7%
139051 1
0.8%

사업장명
Text

Distinct102
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T01:28:43.830548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length6
Min length2

Characters and Unicode

Total characters714
Distinct characters171
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)74.8%

Sample

1st row해피게임랜드
2nd row죠이스토리
3rd row골드에어 게임랜드
4th row공릉게임랜드
5th row석계역 게임랜드
ValueCountFrequency (%)
게임랜드 14
 
9.5%
로얄게임장 4
 
2.7%
골드게임랜드 4
 
2.7%
동아게임장 2
 
1.4%
중앙pc 2
 
1.4%
the 2
 
1.4%
뽑기 2
 
1.4%
인형뽑기 2
 
1.4%
오락실 2
 
1.4%
못된강아지 2
 
1.4%
Other values (101) 111
75.5%
2024-05-11T01:28:44.800952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 71
 
9.9%
임 71
 
9.9%
드 61
 
8.5%
랜 53
 
7.4%
28
 
3.9%
뽑 23
 
3.2%
인 17
 
2.4%
기 16
 
2.2%
장 14
 
2.0%
형 11
 
1.5%
Other values (161) 349
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 636
89.1%
Space Separator 28
 
3.9%
Lowercase Letter 24
 
3.4%
Uppercase Letter 23
 
3.2%
Decimal Number 1
 
0.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 71
 
11.2%
임 71
 
11.2%
드 61
 
9.6%
랜 53
 
8.3%
뽑 23
 
3.6%
인 17
 
2.7%
기 16
 
2.5%
장 14
 
2.2%
형 11
 
1.7%
아 9
 
1.4%
Other values (130) 290
45.6%
Lowercase Letter
ValueCountFrequency (%)
e 4
16.7%
n 3
12.5%
h 3
12.5%
o 3
12.5%
t 2
8.3%
g 1
 
4.2%
i 1
 
4.2%
d 1
 
4.2%
a 1
 
4.2%
r 1
 
4.2%
Other values (4) 4
16.7%
Uppercase Letter
ValueCountFrequency (%)
A 4
17.4%
G 3
13.0%
P 3
13.0%
T 2
8.7%
C 2
8.7%
O 2
8.7%
J 1
 
4.3%
M 1
 
4.3%
E 1
 
4.3%
R 1
 
4.3%
Other values (3) 3
13.0%
Space Separator
ValueCountFrequency (%)
28
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 636
89.1%
Latin 47
 
6.6%
Common 31
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 71
 
11.2%
임 71
 
11.2%
드 61
 
9.6%
랜 53
 
8.3%
뽑 23
 
3.6%
인 17
 
2.7%
기 16
 
2.5%
장 14
 
2.2%
형 11
 
1.7%
아 9
 
1.4%
Other values (130) 290
45.6%
Latin
ValueCountFrequency (%)
e 4
 
8.5%
A 4
 
8.5%
n 3
 
6.4%
h 3
 
6.4%
G 3
 
6.4%
o 3
 
6.4%
P 3
 
6.4%
t 2
 
4.3%
T 2
 
4.3%
C 2
 
4.3%
Other values (17) 18
38.3%
Common
ValueCountFrequency (%)
28
90.3%
2 1
 
3.2%
) 1
 
3.2%
( 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 632
88.5%
ASCII 78
 
10.9%
Compat Jamo 4
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 71
 
11.2%
임 71
 
11.2%
드 61
 
9.7%
랜 53
 
8.4%
뽑 23
 
3.6%
인 17
 
2.7%
기 16
 
2.5%
장 14
 
2.2%
형 11
 
1.7%
아 9
 
1.4%
Other values (127) 286
45.3%
ASCII
ValueCountFrequency (%)
28
35.9%
e 4
 
5.1%
A 4
 
5.1%
n 3
 
3.8%
h 3
 
3.8%
G 3
 
3.8%
o 3
 
3.8%
P 3
 
3.8%
t 2
 
2.6%
T 2
 
2.6%
Other values (21) 23
29.5%
Compat Jamo
ValueCountFrequency (%)
ㅋ 2
50.0%
ㄷ 1
25.0%
ㅇ 1
25.0%

최종수정일자
Date

UNIQUE 

Distinct119
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2008-04-28 09:51:29
Maximum2024-03-15 16:12:10
2024-05-11T01:28:45.238202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:28:45.902965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
I
74 
U
45 

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 74
62.2%
U 45
37.8%

Length

2024-05-11T01:28:46.364504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:28:46.650668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 74
62.2%
u 45
37.8%

데이터갱신일자
Date

Distinct39
Distinct (%)32.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-02 23:07:00
2024-05-11T01:28:47.010423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:28:47.439804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct81
Distinct (%)70.4%
Missing4
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean205869.8
Minimum204639.66
Maximum207262.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T01:28:47.866498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum204639.66
5-th percentile205137.58
Q1205381.02
median205633.57
Q3206442.35
95-th percentile206953.84
Maximum207262.33
Range2622.6736
Interquartile range (IQR)1061.3228

Descriptive statistics

Standard deviation645.36071
Coefficient of variation (CV)0.0031348003
Kurtosis-0.96139962
Mean205869.8
Median Absolute Deviation (MAD)382.65171
Skewness0.49850841
Sum23675027
Variance416490.45
MonotonicityNot monotonic
2024-05-11T01:28:48.305623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
206146.437779016 4
 
3.4%
205332.336693036 4
 
3.4%
206067.336181869 4
 
3.4%
205536.381644854 3
 
2.5%
205656.851247783 3
 
2.5%
205164.638884063 3
 
2.5%
205418.274134728 3
 
2.5%
205515.371565936 2
 
1.7%
205564.783984198 2
 
1.7%
205461.088399616 2
 
1.7%
Other values (71) 85
71.4%
(Missing) 4
 
3.4%
ValueCountFrequency (%)
204639.661195599 1
 
0.8%
204734.620704354 1
 
0.8%
204839.977931148 1
 
0.8%
204864.820533661 1
 
0.8%
205036.765287976 1
 
0.8%
205074.452590433 1
 
0.8%
205164.638884063 3
2.5%
205195.597003232 1
 
0.8%
205201.519621629 1
 
0.8%
205202.676902602 1
 
0.8%
ValueCountFrequency (%)
207262.334773143 1
0.8%
207111.945468592 1
0.8%
207059.599882728 1
0.8%
206999.227449309 1
0.8%
206969.040191338 1
0.8%
206967.545551181 1
0.8%
206947.962318643 1
0.8%
206943.0912467 2
1.7%
206904.985330225 1
0.8%
206892.43994162 1
0.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct81
Distinct (%)70.4%
Missing4
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean459584.27
Minimum456925.09
Maximum464003.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T01:28:48.673049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum456925.09
5-th percentile456996.66
Q1457727.73
median458340.35
Q3461589.23
95-th percentile463091.7
Maximum464003.78
Range7078.6888
Interquartile range (IQR)3861.4978

Descriptive statistics

Standard deviation2247.2697
Coefficient of variation (CV)0.0048897882
Kurtosis-1.5830767
Mean459584.27
Median Absolute Deviation (MAD)1350.2718
Skewness0.26047587
Sum52852191
Variance5050221.1
MonotonicityNot monotonic
2024-05-11T01:28:49.210663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
461858.094546849 4
 
3.4%
457838.088858124 4
 
3.4%
461791.876317908 4
 
3.4%
457026.303281574 3
 
2.5%
456990.07335337 3
 
2.5%
457785.012114018 3
 
2.5%
461589.225900283 3
 
2.5%
457205.957830975 2
 
1.7%
457078.810041553 2
 
1.7%
461568.430565386 2
 
1.7%
Other values (71) 85
71.4%
(Missing) 4
 
3.4%
ValueCountFrequency (%)
456925.093871139 2
1.7%
456990.07335337 3
2.5%
456996.048176249 1
 
0.8%
456996.92645734 2
1.7%
457025.976372498 1
 
0.8%
457026.303281574 3
2.5%
457046.293582128 1
 
0.8%
457051.258651363 1
 
0.8%
457078.810041553 2
1.7%
457094.84120156 1
 
0.8%
ValueCountFrequency (%)
464003.782684071 1
0.8%
463796.381217133 1
0.8%
463778.939359759 1
0.8%
463778.670794711 1
0.8%
463188.13074973 1
0.8%
463096.184583677 1
0.8%
463089.784688928 1
0.8%
463084.603318401 1
0.8%
462475.790536259 1
0.8%
462069.471751696 1
0.8%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
청소년게임제공업
106 
<NA>
13 

Length

Max length8
Median length8
Mean length7.5630252
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청소년게임제공업 106
89.1%
<NA> 13
 
10.9%

Length

2024-05-11T01:28:49.672899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:28:50.015181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청소년게임제공업 106
89.1%
na 13
 
10.9%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
유통관련업
106 
<NA>
13 

Length

Max length5
Median length5
Mean length4.8907563
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 106
89.1%
<NA> 13
 
10.9%

Length

2024-05-11T01:28:50.419377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:28:50.795681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 106
89.1%
na 13
 
10.9%

총층수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)35.3%
Missing102
Missing (%)85.7%
Infinite0
Infinite (%)0.0%
Mean5.5882353
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T01:28:51.086910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.6
Q14
median5
Q36
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.2377115
Coefficient of variation (CV)0.40043259
Kurtosis0.32915723
Mean5.5882353
Median Absolute Deviation (MAD)1
Skewness0.89232657
Sum95
Variance5.0073529
MonotonicityNot monotonic
2024-05-11T01:28:51.788249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 6
 
5.0%
6 5
 
4.2%
10 2
 
1.7%
5 2
 
1.7%
2 1
 
0.8%
9 1
 
0.8%
(Missing) 102
85.7%
ValueCountFrequency (%)
2 1
 
0.8%
4 6
5.0%
5 2
 
1.7%
6 5
4.2%
9 1
 
0.8%
10 2
 
1.7%
ValueCountFrequency (%)
10 2
 
1.7%
9 1
 
0.8%
6 5
4.2%
5 2
 
1.7%
4 6
5.0%
2 1
 
0.8%

주변환경명
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
100 
주택가주변
 
8
유흥업소밀집지역
 
4
기타
 
4
아파트지역
 
3

Length

Max length8
Median length4
Mean length4.1596639
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 100
84.0%
주택가주변 8
 
6.7%
유흥업소밀집지역 4
 
3.4%
기타 4
 
3.4%
아파트지역 3
 
2.5%

Length

2024-05-11T01:28:52.682874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:28:53.195075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 100
84.0%
주택가주변 8
 
6.7%
유흥업소밀집지역 4
 
3.4%
기타 4
 
3.4%
아파트지역 3
 
2.5%

제작취급품목내용
Text

MISSING 

Distinct46
Distinct (%)95.8%
Missing71
Missing (%)59.7%
Memory size1.1 KiB
2024-05-11T01:28:53.877422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length37
Mean length13.4375
Min length3

Characters and Unicode

Total characters645
Distinct characters160
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)91.7%

Sample

1st row전체이용가(AR-090422-004)
2nd row그랜드피싱(AR-081217-001)
3rd row빙하탐험(AR-090812-005)
4th rowCC-NA-090930-007
5th rowcc-na-100714-001(블루어비스)
ValueCountFrequency (%)
오션 4
 
4.5%
캐치 2
 
2.2%
씨 2
 
2.2%
2대 2
 
2.2%
코코짱 2
 
2.2%
30대 2
 
2.2%
ocean 2
 
2.2%
씨로켓 2
 
2.2%
special 1
 
1.1%
애로우 1
 
1.1%
Other values (69) 69
77.5%
2024-05-11T01:28:55.120685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 52
 
8.1%
41
 
6.4%
- 37
 
5.7%
1 28
 
4.3%
( 18
 
2.8%
C 18
 
2.8%
) 17
 
2.6%
2 15
 
2.3%
A 14
 
2.2%
3 11
 
1.7%
Other values (150) 394
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 241
37.4%
Decimal Number 145
22.5%
Uppercase Letter 82
 
12.7%
Lowercase Letter 52
 
8.1%
Space Separator 41
 
6.4%
Dash Punctuation 37
 
5.7%
Open Punctuation 20
 
3.1%
Close Punctuation 19
 
2.9%
Other Punctuation 7
 
1.1%
Letter Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
오 10
 
4.1%
스 9
 
3.7%
이 9
 
3.7%
션 9
 
3.7%
대 8
 
3.3%
아 8
 
3.3%
드 8
 
3.3%
씨 7
 
2.9%
호 6
 
2.5%
케 5
 
2.1%
Other values (99) 162
67.2%
Uppercase Letter
ValueCountFrequency (%)
C 18
22.0%
A 14
17.1%
N 11
13.4%
R 9
11.0%
E 5
 
6.1%
U 5
 
6.1%
I 3
 
3.7%
H 3
 
3.7%
O 2
 
2.4%
Z 2
 
2.4%
Other values (7) 10
12.2%
Lowercase Letter
ValueCountFrequency (%)
a 9
17.3%
n 8
15.4%
c 8
15.4%
e 6
11.5%
r 5
9.6%
o 3
 
5.8%
d 2
 
3.8%
g 2
 
3.8%
l 2
 
3.8%
p 1
 
1.9%
Other values (6) 6
11.5%
Decimal Number
ValueCountFrequency (%)
0 52
35.9%
1 28
19.3%
2 15
 
10.3%
3 11
 
7.6%
4 11
 
7.6%
9 8
 
5.5%
8 6
 
4.1%
7 6
 
4.1%
6 4
 
2.8%
5 4
 
2.8%
Open Punctuation
ValueCountFrequency (%)
( 18
90.0%
〔 2
 
10.0%
Close Punctuation
ValueCountFrequency (%)
) 17
89.5%
〕 2
 
10.5%
Space Separator
ValueCountFrequency (%)
41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 269
41.7%
Hangul 241
37.4%
Latin 135
20.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
오 10
 
4.1%
스 9
 
3.7%
이 9
 
3.7%
션 9
 
3.7%
대 8
 
3.3%
아 8
 
3.3%
드 8
 
3.3%
씨 7
 
2.9%
호 6
 
2.5%
케 5
 
2.1%
Other values (99) 162
67.2%
Latin
ValueCountFrequency (%)
C 18
13.3%
A 14
 
10.4%
N 11
 
8.1%
a 9
 
6.7%
R 9
 
6.7%
n 8
 
5.9%
c 8
 
5.9%
e 6
 
4.4%
r 5
 
3.7%
E 5
 
3.7%
Other values (24) 42
31.1%
Common
ValueCountFrequency (%)
0 52
19.3%
41
15.2%
- 37
13.8%
1 28
10.4%
( 18
 
6.7%
) 17
 
6.3%
2 15
 
5.6%
3 11
 
4.1%
4 11
 
4.1%
9 8
 
3.0%
Other values (7) 31
11.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 399
61.9%
Hangul 241
37.4%
None 4
 
0.6%
Number Forms 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 52
 
13.0%
41
 
10.3%
- 37
 
9.3%
1 28
 
7.0%
( 18
 
4.5%
C 18
 
4.5%
) 17
 
4.3%
2 15
 
3.8%
A 14
 
3.5%
3 11
 
2.8%
Other values (38) 148
37.1%
Hangul
ValueCountFrequency (%)
오 10
 
4.1%
스 9
 
3.7%
이 9
 
3.7%
션 9
 
3.7%
대 8
 
3.3%
아 8
 
3.3%
드 8
 
3.3%
씨 7
 
2.9%
호 6
 
2.5%
케 5
 
2.1%
Other values (99) 162
67.2%
None
ValueCountFrequency (%)
〔 2
50.0%
〕 2
50.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

시설면적
Real number (ℝ)

MISSING 

Distinct80
Distinct (%)75.5%
Missing13
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean112.35594
Minimum11.57
Maximum393.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T01:28:55.771022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11.57
5-th percentile25.5
Q150.2875
median110.775
Q3147.315
95-th percentile255.08
Maximum393.49
Range381.92
Interquartile range (IQR)97.0275

Descriptive statistics

Standard deviation69.569649
Coefficient of variation (CV)0.61918976
Kurtosis1.8207338
Mean112.35594
Median Absolute Deviation (MAD)43.985
Skewness1.0040626
Sum11909.73
Variance4839.9361
MonotonicityNot monotonic
2024-05-11T01:28:56.394639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
164.7 3
 
2.5%
158.7 3
 
2.5%
105.52 3
 
2.5%
128.66 3
 
2.5%
33.0 3
 
2.5%
33.12 2
 
1.7%
198.54 2
 
1.7%
123.28 2
 
1.7%
255.08 2
 
1.7%
153.97 2
 
1.7%
Other values (70) 81
68.1%
(Missing) 13
 
10.9%
ValueCountFrequency (%)
11.57 1
 
0.8%
16.0 1
 
0.8%
16.5 2
1.7%
20.0 1
 
0.8%
25.0 1
 
0.8%
27.0 1
 
0.8%
28.0 2
1.7%
29.0 1
 
0.8%
29.25 1
 
0.8%
33.0 3
2.5%
ValueCountFrequency (%)
393.49 1
 
0.8%
275.7 2
1.7%
260.65 1
 
0.8%
258.75 1
 
0.8%
255.08 2
1.7%
224.94 1
 
0.8%
223.8 2
1.7%
198.54 2
1.7%
179.54 1
 
0.8%
164.7 3
2.5%

지상층수
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)42.1%
Missing100
Missing (%)84.0%
Infinite0
Infinite (%)0.0%
Mean4.7894737
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T01:28:57.016039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q36
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.6578803
Coefficient of variation (CV)0.55494203
Kurtosis0.0078546647
Mean4.7894737
Median Absolute Deviation (MAD)2
Skewness0.70929679
Sum91
Variance7.0643275
MonotonicityNot monotonic
2024-05-11T01:28:57.335921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4 5
 
4.2%
6 4
 
3.4%
3 3
 
2.5%
10 2
 
1.7%
1 2
 
1.7%
9 1
 
0.8%
5 1
 
0.8%
2 1
 
0.8%
(Missing) 100
84.0%
ValueCountFrequency (%)
1 2
 
1.7%
2 1
 
0.8%
3 3
2.5%
4 5
4.2%
5 1
 
0.8%
6 4
3.4%
9 1
 
0.8%
10 2
 
1.7%
ValueCountFrequency (%)
10 2
 
1.7%
9 1
 
0.8%
6 4
3.4%
5 1
 
0.8%
4 5
4.2%
3 3
2.5%
2 1
 
0.8%
1 2
 
1.7%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
102 
1
15 
2
 
2

Length

Max length4
Median length4
Mean length3.5714286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 102
85.7%
1 15
 
12.6%
2 2
 
1.7%

Length

2024-05-11T01:28:57.891658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:28:58.213474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 102
85.7%
1 15
 
12.6%
2 2
 
1.7%

건물용도명
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
92 
근린생활시설
26 
사무실
 
1

Length

Max length6
Median length4
Mean length4.4285714
Min length3

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 92
77.3%
근린생활시설 26
 
21.8%
사무실 1
 
0.8%

Length

2024-05-11T01:28:58.804875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:28:59.449922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 92
77.3%
근린생활시설 26
 
21.8%
사무실 1
 
0.8%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

총게임기수
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)33.3%
Missing71
Missing (%)59.7%
Infinite0
Infinite (%)0.0%
Mean31.979167
Minimum5
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T01:28:59.982054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile6.35
Q111.75
median40
Q346.25
95-th percentile60
Maximum70
Range65
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation18.993268
Coefficient of variation (CV)0.5939263
Kurtosis-1.2119596
Mean31.979167
Median Absolute Deviation (MAD)13
Skewness0.056740038
Sum1535
Variance360.74424
MonotonicityNot monotonic
2024-05-11T01:29:00.567209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
40 15
 
12.6%
50 8
 
6.7%
11 4
 
3.4%
10 3
 
2.5%
15 3
 
2.5%
12 2
 
1.7%
6 2
 
1.7%
60 2
 
1.7%
70 2
 
1.7%
45 1
 
0.8%
Other values (6) 6
 
5.0%
(Missing) 71
59.7%
ValueCountFrequency (%)
5 1
 
0.8%
6 2
1.7%
7 1
 
0.8%
8 1
 
0.8%
10 3
2.5%
11 4
3.4%
12 2
1.7%
14 1
 
0.8%
15 3
2.5%
17 1
 
0.8%
ValueCountFrequency (%)
70 2
 
1.7%
60 2
 
1.7%
50 8
6.7%
45 1
 
0.8%
40 15
12.6%
24 1
 
0.8%
17 1
 
0.8%
15 3
 
2.5%
14 1
 
0.8%
12 2
 
1.7%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

제공게임물명
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
전체이용가
100 
<NA>
19 

Length

Max length5
Median length5
Mean length4.8403361
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전체이용가 100
84.0%
<NA> 19
 
16.0%

Length

2024-05-11T01:29:01.112273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:29:01.667242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체이용가 100
84.0%
na 19
 
16.0%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing119
Missing (%)100.0%
Memory size1.2 KiB

지역구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
91 
일반주거지역
12 
주거지역
 
7
일반상업지역
 
4
준주거지역
 
4

Length

Max length6
Median length4
Mean length4.302521
Min length4

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 91
76.5%
일반주거지역 12
 
10.1%
주거지역 7
 
5.9%
일반상업지역 4
 
3.4%
준주거지역 4
 
3.4%
상업지역 1
 
0.8%

Length

2024-05-11T01:29:02.384932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:29:03.109331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
76.5%
일반주거지역 12
 
10.1%
주거지역 7
 
5.9%
일반상업지역 4
 
3.4%
준주거지역 4
 
3.4%
상업지역 1
 
0.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03100000CDFF224114200700000120071231200901284취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 714-3번지<NA><NA>해피게임랜드2009-11-30 17:25:42I2018-08-31 23:59:59.0<NA><NA><NA>청소년게임제공업유통관련업<NA>아파트지역<NA>80.96<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역
13100000CDFF224114200800000120080109<NA>3폐업3폐업20080306<NA><NA><NA><NA><NA>139816서울특별시 노원구 상계동 341-7번지서울특별시 노원구 상계로 90 (상계동)<NA>죠이스토리2008-09-02 16:12:00I2018-08-31 23:59:59.0<NA>205633.573909461545.315938청소년게임제공업유통관련업<NA>아파트지역<NA>198.54<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
23100000CDFF224114200800000220080428200806234취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>139841서울특별시 노원구 월계동 46-2번지서울특별시 노원구 화랑로 335-1 (월계동)<NA>골드에어 게임랜드2008-04-28 09:51:29I2018-08-31 23:59:59.0<NA>205666.742757456996.926457청소년게임제공업유통관련업<NA>주택가주변<NA>102.6<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
33100000CDFF224114200800000320080826200901284취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 공릉동 576-24번지서울특별시 노원구 동일로 1027 (공릉동)<NA>공릉게임랜드2009-11-30 17:26:42I2018-08-31 23:59:59.0<NA>206453.197703457722.699588청소년게임제공업유통관련업<NA>주택가주변<NA>179.54<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
43100000CDFF224114200900000120090122200907184취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 월계동 47-13번지 지하1층<NA><NA>석계역 게임랜드2009-11-30 17:18:25I2018-08-31 23:59:59.0<NA>205656.851248456990.073353청소년게임제공업유통관련업<NA><NA><NA>98.9<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53100000CDFF224114200900000220090206200907144취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 월계동 64-12번지 지하1층서울특별시 노원구 석계로 14-1 (월계동,지하1층)<NA>대야게임랜드2009-11-30 17:20:22I2018-08-31 23:59:59.0<NA>205628.932455457094.841202청소년게임제공업유통관련업<NA><NA><NA>105.26<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63100000CDFF224114200900000320090319<NA>3폐업3폐업20090825<NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 173-1, 벽상상가 109동 지하1층<NA><NA>종합게임랜드2009-11-30 17:15:49I2018-08-31 23:59:59.0<NA><NA><NA>청소년게임제공업유통관련업<NA><NA><NA>95.31<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>
73100000CDFF224114200900000420090319<NA>3폐업3폐업20090522<NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 389-583번지 2층서울특별시 노원구 상계로23길 4 (상계동,2층)<NA>덕원 게임방2009-11-30 17:24:36I2018-08-31 23:59:59.0<NA>206045.938128461801.458836청소년게임제공업유통관련업2<NA><NA>140.8<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>
83100000CDFF224114200900000520090327<NA>3폐업3폐업20100526<NA><NA><NA><NA><NA>139731서울특별시 노원구 상계동 상계6구역40블럭18롯트 지하1층<NA><NA>상일 게임랜드2010-05-26 15:14:45I2018-08-31 23:59:59.0<NA><NA><NA>청소년게임제공업유통관련업<NA><NA><NA>121.92<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>
93100000CDFF224114200900000620090417<NA>3폐업3폐업20090929<NA><NA><NA><NA><NA><NA>서울특별시 노원구 월계동 411-53번지 지하1층 4호<NA><NA>성북게임랜드2009-11-30 17:28:32I2018-08-31 23:59:59.0<NA>205332.336693457838.088858청소년게임제공업유통관련업<NA><NA><NA>275.7<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>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
1093100000CDFF224114201900000620191224<NA>3폐업3폐업20200525<NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 65-28번지서울특별시 노원구 상계로 308, 1층 (상계동)1637만남오락실2020-05-25 17:46:42U2020-05-27 02:40:00.0<NA>206967.545551463096.184584청소년게임제공업유통관련업<NA><NA><NA>40.31<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>5<NA>전체이용가<NA><NA><NA><NA>
1103100000CDFF224114202000000120200218<NA>3폐업3폐업20210611<NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 707 유성빌딩서울특별시 노원구 노해로75길 14-17, 유성빌딩 2층 (상계동)1689골드게임랜드2021-06-11 09:40:15U2021-06-13 02:40:00.0<NA>205074.45259461368.878495청소년게임제공업유통관련업<NA><NA>ocean legend2(오션레전드2)〔CC-NA-120208-004호142.72<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>
1113100000CDFF22411420200000022020-03-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 공릉동 441-18서울특별시 노원구 공릉로 209 (공릉동)1833the 뽑기2024-01-29 16:18:00U2023-11-30 21:01:00.0<NA>206769.721196458418.948462<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1123100000CDFF224114202000000320200414<NA>3폐업3폐업20210830<NA><NA><NA><NA><NA><NA>서울특별시 노원구 공릉동 411-18서울특별시 노원구 공릉로 159 (공릉동)1836공릉놀이터2021-09-02 20:27:12U2021-09-04 02:40:00.0<NA>206947.962319457994.084718청소년게임제공업유통관련업<NA><NA>코코짱28.0<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>
1133100000CDFF224114202000000420200714<NA>3폐업3폐업20200916<NA><NA><NA><NA><NA><NA>서울특별시 노원구 월계동 379-17서울특별시 노원구 석계로18길 8, 1층 (월계동)1886뽑A뽑A2020-09-17 12:31:46U2020-09-19 02:40:00.0<NA>205285.838994457903.912037청소년게임제공업유통관련업<NA><NA>아케이드게임,29.25<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>8<NA>전체이용가<NA><NA><NA><NA>
1143100000CDFF22411420200000052020-07-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 월계동 383-21 국민은행서울특별시 노원구 광운로 61, 국민은행 1층 (월계동)1892뽑기왕2023-12-18 16:25:44U2022-11-01 22:00:00.0<NA>205201.519622457845.127154<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1153100000CDFF22411420200000062020-08-11<NA>3폐업3폐업2024-03-15<NA><NA><NA><NA><NA><NA>서울특별시 노원구 공릉동 336-3서울특별시 노원구 공릉로 133, 1층 (공릉동)1837에이스뽑짱2024-03-15 16:12:10U2023-12-02 23:07:00.0<NA>206904.98533457752.213666<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1163100000CDFF224114202000000720200917<NA>3폐업3폐업20210422<NA><NA><NA><NA><NA><NA>서울특별시 노원구 공릉동 345-3서울특별시 노원구 공릉로 153, 1동 2층 1호 (공릉동)1836럭키게임랜드2021-04-22 09:08:49U2021-04-24 02:40:00.0<NA>206943.091247457966.394826청소년게임제공업유통관련업<NA><NA>뉴 황금해저 30대, 오션 레전드2 30대158.02<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>
1173100000CDFF224114202000000820201126<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 공릉동 576-25 동흥빌딩서울특별시 노원구 동일로 1029, 동흥빌딩 (공릉동)1858비트연구소 T 청소년게임장2020-11-26 18:13:22I2020-11-28 00:23:08.0<NA>206449.174569457737.954897청소년게임제공업유통관련업<NA><NA>dancerush 2대 등258.75<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>24<NA>전체이용가<NA><NA><NA><NA>
1183100000CDFF224114202100000120210208<NA>3폐업3폐업20211025<NA><NA><NA><NA><NA><NA>서울특별시 노원구 월계동 391-1 지층서울특별시 노원구 광운로 53, 지층 (월계동)1892탑 게임랜드2021-10-26 14:17:54U2021-10-28 02:40:00.0<NA>205164.638884457785.012114청소년게임제공업유통관련업<NA><NA>HURRICANE(허리케인)164.7<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50<NA>전체이용가<NA><NA><NA><NA>