Overview

Dataset statistics

Number of variables56
Number of observations183
Missing cells5415
Missing cells (%)52.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory86.8 KiB
Average record size in memory485.7 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
Author금천구
URLhttps://data.seoul.go.kr/dataList/OA-16834/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지우편번호 is highly imbalanced (89.1%)Imbalance
주변환경명 is highly imbalanced (87.3%)Imbalance
지하층수 is highly imbalanced (52.3%)Imbalance
건물용도명 is highly imbalanced (67.5%)Imbalance
지역구분명 is highly imbalanced (61.4%)Imbalance
인허가취소일자 has 138 (75.4%) missing valuesMissing
폐업일자 has 71 (38.8%) missing valuesMissing
휴업시작일자 has 183 (100.0%) missing valuesMissing
휴업종료일자 has 183 (100.0%) missing valuesMissing
재개업일자 has 183 (100.0%) missing valuesMissing
전화번호 has 179 (97.8%) missing valuesMissing
소재지면적 has 183 (100.0%) missing valuesMissing
도로명주소 has 4 (2.2%) missing valuesMissing
도로명우편번호 has 101 (55.2%) missing valuesMissing
업태구분명 has 183 (100.0%) missing valuesMissing
총층수 has 121 (66.1%) missing valuesMissing
제작취급품목내용 has 132 (72.1%) missing valuesMissing
시설면적 has 21 (11.5%) missing valuesMissing
지상층수 has 123 (67.2%) missing valuesMissing
통로너비 has 183 (100.0%) missing valuesMissing
조명시설조도 has 183 (100.0%) missing valuesMissing
노래방실수 has 183 (100.0%) missing valuesMissing
청소년실수 has 183 (100.0%) missing valuesMissing
비상계단여부 has 183 (100.0%) missing valuesMissing
비상구여부 has 183 (100.0%) missing valuesMissing
자동환기여부 has 183 (100.0%) missing valuesMissing
청소년실여부 has 183 (100.0%) missing valuesMissing
특수조명여부 has 183 (100.0%) missing valuesMissing
방음시설여부 has 183 (100.0%) missing valuesMissing
비디오재생기명 has 183 (100.0%) missing valuesMissing
조명시설유무 has 183 (100.0%) missing valuesMissing
음향시설여부 has 183 (100.0%) missing valuesMissing
편의시설여부 has 183 (100.0%) missing valuesMissing
소방시설여부 has 183 (100.0%) missing valuesMissing
총게임기수 has 133 (72.7%) missing valuesMissing
기존게임업외업종명 has 183 (100.0%) missing valuesMissing
공연장형태구분명 has 183 (100.0%) missing valuesMissing
품목명 has 183 (100.0%) missing valuesMissing
최초등록시점 has 183 (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 started2024-04-29 19:10:00.536983
Analysis finished2024-04-29 19:10:01.565831
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
3170000
183 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3170000
2nd row3170000
3rd row3170000
4th row3170000
5th row3170000

Common Values

ValueCountFrequency (%)
3170000 183
100.0%

Length

2024-04-30T04:10:01.635880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:10:01.716847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3170000 183
100.0%

관리번호
Text

UNIQUE 

Distinct183
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-30T04:10:01.867342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3660
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

Unique183 ?
Unique (%)100.0%

Sample

1st rowCDFF2241142007000001
2nd rowCDFF2241142007000002
3rd rowCDFF2241142007000003
4th rowCDFF2241142008000001
5th rowCDFF2241142008000002
ValueCountFrequency (%)
cdff2241142007000001 1
 
0.5%
cdff2241142017000007 1
 
0.5%
cdff2241142015000005 1
 
0.5%
cdff2241142015000006 1
 
0.5%
cdff2241142015000007 1
 
0.5%
cdff2241142015000008 1
 
0.5%
cdff2241142016000001 1
 
0.5%
cdff2241142016000002 1
 
0.5%
cdff2241142016000003 1
 
0.5%
cdff2241142016000004 1
 
0.5%
Other values (173) 173
94.5%
2024-04-30T04:10:02.159098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1124
30.7%
2 613
16.7%
1 536
14.6%
4 404
 
11.0%
F 366
 
10.0%
C 183
 
5.0%
D 183
 
5.0%
9 70
 
1.9%
8 55
 
1.5%
7 40
 
1.1%
Other values (3) 86
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2928
80.0%
Uppercase Letter 732
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1124
38.4%
2 613
20.9%
1 536
18.3%
4 404
 
13.8%
9 70
 
2.4%
8 55
 
1.9%
7 40
 
1.4%
3 33
 
1.1%
6 28
 
1.0%
5 25
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
F 366
50.0%
C 183
25.0%
D 183
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2928
80.0%
Latin 732
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1124
38.4%
2 613
20.9%
1 536
18.3%
4 404
 
13.8%
9 70
 
2.4%
8 55
 
1.9%
7 40
 
1.4%
3 33
 
1.1%
6 28
 
1.0%
5 25
 
0.9%
Latin
ValueCountFrequency (%)
F 366
50.0%
C 183
25.0%
D 183
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3660
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1124
30.7%
2 613
16.7%
1 536
14.6%
4 404
 
11.0%
F 366
 
10.0%
C 183
 
5.0%
D 183
 
5.0%
9 70
 
1.9%
8 55
 
1.5%
7 40
 
1.1%
Other values (3) 86
 
2.3%

인허가일자
Date

Distinct168
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2007-11-22 00:00:00
Maximum2024-01-04 00:00:00
2024-04-30T04:10:02.282914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:10:02.456754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)84.4%
Missing138
Missing (%)75.4%
Infinite0
Infinite (%)0.0%
Mean20119166
Minimum20090601
Maximum20190520
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-30T04:10:02.575608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090601
5-th percentile20091043
Q120100222
median20100723
Q320140820
95-th percentile20188228
Maximum20190520
Range99919
Interquartile range (IQR)40598

Descriptive statistics

Standard deviation30744.768
Coefficient of variation (CV)0.0015281333
Kurtosis0.12134318
Mean20119166
Median Absolute Deviation (MAD)9607
Skewness1.1739925
Sum9.0536247 × 108
Variance9.4524075 × 108
MonotonicityNot monotonic
2024-04-30T04:10:02.686567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
20160225 2
 
1.1%
20100723 2
 
1.1%
20091026 2
 
1.1%
20100510 2
 
1.1%
20091201 2
 
1.1%
20100416 2
 
1.1%
20100222 2
 
1.1%
20190520 1
 
0.5%
20151105 1
 
0.5%
20180312 1
 
0.5%
Other values (28) 28
 
15.3%
(Missing) 138
75.4%
ValueCountFrequency (%)
20090601 1
0.5%
20091026 2
1.1%
20091109 1
0.5%
20091116 1
0.5%
20091201 2
1.1%
20091221 1
0.5%
20100111 1
0.5%
20100125 1
0.5%
20100222 2
1.1%
20100228 1
0.5%
ValueCountFrequency (%)
20190520 1
0.5%
20190328 1
0.5%
20190207 1
0.5%
20180312 1
0.5%
20170201 1
0.5%
20160225 2
1.1%
20151105 1
0.5%
20150325 1
0.5%
20150324 1
0.5%
20150103 1
0.5%

영업상태코드
Categorical

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
3
83 
4
74 
1
26 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row3
4th row1
5th row4

Common Values

ValueCountFrequency (%)
3 83
45.4%
4 74
40.4%
1 26
 
14.2%

Length

2024-04-30T04:10:02.801543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:10:02.883401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 83
45.4%
4 74
40.4%
1 26
 
14.2%

영업상태명
Categorical

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
폐업
83 
취소/말소/만료/정지/중지
74 
영업/정상
26 

Length

Max length14
Median length5
Mean length7.2786885
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 83
45.4%
취소/말소/만료/정지/중지 74
40.4%
영업/정상 26
 
14.2%

Length

2024-04-30T04:10:02.975963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:10:03.070676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 83
45.4%
취소/말소/만료/정지/중지 74
40.4%
영업/정상 26
 
14.2%

상세영업상태코드
Categorical

Distinct4
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
3
83 
31
45 
35
29 
13
26 

Length

Max length2
Median length2
Mean length1.5464481
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row35
2nd row35
3rd row3
4th row13
5th row35

Common Values

ValueCountFrequency (%)
3 83
45.4%
31 45
24.6%
35 29
 
15.8%
13 26
 
14.2%

Length

2024-04-30T04:10:03.162686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:10:03.251748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 83
45.4%
31 45
24.6%
35 29
 
15.8%
13 26
 
14.2%

상세영업상태명
Categorical

Distinct4
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
폐업
83 
등록취소
45 
직권말소
29 
영업중
26 

Length

Max length4
Median length3
Mean length2.9508197
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 83
45.4%
등록취소 45
24.6%
직권말소 29
 
15.8%
영업중 26
 
14.2%

Length

2024-04-30T04:10:03.354336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:10:03.476767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 83
45.4%
등록취소 45
24.6%
직권말소 29
 
15.8%
영업중 26
 
14.2%

폐업일자
Date

MISSING 

Distinct93
Distinct (%)83.0%
Missing71
Missing (%)38.8%
Memory size1.6 KiB
Minimum2008-09-23 00:00:00
Maximum2024-03-26 00:00:00
2024-04-30T04:10:03.594763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:10:03.735552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

전화번호
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing179
Missing (%)97.8%
Memory size1.6 KiB
2024-04-30T04:10:03.861866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.25
Min length8

Characters and Unicode

Total characters41
Distinct characters10
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st row808-3694
2nd row02-868-4472
3rd row02-861-8861
4th row02-866-3046
ValueCountFrequency (%)
808-3694 1
25.0%
02-868-4472 1
25.0%
02-861-8861 1
25.0%
02-866-3046 1
25.0%
2024-04-30T04:10:04.116915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 8
19.5%
- 7
17.1%
6 7
17.1%
0 5
12.2%
4 4
9.8%
2 4
9.8%
3 2
 
4.9%
1 2
 
4.9%
9 1
 
2.4%
7 1
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 34
82.9%
Dash Punctuation 7
 
17.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 8
23.5%
6 7
20.6%
0 5
14.7%
4 4
11.8%
2 4
11.8%
3 2
 
5.9%
1 2
 
5.9%
9 1
 
2.9%
7 1
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 41
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 8
19.5%
- 7
17.1%
6 7
17.1%
0 5
12.2%
4 4
9.8%
2 4
9.8%
3 2
 
4.9%
1 2
 
4.9%
9 1
 
2.4%
7 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 41
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 8
19.5%
- 7
17.1%
6 7
17.1%
0 5
12.2%
4 4
9.8%
2 4
9.8%
3 2
 
4.9%
1 2
 
4.9%
9 1
 
2.4%
7 1
 
2.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

소재지우편번호
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
177 
153858
 
2
153825
 
1
153857
 
1
153807
 
1

Length

Max length6
Median length4
Mean length4.0655738
Min length4

Unique

Unique4 ?
Unique (%)2.2%

Sample

1st row<NA>
2nd row<NA>
3rd row153858
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 177
96.7%
153858 2
 
1.1%
153825 1
 
0.5%
153857 1
 
0.5%
153807 1
 
0.5%
153839 1
 
0.5%

Length

2024-04-30T04:10:04.250428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:10:04.349092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 177
96.7%
153858 2
 
1.1%
153825 1
 
0.5%
153857 1
 
0.5%
153807 1
 
0.5%
153839 1
 
0.5%

지번주소
Text

Distinct163
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-30T04:10:04.595044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length35
Mean length28.153005
Min length18

Characters and Unicode

Total characters5152
Distinct characters77
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

Unique145 ?
Unique (%)79.2%

Sample

1st row서울특별시 금천구 독산동 974-25번지 지하1,지상1층
2nd row서울특별시 금천구 시흥동 994번지 2층 금연게임장호
3rd row서울특별시 금천구 시흥동 896번지 2층 (전체금연)
4th row서울특별시 금천구 독산동 291-5 시티렉스 603호(전체금연)
5th row서울특별시 금천구 독산동 974-22번지 1층(전체금연)
ValueCountFrequency (%)
서울특별시 183
20.1%
금천구 183
20.1%
독산동 96
 
10.5%
시흥동 66
 
7.3%
지하1층 26
 
2.9%
2층 24
 
2.6%
2층(전체금연 22
 
2.4%
가산동 21
 
2.3%
지하1층(전체금연 19
 
2.1%
지상1층 16
 
1.8%
Other values (164) 254
27.9%
2024-04-30T04:10:04.975988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
880
 
17.1%
1 278
 
5.4%
시 251
 
4.9%
금 244
 
4.7%
지 227
 
4.4%
동 186
 
3.6%
서 183
 
3.6%
구 183
 
3.6%
울 183
 
3.6%
특 183
 
3.6%
Other values (67) 2354
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2948
57.2%
Decimal Number 1025
 
19.9%
Space Separator 880
 
17.1%
Dash Punctuation 172
 
3.3%
Open Punctuation 60
 
1.2%
Close Punctuation 58
 
1.1%
Uppercase Letter 6
 
0.1%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 251
 
8.5%
금 244
 
8.3%
지 227
 
7.7%
동 186
 
6.3%
서 183
 
6.2%
구 183
 
6.2%
울 183
 
6.2%
특 183
 
6.2%
천 183
 
6.2%
별 183
 
6.2%
Other values (48) 942
32.0%
Decimal Number
ValueCountFrequency (%)
1 278
27.1%
2 150
14.6%
8 117
11.4%
9 110
 
10.7%
0 87
 
8.5%
3 64
 
6.2%
4 59
 
5.8%
6 57
 
5.6%
5 56
 
5.5%
7 47
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
A 3
50.0%
Y 1
 
16.7%
E 1
 
16.7%
X 1
 
16.7%
Space Separator
ValueCountFrequency (%)
880
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 172
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2948
57.2%
Common 2198
42.7%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 251
 
8.5%
금 244
 
8.3%
지 227
 
7.7%
동 186
 
6.3%
서 183
 
6.2%
구 183
 
6.2%
울 183
 
6.2%
특 183
 
6.2%
천 183
 
6.2%
별 183
 
6.2%
Other values (48) 942
32.0%
Common
ValueCountFrequency (%)
880
40.0%
1 278
 
12.6%
- 172
 
7.8%
2 150
 
6.8%
8 117
 
5.3%
9 110
 
5.0%
0 87
 
4.0%
3 64
 
2.9%
( 60
 
2.7%
4 59
 
2.7%
Other values (5) 221
 
10.1%
Latin
ValueCountFrequency (%)
A 3
50.0%
Y 1
 
16.7%
E 1
 
16.7%
X 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2948
57.2%
ASCII 2204
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
880
39.9%
1 278
 
12.6%
- 172
 
7.8%
2 150
 
6.8%
8 117
 
5.3%
9 110
 
5.0%
0 87
 
3.9%
3 64
 
2.9%
( 60
 
2.7%
4 59
 
2.7%
Other values (9) 227
 
10.3%
Hangul
ValueCountFrequency (%)
시 251
 
8.5%
금 244
 
8.3%
지 227
 
7.7%
동 186
 
6.3%
서 183
 
6.2%
구 183
 
6.2%
울 183
 
6.2%
특 183
 
6.2%
천 183
 
6.2%
별 183
 
6.2%
Other values (48) 942
32.0%

도로명주소
Text

MISSING 

Distinct160
Distinct (%)89.4%
Missing4
Missing (%)2.2%
Memory size1.6 KiB
2024-04-30T04:10:05.166505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length39
Mean length31.631285
Min length22

Characters and Unicode

Total characters5662
Distinct characters95
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

Unique143 ?
Unique (%)79.9%

Sample

1st row서울특별시 금천구 독산로 324 (독산동,지하1,지상1층)
2nd row서울특별시 금천구 시흥대로 233, 금연게임장호 (시흥동,2층)
3rd row서울특별시 금천구 독산로 53 (시흥동,2층 (전체금연))
4th row서울특별시 금천구 시흥대로 399 (독산동,시티렉스 603호(전체금연))
5th row서울특별시 금천구 독산로 320 (독산동,1층(전체금연))
ValueCountFrequency (%)
서울특별시 179
17.8%
금천구 179
17.8%
독산로 58
 
5.8%
독산동 39
 
3.9%
시흥동 34
 
3.4%
가산로 28
 
2.8%
시흥대로 18
 
1.8%
지상1층 17
 
1.7%
가산동 14
 
1.4%
독산동,2층(전체금연 14
 
1.4%
Other values (188) 428
42.5%
2024-04-30T04:10:05.492334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
925
 
16.3%
시 291
 
5.1%
금 249
 
4.4%
( 236
 
4.2%
) 234
 
4.1%
산 227
 
4.0%
1 208
 
3.7%
동 183
 
3.2%
, 180
 
3.2%
서 180
 
3.2%
Other values (85) 2749
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3301
58.3%
Space Separator 925
 
16.3%
Decimal Number 772
 
13.6%
Open Punctuation 236
 
4.2%
Close Punctuation 234
 
4.1%
Other Punctuation 180
 
3.2%
Dash Punctuation 8
 
0.1%
Uppercase Letter 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 291
 
8.8%
금 249
 
7.5%
산 227
 
6.9%
동 183
 
5.5%
서 180
 
5.5%
별 179
 
5.4%
울 179
 
5.4%
특 179
 
5.4%
구 179
 
5.4%
천 179
 
5.4%
Other values (66) 1276
38.7%
Decimal Number
ValueCountFrequency (%)
1 208
26.9%
2 144
18.7%
3 102
13.2%
5 73
 
9.5%
4 61
 
7.9%
6 52
 
6.7%
7 39
 
5.1%
0 34
 
4.4%
8 30
 
3.9%
9 29
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
A 3
50.0%
Y 1
 
16.7%
E 1
 
16.7%
X 1
 
16.7%
Space Separator
ValueCountFrequency (%)
925
100.0%
Open Punctuation
ValueCountFrequency (%)
( 236
100.0%
Close Punctuation
ValueCountFrequency (%)
) 234
100.0%
Other Punctuation
ValueCountFrequency (%)
, 180
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3301
58.3%
Common 2355
41.6%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 291
 
8.8%
금 249
 
7.5%
산 227
 
6.9%
동 183
 
5.5%
서 180
 
5.5%
별 179
 
5.4%
울 179
 
5.4%
특 179
 
5.4%
구 179
 
5.4%
천 179
 
5.4%
Other values (66) 1276
38.7%
Common
ValueCountFrequency (%)
925
39.3%
( 236
 
10.0%
) 234
 
9.9%
1 208
 
8.8%
, 180
 
7.6%
2 144
 
6.1%
3 102
 
4.3%
5 73
 
3.1%
4 61
 
2.6%
6 52
 
2.2%
Other values (5) 140
 
5.9%
Latin
ValueCountFrequency (%)
A 3
50.0%
Y 1
 
16.7%
E 1
 
16.7%
X 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3301
58.3%
ASCII 2361
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
925
39.2%
( 236
 
10.0%
) 234
 
9.9%
1 208
 
8.8%
, 180
 
7.6%
2 144
 
6.1%
3 102
 
4.3%
5 73
 
3.1%
4 61
 
2.6%
6 52
 
2.2%
Other values (9) 146
 
6.2%
Hangul
ValueCountFrequency (%)
시 291
 
8.8%
금 249
 
7.5%
산 227
 
6.9%
동 183
 
5.5%
서 180
 
5.5%
별 179
 
5.4%
울 179
 
5.4%
특 179
 
5.4%
구 179
 
5.4%
천 179
 
5.4%
Other values (66) 1276
38.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)51.2%
Missing101
Missing (%)55.2%
Infinite0
Infinite (%)0.0%
Mean28051.122
Minimum8504
Maximum153858
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-30T04:10:05.609141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8504
5-th percentile8512.45
Q18545.25
median8577.5
Q38631.5
95-th percentile153822.3
Maximum153858
Range145354
Interquartile range (IQR)86.25

Descriptive statistics

Standard deviation49781.701
Coefficient of variation (CV)1.7746777
Kurtosis2.8528449
Mean28051.122
Median Absolute Deviation (MAD)49.5
Skewness2.187193
Sum2300192
Variance2.4782177 × 109
MonotonicityNot monotonic
2024-04-30T04:10:05.718899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
8550 7
 
3.8%
8632 5
 
2.7%
8545 5
 
2.7%
8628 5
 
2.7%
8527 3
 
1.6%
8626 3
 
1.6%
8507 3
 
1.6%
8559 3
 
1.6%
8528 3
 
1.6%
8630 3
 
1.6%
Other values (32) 42
23.0%
(Missing) 101
55.2%
ValueCountFrequency (%)
8504 1
 
0.5%
8507 3
1.6%
8512 1
 
0.5%
8521 1
 
0.5%
8523 2
 
1.1%
8527 3
1.6%
8528 3
1.6%
8537 1
 
0.5%
8541 1
 
0.5%
8545 5
2.7%
ValueCountFrequency (%)
153858 2
1.1%
153841 1
0.5%
153831 1
0.5%
153823 1
0.5%
153809 1
0.5%
153808 2
1.1%
153801 2
1.1%
153031 1
0.5%
8657 2
1.1%
8643 1
0.5%

사업장명
Text

Distinct147
Distinct (%)80.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-30T04:10:05.958046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length5.2568306
Min length2

Characters and Unicode

Total characters962
Distinct characters190
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique122 ?
Unique (%)66.7%

Sample

1st row던전앤마블
2nd row개벽
3rd row오리날다(시흥점)
4th row게임랜드
5th row빙고크레인
ValueCountFrequency (%)
게임랜드 7
 
3.6%
시흥게임랜드 5
 
2.6%
골드게임장 3
 
1.5%
뽑기왕 3
 
1.5%
다뽑아방 3
 
1.5%
스타랜드 3
 
1.5%
타켓헌터 2
 
1.0%
게임장 2
 
1.0%
뽑go 2
 
1.0%
바다게임장 2
 
1.0%
Other values (145) 162
83.5%
2024-04-30T04:10:06.308641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 107
 
11.1%
임 107
 
11.1%
드 80
 
8.3%
랜 69
 
7.2%
장 40
 
4.2%
뽑 26
 
2.7%
스 21
 
2.2%
기 19
 
2.0%
이 16
 
1.7%
시 12
 
1.2%
Other values (180) 465
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 902
93.8%
Uppercase Letter 38
 
4.0%
Space Separator 11
 
1.1%
Open Punctuation 3
 
0.3%
Close Punctuation 3
 
0.3%
Decimal Number 3
 
0.3%
Lowercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 107
 
11.9%
임 107
 
11.9%
드 80
 
8.9%
랜 69
 
7.6%
장 40
 
4.4%
뽑 26
 
2.9%
스 21
 
2.3%
기 19
 
2.1%
이 16
 
1.8%
시 12
 
1.3%
Other values (156) 405
44.9%
Uppercase Letter
ValueCountFrequency (%)
O 5
13.2%
G 4
10.5%
W 3
 
7.9%
R 3
 
7.9%
A 3
 
7.9%
T 3
 
7.9%
E 3
 
7.9%
Z 2
 
5.3%
S 2
 
5.3%
N 2
 
5.3%
Other values (7) 8
21.1%
Decimal Number
ValueCountFrequency (%)
9 1
33.3%
4 1
33.3%
2 1
33.3%
Space Separator
ValueCountFrequency (%)
11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
o 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 902
93.8%
Latin 40
 
4.2%
Common 20
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 107
 
11.9%
임 107
 
11.9%
드 80
 
8.9%
랜 69
 
7.6%
장 40
 
4.4%
뽑 26
 
2.9%
스 21
 
2.3%
기 19
 
2.1%
이 16
 
1.8%
시 12
 
1.3%
Other values (156) 405
44.9%
Latin
ValueCountFrequency (%)
O 5
12.5%
G 4
 
10.0%
W 3
 
7.5%
R 3
 
7.5%
A 3
 
7.5%
T 3
 
7.5%
E 3
 
7.5%
Z 2
 
5.0%
S 2
 
5.0%
o 2
 
5.0%
Other values (8) 10
25.0%
Common
ValueCountFrequency (%)
11
55.0%
( 3
 
15.0%
) 3
 
15.0%
9 1
 
5.0%
4 1
 
5.0%
2 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 902
93.8%
ASCII 60
 
6.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 107
 
11.9%
임 107
 
11.9%
드 80
 
8.9%
랜 69
 
7.6%
장 40
 
4.4%
뽑 26
 
2.9%
스 21
 
2.3%
기 19
 
2.1%
이 16
 
1.8%
시 12
 
1.3%
Other values (156) 405
44.9%
ASCII
ValueCountFrequency (%)
11
18.3%
O 5
 
8.3%
G 4
 
6.7%
W 3
 
5.0%
( 3
 
5.0%
R 3
 
5.0%
A 3
 
5.0%
T 3
 
5.0%
) 3
 
5.0%
E 3
 
5.0%
Other values (14) 19
31.7%

최종수정일자
Date

UNIQUE 

Distinct183
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2008-09-23 16:54:29
Maximum2024-03-26 16:06:10
2024-04-30T04:10:06.445891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:10:06.739299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
I
136 
U
47 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI
2nd rowI
3rd rowI
4th rowU
5th rowI

Common Values

ValueCountFrequency (%)
I 136
74.3%
U 47
 
25.7%

Length

2024-04-30T04:10:06.838660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:10:06.925325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 136
74.3%
u 47
 
25.7%

데이터갱신일자
Date

Distinct41
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:02:00
2024-04-30T04:10:07.007704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:10:07.115733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

좌표정보(X)
Real number (ℝ)

Distinct126
Distinct (%)68.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean191175.07
Minimum189055.14
Maximum192172.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-30T04:10:07.233121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189055.14
5-th percentile190257.18
Q1191014.85
median191292.12
Q3191420.99
95-th percentile191663.7
Maximum192172.15
Range3117.0142
Interquartile range (IQR)406.14093

Descriptive statistics

Standard deviation463.08546
Coefficient of variation (CV)0.0024223109
Kurtosis3.9286493
Mean191175.07
Median Absolute Deviation (MAD)143.04964
Skewness-1.6240034
Sum34985038
Variance214448.15
MonotonicityNot monotonic
2024-04-30T04:10:07.349979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
191014.853430933 7
 
3.8%
191433.76701516 6
 
3.3%
191596.704923688 4
 
2.2%
191013.682027481 4
 
2.2%
191377.897673621 4
 
2.2%
191663.700517985 3
 
1.6%
191292.124886577 3
 
1.6%
191181.094057692 3
 
1.6%
191334.316393386 3
 
1.6%
191203.246076285 3
 
1.6%
Other values (116) 143
78.1%
ValueCountFrequency (%)
189055.138252216 1
 
0.5%
189538.020935968 3
1.6%
190117.09066704 1
 
0.5%
190191.104497812 1
 
0.5%
190205.480763603 1
 
0.5%
190230.760942582 1
 
0.5%
190244.555277324 1
 
0.5%
190257.18310023 3
1.6%
190278.765566019 1
 
0.5%
190285.33392668 1
 
0.5%
ValueCountFrequency (%)
192172.152436247 1
 
0.5%
192047.252504926 1
 
0.5%
192015.491677364 1
 
0.5%
191911.448935236 2
1.1%
191853.267992546 1
 
0.5%
191844.83842796 1
 
0.5%
191793.549910441 1
 
0.5%
191663.700517985 3
1.6%
191627.170533675 1
 
0.5%
191620.692230259 1
 
0.5%

좌표정보(Y)
Real number (ℝ)

Distinct126
Distinct (%)68.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean440445.51
Minimum437799.81
Maximum442043.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-30T04:10:07.471585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum437799.81
5-th percentile438799.62
Q1439138.92
median440808.54
Q3441536.41
95-th percentile441875.1
Maximum442043.88
Range4244.0691
Interquartile range (IQR)2397.4858

Descriptive statistics

Standard deviation1154.9819
Coefficient of variation (CV)0.0026223037
Kurtosis-1.3346953
Mean440445.51
Median Absolute Deviation (MAD)940.44286
Skewness-0.33592871
Sum80601528
Variance1333983.2
MonotonicityNot monotonic
2024-04-30T04:10:07.588344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
441046.279707591 7
 
3.8%
441693.522987943 6
 
3.3%
438876.10709557 4
 
2.2%
441003.614307903 4
 
2.2%
441582.994710403 4
 
2.2%
438852.169488811 3
 
1.6%
438947.100689155 3
 
1.6%
439253.985876013 3
 
1.6%
438828.260662611 3
 
1.6%
439087.640568427 3
 
1.6%
Other values (116) 143
78.1%
ValueCountFrequency (%)
437799.809089881 1
0.5%
437837.013452791 1
0.5%
438652.881694606 1
0.5%
438703.779674733 1
0.5%
438724.255883654 1
0.5%
438727.034928282 1
0.5%
438767.914302328 1
0.5%
438768.49913036 1
0.5%
438781.498511524 1
0.5%
438799.454576144 1
0.5%
ValueCountFrequency (%)
442043.878227727 2
1.1%
441982.427934953 3
1.6%
441958.334400683 1
 
0.5%
441916.081648538 1
 
0.5%
441911.395258767 1
 
0.5%
441882.752992807 1
 
0.5%
441876.616243071 1
 
0.5%
441861.4629578 1
 
0.5%
441855.395697531 1
 
0.5%
441854.192186172 3
1.6%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
청소년게임제공업
162 
<NA>
21 

Length

Max length8
Median length8
Mean length7.5409836
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청소년게임제공업 162
88.5%
<NA> 21
 
11.5%

Length

2024-04-30T04:10:07.725933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:10:07.814239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청소년게임제공업 162
88.5%
na 21
 
11.5%

문화사업자구분명
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
유통관련업
162 
<NA>
21 

Length

Max length5
Median length5
Mean length4.8852459
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 162
88.5%
<NA> 21
 
11.5%

Length

2024-04-30T04:10:07.912343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:10:08.004930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 162
88.5%
na 21
 
11.5%

총층수
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)12.9%
Missing121
Missing (%)66.1%
Infinite0
Infinite (%)0.0%
Mean4.5806452
Minimum1
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-30T04:10:08.074672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile7.9
Maximum34
Range33
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.0913679
Coefficient of variation (CV)0.89318595
Kurtosis45.280545
Mean4.5806452
Median Absolute Deviation (MAD)1
Skewness6.2665565
Sum284
Variance16.739291
MonotonicityNot monotonic
2024-04-30T04:10:08.176979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4 18
 
9.8%
3 14
 
7.7%
5 13
 
7.1%
6 6
 
3.3%
2 4
 
2.2%
1 3
 
1.6%
8 3
 
1.6%
34 1
 
0.5%
(Missing) 121
66.1%
ValueCountFrequency (%)
1 3
 
1.6%
2 4
 
2.2%
3 14
7.7%
4 18
9.8%
5 13
7.1%
6 6
 
3.3%
8 3
 
1.6%
34 1
 
0.5%
ValueCountFrequency (%)
34 1
 
0.5%
8 3
 
1.6%
6 6
 
3.3%
5 13
7.1%
4 18
9.8%
3 14
7.7%
2 4
 
2.2%
1 3
 
1.6%

주변환경명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
178 
기타
 
4
유흥업소밀집지역
 
1

Length

Max length8
Median length4
Mean length3.9781421
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 178
97.3%
기타 4
 
2.2%
유흥업소밀집지역 1
 
0.5%

Length

2024-04-30T04:10:08.316427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:10:08.497999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 178
97.3%
기타 4
 
2.2%
유흥업소밀집지역 1
 
0.5%

제작취급품목내용
Text

MISSING 

Distinct38
Distinct (%)74.5%
Missing132
Missing (%)72.1%
Memory size1.6 KiB
2024-04-30T04:10:08.749067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length8.4901961
Min length2

Characters and Unicode

Total characters433
Distinct characters119
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

Unique33 ?
Unique (%)64.7%

Sample

1st row코코아(40대)
2nd row우미
3rd row게임제공업
4th row오리지널오션
5th row게임물
ValueCountFrequency (%)
크레인게임기 10
 
12.7%
아케이드게임물 4
 
5.1%
아케이드게임 4
 
5.1%
크레인게임기(인형뽑기 3
 
3.8%
40대 3
 
3.8%
7대 2
 
2.5%
등 2
 
2.5%
red-spin 1
 
1.3%
전설의 1
 
1.3%
펀치기계 1
 
1.3%
Other values (48) 48
60.8%
2024-04-30T04:10:09.041203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28
 
6.5%
게 27
 
6.2%
임 27
 
6.2%
인 22
 
5.1%
기 22
 
5.1%
레 17
 
3.9%
대 16
 
3.7%
크 15
 
3.5%
드 15
 
3.5%
0 13
 
3.0%
Other values (109) 231
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 325
75.1%
Decimal Number 42
 
9.7%
Space Separator 28
 
6.5%
Lowercase Letter 11
 
2.5%
Open Punctuation 9
 
2.1%
Close Punctuation 9
 
2.1%
Other Punctuation 5
 
1.2%
Dash Punctuation 4
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 27
 
8.3%
임 27
 
8.3%
인 22
 
6.8%
기 22
 
6.8%
레 17
 
5.2%
대 16
 
4.9%
크 15
 
4.6%
드 15
 
4.6%
이 12
 
3.7%
아 11
 
3.4%
Other values (85) 141
43.4%
Decimal Number
ValueCountFrequency (%)
0 13
31.0%
4 6
14.3%
1 5
 
11.9%
2 4
 
9.5%
5 4
 
9.5%
9 4
 
9.5%
7 3
 
7.1%
6 2
 
4.8%
3 1
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
c 2
18.2%
n 2
18.2%
e 1
9.1%
r 1
9.1%
s 1
9.1%
d 1
9.1%
i 1
9.1%
p 1
9.1%
a 1
9.1%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
: 1
 
20.0%
Space Separator
ValueCountFrequency (%)
28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 325
75.1%
Common 97
 
22.4%
Latin 11
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 27
 
8.3%
임 27
 
8.3%
인 22
 
6.8%
기 22
 
6.8%
레 17
 
5.2%
대 16
 
4.9%
크 15
 
4.6%
드 15
 
4.6%
이 12
 
3.7%
아 11
 
3.4%
Other values (85) 141
43.4%
Common
ValueCountFrequency (%)
28
28.9%
0 13
13.4%
( 9
 
9.3%
) 9
 
9.3%
4 6
 
6.2%
1 5
 
5.2%
2 4
 
4.1%
5 4
 
4.1%
9 4
 
4.1%
, 4
 
4.1%
Other values (5) 11
 
11.3%
Latin
ValueCountFrequency (%)
c 2
18.2%
n 2
18.2%
e 1
9.1%
r 1
9.1%
s 1
9.1%
d 1
9.1%
i 1
9.1%
p 1
9.1%
a 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 325
75.1%
ASCII 108
 
24.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28
25.9%
0 13
12.0%
( 9
 
8.3%
) 9
 
8.3%
4 6
 
5.6%
1 5
 
4.6%
2 4
 
3.7%
5 4
 
3.7%
9 4
 
3.7%
, 4
 
3.7%
Other values (14) 22
20.4%
Hangul
ValueCountFrequency (%)
게 27
 
8.3%
임 27
 
8.3%
인 22
 
6.8%
기 22
 
6.8%
레 17
 
5.2%
대 16
 
4.9%
크 15
 
4.6%
드 15
 
4.6%
이 12
 
3.7%
아 11
 
3.4%
Other values (85) 141
43.4%

시설면적
Real number (ℝ)

MISSING 

Distinct119
Distinct (%)73.5%
Missing21
Missing (%)11.5%
Infinite0
Infinite (%)0.0%
Mean148.94136
Minimum12
Maximum5175
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-30T04:10:09.169791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile26.0605
Q192.0675
median115.245
Q3147.8475
95-th percentile211.68
Maximum5175
Range5163
Interquartile range (IQR)55.78

Descriptive statistics

Standard deviation400.80874
Coefficient of variation (CV)2.6910507
Kurtosis156.35688
Mean148.94136
Median Absolute Deviation (MAD)28.4
Skewness12.396429
Sum24128.5
Variance160647.65
MonotonicityNot monotonic
2024-04-30T04:10:09.292225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
131.57 7
 
3.8%
98.18 5
 
2.7%
105.79 4
 
2.2%
160.0 4
 
2.2%
143.8 3
 
1.6%
141.78 3
 
1.6%
211.68 3
 
1.6%
180.84 3
 
1.6%
97.52 3
 
1.6%
256.53 2
 
1.1%
Other values (109) 125
68.3%
(Missing) 21
 
11.5%
ValueCountFrequency (%)
12.0 1
0.5%
15.0 1
0.5%
16.0 1
0.5%
16.5 1
0.5%
20.0 1
0.5%
23.43 1
0.5%
24.0 1
0.5%
24.46 1
0.5%
26.04 1
0.5%
26.45 1
0.5%
ValueCountFrequency (%)
5175.0 1
 
0.5%
289.8 1
 
0.5%
256.53 2
1.1%
225.59 1
 
0.5%
220.17 1
 
0.5%
214.93 1
 
0.5%
211.68 3
1.6%
209.28 1
 
0.5%
197.71 1
 
0.5%
195.0 1
 
0.5%

지상층수
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)13.3%
Missing123
Missing (%)67.2%
Infinite0
Infinite (%)0.0%
Mean3.6
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-30T04:10:09.390268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6.05
Maximum30
Range29
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.7380317
Coefficient of variation (CV)1.0383422
Kurtosis43.592525
Mean3.6
Median Absolute Deviation (MAD)1
Skewness6.1563142
Sum216
Variance13.972881
MonotonicityNot monotonic
2024-04-30T04:10:09.472660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 16
 
8.7%
2 15
 
8.2%
4 13
 
7.1%
5 6
 
3.3%
1 6
 
3.3%
7 2
 
1.1%
6 1
 
0.5%
30 1
 
0.5%
(Missing) 123
67.2%
ValueCountFrequency (%)
1 6
 
3.3%
2 15
8.2%
3 16
8.7%
4 13
7.1%
5 6
 
3.3%
6 1
 
0.5%
7 2
 
1.1%
30 1
 
0.5%
ValueCountFrequency (%)
30 1
 
0.5%
7 2
 
1.1%
6 1
 
0.5%
5 6
 
3.3%
4 13
7.1%
3 16
8.7%
2 15
8.2%
1 6
 
3.3%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
129 
1
52 
2
 
1
4
 
1

Length

Max length4
Median length4
Mean length3.1147541
Min length1

Unique

Unique2 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 129
70.5%
1 52
28.4%
2 1
 
0.5%
4 1
 
0.5%

Length

2024-04-30T04:10:09.576203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:10:09.687000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 129
70.5%
1 52
28.4%
2 1
 
0.5%
4 1
 
0.5%

건물용도명
Categorical

IMBALANCE 

Distinct7
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
151 
근린생활시설
23 
판매시설
 
5
문화시설
 
1
유기장
 
1
Other values (2)
 
2

Length

Max length6
Median length4
Mean length4.2459016
Min length2

Unique

Unique4 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 151
82.5%
근린생활시설 23
 
12.6%
판매시설 5
 
2.7%
문화시설 1
 
0.5%
유기장 1
 
0.5%
기타 1
 
0.5%
식품위생시설 1
 
0.5%

Length

2024-04-30T04:10:09.810350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:10:09.922878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 151
82.5%
근린생활시설 23
 
12.6%
판매시설 5
 
2.7%
문화시설 1
 
0.5%
유기장 1
 
0.5%
기타 1
 
0.5%
식품위생시설 1
 
0.5%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

총게임기수
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)32.0%
Missing133
Missing (%)72.7%
Infinite0
Infinite (%)0.0%
Mean30.36
Minimum3
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-30T04:10:10.023555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile6
Q110
median40
Q340
95-th percentile55.5
Maximum60
Range57
Interquartile range (IQR)30

Descriptive statistics

Standard deviation17.538017
Coefficient of variation (CV)0.57766854
Kurtosis-1.3403639
Mean30.36
Median Absolute Deviation (MAD)10
Skewness-0.26684197
Sum1518
Variance307.58204
MonotonicityNot monotonic
2024-04-30T04:10:10.106134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
40 21
 
11.5%
10 5
 
2.7%
50 4
 
2.2%
7 3
 
1.6%
9 3
 
1.6%
60 3
 
1.6%
6 2
 
1.1%
8 1
 
0.5%
30 1
 
0.5%
36 1
 
0.5%
Other values (6) 6
 
3.3%
(Missing) 133
72.7%
ValueCountFrequency (%)
3 1
 
0.5%
5 1
 
0.5%
6 2
 
1.1%
7 3
1.6%
8 1
 
0.5%
9 3
1.6%
10 5
2.7%
11 1
 
0.5%
16 1
 
0.5%
30 1
 
0.5%
ValueCountFrequency (%)
60 3
 
1.6%
50 4
 
2.2%
41 1
 
0.5%
40 21
11.5%
38 1
 
0.5%
36 1
 
0.5%
30 1
 
0.5%
16 1
 
0.5%
11 1
 
0.5%
10 5
 
2.7%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

제공게임물명
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
전체이용가
158 
<NA>
25 

Length

Max length5
Median length5
Mean length4.863388
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전체이용가 158
86.3%
<NA> 25
 
13.7%

Length

2024-04-30T04:10:10.206568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:10:10.290388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체이용가 158
86.3%
na 25
 
13.7%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing183
Missing (%)100.0%
Memory size1.7 KiB

지역구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
148 
일반주거지역
18 
준주거지역
 
6
일반상업지역
 
6
준공업지역
 
2
Other values (2)
 
3

Length

Max length6
Median length4
Mean length4.3169399
Min length4

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 148
80.9%
일반주거지역 18
 
9.8%
준주거지역 6
 
3.3%
일반상업지역 6
 
3.3%
준공업지역 2
 
1.1%
상업지역 2
 
1.1%
근린상업지역 1
 
0.5%

Length

2024-04-30T04:10:10.390615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:10:10.493582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 148
80.9%
일반주거지역 18
 
9.8%
준주거지역 6
 
3.3%
일반상업지역 6
 
3.3%
준공업지역 2
 
1.1%
상업지역 2
 
1.1%
근린상업지역 1
 
0.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03170000CDFF224114200700000120071122<NA>4취소/말소/만료/정지/중지35직권말소20100423<NA><NA><NA><NA><NA><NA>서울특별시 금천구 독산동 974-25번지 지하1,지상1층서울특별시 금천구 독산로 324 (독산동,지하1,지상1층)<NA>던전앤마블2010-04-20 10:36:57I2018-08-31 23:59:59.0<NA>191419.12175441496.744882청소년게임제공업유통관련업5기타<NA>289.841근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>준주거지역
13170000CDFF224114200700000220071128<NA>4취소/말소/만료/정지/중지35직권말소20100531<NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 994번지 2층 금연게임장호서울특별시 금천구 시흥대로 233, 금연게임장호 (시흥동,2층)<NA>개벽2010-06-16 10:46:19I2018-08-31 23:59:59.0<NA>191102.436335439142.836512청소년게임제공업유통관련업3유흥업소밀집지역<NA>149.021근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50<NA>전체이용가<NA><NA><NA>일반상업지역
23170000CDFF224114200700000320071203<NA>3폐업3폐업20081029<NA><NA><NA><NA><NA>153858서울특별시 금천구 시흥동 896번지 2층 (전체금연)서울특별시 금천구 독산로 53 (시흥동,2층 (전체금연))<NA>오리날다(시흥점)2009-03-19 11:16:42I2018-08-31 23:59:59.0<NA>191596.704924438876.107096청소년게임제공업유통관련업3<NA><NA>105.7921<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
33170000CDFF224114200800000120080102<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 독산동 291-5 시티렉스 603호(전체금연)서울특별시 금천구 시흥대로 399 (독산동,시티렉스 603호(전체금연))<NA>게임랜드2021-04-19 14:24:14U2021-04-21 02:40:00.0<NA>190858.649482440808.541335청소년게임제공업유통관련업<NA><NA><NA>112.5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>38<NA>전체이용가<NA><NA><NA><NA>
43170000CDFF224114200800000220080121<NA>4취소/말소/만료/정지/중지35직권말소20100423<NA><NA><NA><NA><NA><NA>서울특별시 금천구 독산동 974-22번지 1층(전체금연)서울특별시 금천구 독산로 320 (독산동,1층(전체금연))<NA>빙고크레인2010-04-20 10:35:45I2018-08-31 23:59:59.0<NA>191416.324903441458.534353청소년게임제공업유통관련업6<NA><NA>132.1251<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
53170000CDFF224114200800000320080502<NA>4취소/말소/만료/정지/중지35직권말소20100524<NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 883-8번지 1층(전체금연)서울특별시 금천구 시흥대로 226 (시흥동,1층(전체금연))<NA>몽키블럭2010-05-17 17:26:29I2018-08-31 23:59:59.0<NA>191192.103272439108.877074청소년게임제공업유통관련업<NA><NA><NA>112.63<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>
63170000CDFF224114200800000420080509200906014취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>153825서울특별시 금천구 독산동 973-1번지 1층서울특별시 금천구 독산로 331 (독산동,1층)<NA>오렌지게임랜드2009-06-01 15:55:09I2018-08-31 23:59:59.0<NA>191377.897674441582.99471청소년게임제공업유통관련업5<NA><NA>214.9341<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
73170000CDFF224114200800000520080522<NA>4취소/말소/만료/정지/중지35직권말소20100419<NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 140-8번지 1층(전체금연)서울특별시 금천구 가산로 149 (가산동,1층(전체금연))<NA>던전앤마블2010-04-16 15:16:03I2018-08-31 23:59:59.0<NA>190230.760943441819.480775청소년게임제공업유통관련업<NA><NA><NA>209.28<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>
83170000CDFF224114200800000620080523<NA>3폐업3폐업20080923<NA><NA><NA><NA><NA>153857서울특별시 금천구 시흥동 856-25번지 지하1층(전체금연)서울특별시 금천구 독산로 135 (시흥동,지하1층(전체금연))<NA>시흥게임랜드2008-09-23 16:54:29I2018-08-31 23:59:59.0<NA>191506.396738439695.13606청소년게임제공업유통관련업3<NA><NA>98.5321<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
93170000CDFF224114200800000720080605<NA>3폐업3폐업20090210<NA><NA><NA><NA><NA>153807서울특별시 금천구 독산동 178-2번지 2층서울특별시 금천구 독산로85길 7 (독산동,2층)<NA>태왕사신전2009-02-10 14:57:58I2018-08-31 23:59:59.0<NA>191327.359991441129.618876청소년게임제공업유통관련업<NA><NA><NA>178.51<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
1733170000CDFF224114202100000120210402<NA>3폐업3폐업20220114<NA><NA><NA><NA><NA><NA>서울특별시 금천구 독산동 961-10 흥일빌딩서울특별시 금천구 독산로 344, 흥일빌딩 2층 (독산동)8550뉴월드게임장2022-01-14 14:03:54U2022-01-16 02:40:00.0<NA>191433.767015441693.522988청소년게임제공업유통관련업<NA><NA>허리케인 50180.84<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>
1743170000CDFF224114202100000220210527<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 922서울특별시 금천구 독산로 30, 1층 (시흥동)8643만수르뽑기2021-05-27 13:42:11I2021-05-29 00:22:55.0<NA>191608.946983438652.881695청소년게임제공업유통관련업<NA><NA><NA>36.6<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>
1753170000CDFF22411420210000032021-06-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 독산동 961-29서울특별시 금천구 독산로 338, 1층 (독산동)8550오늘뽑기2023-02-08 09:55:29U2022-12-01 23:00:00.0<NA>191427.146838441635.890557<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1763170000CDFF224114202200000120220603<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 독산동 973-1 어반팰리스서울특별시 금천구 독산로 329, 어반팰리스 1층 106호 (독산동)8541독산동 뽑기왕2022-06-03 17:59:20I2021-12-06 00:05:00.0<NA>191377.897674441582.99471<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1773170000CDFF224114202200000220220622<NA>3폐업3폐업20221102<NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 235-61서울특별시 금천구 가산로5길 65, 2층 (가산동)8521인형뽑기샵2022-11-03 11:05:16U2021-11-01 00:05:00.0<NA>190285.333927441255.654835<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1783170000CDFF22411420220000032022-11-11<NA>3폐업3폐업2023-09-22<NA><NA><NA><NA><NA><NA>서울특별시 금천구 독산동 178-33서울특별시 금천구 독산로 273-1, 1층 (독산동)8546THE뽑기짱2023-09-22 17:28:31U2022-12-08 22:04:00.0<NA>191337.894201441016.521594<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1793170000CDFF224114202200000420221219<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 독산동 951-21서울특별시 금천구 독산로109길 18, 1층 (독산동)853724시 뽑기방2022-12-19 11:19:11I2021-11-01 22:01:00.0<NA>191332.568474441882.752993<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1803170000CDFF22411420230000012023-08-29<NA>3폐업3폐업2023-09-06<NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 994-1서울특별시 금천구 시흥대로57길 46, 지하1층 (시흥동)8632시흥게임랜드2023-09-06 20:08:18U2022-12-09 00:08:00.0<NA>191092.662139439128.639026<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1813170000CDFF22411420240000012024-01-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 253-16서울특별시 금천구 금하로 729, 1층 (시흥동)8657스마일2024-01-02 14:44:01I2023-12-01 00:04:00.0<NA>192047.252505438724.255884<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1823170000CDFF22411420240000022024-01-04<NA>3폐업3폐업2024-03-26<NA><NA><NA><NA><NA><NA>서울특별시 금천구 시흥동 124-10서울특별시 금천구 시흥대로71길 44, 2층 (시흥동)8614매직게임장2024-03-26 16:06:10U2023-12-02 22:08:00.0<NA>191031.986588439209.588199<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>