Overview

Dataset statistics

Number of variables56
Number of observations140
Missing cells3705
Missing cells (%)47.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory66.4 KiB
Average record size in memory485.9 B

Variable types

Categorical18
Text6
DateTime3
Numeric9
Unsupported20

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
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-16828/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 is highly imbalanced (73.4%)Imbalance
지하층수 is highly imbalanced (57.0%)Imbalance
건물용도명 is highly imbalanced (64.1%)Imbalance
통로너비 is highly imbalanced (93.9%)Imbalance
조명시설조도 is highly imbalanced (92.3%)Imbalance
노래방실수 is highly imbalanced (93.9%)Imbalance
청소년실수 is highly imbalanced (93.9%)Imbalance
지역구분명 is highly imbalanced (70.6%)Imbalance
인허가취소일자 has 99 (70.7%) missing valuesMissing
폐업일자 has 65 (46.4%) missing valuesMissing
휴업시작일자 has 140 (100.0%) missing valuesMissing
휴업종료일자 has 140 (100.0%) missing valuesMissing
재개업일자 has 140 (100.0%) missing valuesMissing
전화번호 has 131 (93.6%) missing valuesMissing
소재지면적 has 140 (100.0%) missing valuesMissing
소재지우편번호 has 132 (94.3%) missing valuesMissing
도로명우편번호 has 66 (47.1%) missing valuesMissing
업태구분명 has 140 (100.0%) missing valuesMissing
총층수 has 108 (77.1%) missing valuesMissing
제작취급품목내용 has 71 (50.7%) missing valuesMissing
시설면적 has 28 (20.0%) missing valuesMissing
지상층수 has 108 (77.1%) missing valuesMissing
비상계단여부 has 140 (100.0%) missing valuesMissing
비상구여부 has 140 (100.0%) missing valuesMissing
자동환기여부 has 140 (100.0%) missing valuesMissing
청소년실여부 has 140 (100.0%) missing valuesMissing
특수조명여부 has 140 (100.0%) missing valuesMissing
방음시설여부 has 140 (100.0%) missing valuesMissing
비디오재생기명 has 140 (100.0%) missing valuesMissing
조명시설유무 has 140 (100.0%) missing valuesMissing
음향시설여부 has 140 (100.0%) missing valuesMissing
편의시설여부 has 140 (100.0%) missing valuesMissing
소방시설여부 has 140 (100.0%) missing valuesMissing
총게임기수 has 97 (69.3%) missing valuesMissing
기존게임업외업종명 has 140 (100.0%) missing valuesMissing
공연장형태구분명 has 140 (100.0%) missing valuesMissing
품목명 has 140 (100.0%) missing valuesMissing
최초등록시점 has 140 (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
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 started2024-04-06 11:30:29.725128
Analysis finished2024-04-06 11:30:30.809010
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3110000
140 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3110000
2nd row3110000
3rd row3110000
4th row3110000
5th row3110000

Common Values

ValueCountFrequency (%)
3110000 140
100.0%

Length

2024-04-06T20:30:30.935946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:30:31.102988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 140
100.0%

관리번호
Text

UNIQUE 

Distinct140
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-06T20:30:31.373388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2800
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

Unique140 ?
Unique (%)100.0%

Sample

1st rowCDFF2241142007000001
2nd rowCDFF2241142007000002
3rd rowCDFF2241142008000001
4th rowCDFF2241142008000002
5th rowCDFF2241142008000003
ValueCountFrequency (%)
cdff2241142007000001 1
 
0.7%
cdff2241142016000006 1
 
0.7%
cdff2241142017000013 1
 
0.7%
cdff2241142017000012 1
 
0.7%
cdff2241142017000011 1
 
0.7%
cdff2241142017000010 1
 
0.7%
cdff2241142017000009 1
 
0.7%
cdff2241142017000008 1
 
0.7%
cdff2241142017000007 1
 
0.7%
cdff2241142016000005 1
 
0.7%
Other values (130) 130
92.9%
2024-04-06T20:30:32.003641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 865
30.9%
2 469
16.8%
1 414
14.8%
4 296
 
10.6%
F 280
 
10.0%
C 140
 
5.0%
D 140
 
5.0%
9 56
 
2.0%
7 36
 
1.3%
8 33
 
1.2%
Other values (3) 71
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2240
80.0%
Uppercase Letter 560
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 865
38.6%
2 469
20.9%
1 414
18.5%
4 296
 
13.2%
9 56
 
2.5%
7 36
 
1.6%
8 33
 
1.5%
3 33
 
1.5%
6 20
 
0.9%
5 18
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 280
50.0%
C 140
25.0%
D 140
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2240
80.0%
Latin 560
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 865
38.6%
2 469
20.9%
1 414
18.5%
4 296
 
13.2%
9 56
 
2.5%
7 36
 
1.6%
8 33
 
1.5%
3 33
 
1.5%
6 20
 
0.9%
5 18
 
0.8%
Latin
ValueCountFrequency (%)
F 280
50.0%
C 140
25.0%
D 140
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 865
30.9%
2 469
16.8%
1 414
14.8%
4 296
 
10.6%
F 280
 
10.0%
C 140
 
5.0%
D 140
 
5.0%
9 56
 
2.0%
7 36
 
1.3%
8 33
 
1.2%
Other values (3) 71
 
2.5%
Distinct130
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2007-11-05 00:00:00
Maximum2024-03-25 00:00:00
2024-04-06T20:30:32.298459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:30:32.539599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)63.4%
Missing99
Missing (%)70.7%
Infinite0
Infinite (%)0.0%
Mean20107365
Minimum20090105
Maximum20210909
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-06T20:30:32.769210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090105
5-th percentile20090105
Q120091231
median20100315
Q320100721
95-th percentile20181127
Maximum20210909
Range120804
Interquartile range (IQR)9490

Descriptive statistics

Standard deviation27877.602
Coefficient of variation (CV)0.0013864374
Kurtosis7.5697971
Mean20107365
Median Absolute Deviation (MAD)495
Skewness2.8491864
Sum8.2440195 × 108
Variance7.7716071 × 108
MonotonicityNot monotonic
2024-04-06T20:30:32.985958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
20100228 5
 
3.6%
20100315 5
 
3.6%
20100428 3
 
2.1%
20090105 3
 
2.1%
20100125 2
 
1.4%
20100629 2
 
1.4%
20090717 2
 
1.4%
20090730 1
 
0.7%
20100721 1
 
0.7%
20210909 1
 
0.7%
Other values (16) 16
 
11.4%
(Missing) 99
70.7%
ValueCountFrequency (%)
20090105 3
2.1%
20090416 1
 
0.7%
20090717 2
 
1.4%
20090730 1
 
0.7%
20090820 1
 
0.7%
20091130 1
 
0.7%
20091228 1
 
0.7%
20091231 1
 
0.7%
20100125 2
 
1.4%
20100228 5
3.6%
ValueCountFrequency (%)
20210909 1
0.7%
20200626 1
0.7%
20181127 1
0.7%
20150902 1
0.7%
20120322 1
0.7%
20110919 1
0.7%
20110527 1
0.7%
20110128 1
0.7%
20100909 1
0.7%
20100810 1
0.7%
Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3
67 
4
49 
1
24 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 67
47.9%
4 49
35.0%
1 24
 
17.1%

Length

2024-04-06T20:30:33.421504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:30:33.621264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 67
47.9%
4 49
35.0%
1 24
 
17.1%

영업상태명
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
폐업
67 
취소/말소/만료/정지/중지
49 
영업/정상
24 

Length

Max length14
Median length5
Mean length6.7142857
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 67
47.9%
취소/말소/만료/정지/중지 49
35.0%
영업/정상 24
 
17.1%

Length

2024-04-06T20:30:33.854591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:30:34.014798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 67
47.9%
취소/말소/만료/정지/중지 49
35.0%
영업/정상 24
 
17.1%
Distinct4
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3
67 
31
41 
13
24 
35

Length

Max length2
Median length2
Mean length1.5214286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row35
2nd row13
3rd row3
4th row31
5th row3

Common Values

ValueCountFrequency (%)
3 67
47.9%
31 41
29.3%
13 24
 
17.1%
35 8
 
5.7%

Length

2024-04-06T20:30:34.257237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:30:34.453645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 67
47.9%
31 41
29.3%
13 24
 
17.1%
35 8
 
5.7%
Distinct4
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
폐업
67 
등록취소
41 
영업중
24 
직권말소

Length

Max length4
Median length3
Mean length2.8714286
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 67
47.9%
등록취소 41
29.3%
영업중 24
 
17.1%
직권말소 8
 
5.7%

Length

2024-04-06T20:30:34.686992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:30:34.878286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 67
47.9%
등록취소 41
29.3%
영업중 24
 
17.1%
직권말소 8
 
5.7%

폐업일자
Date

MISSING 

Distinct72
Distinct (%)96.0%
Missing65
Missing (%)46.4%
Memory size1.2 KiB
Minimum2009-03-05 00:00:00
Maximum2024-02-29 00:00:00
2024-04-06T20:30:35.087360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:30:35.312516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

전화번호
Text

MISSING 

Distinct9
Distinct (%)100.0%
Missing131
Missing (%)93.6%
Memory size1.2 KiB
2024-04-06T20:30:35.570194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length9.5555556
Min length8

Characters and Unicode

Total characters86
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)100.0%

Sample

1st row02-352-1242
2nd row02-354-3220
3rd row383-0659
4th row023523545
5th row385-9436
ValueCountFrequency (%)
02-352-1242 1
11.1%
02-354-3220 1
11.1%
383-0659 1
11.1%
023523545 1
11.1%
385-9436 1
11.1%
355-7757 1
11.1%
02-356-7094 1
11.1%
02-387-9883 1
11.1%
023593578 1
11.1%
2024-04-06T20:30:36.165661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 15
17.4%
5 13
15.1%
2 12
14.0%
- 11
12.8%
0 9
10.5%
8 6
 
7.0%
7 6
 
7.0%
4 5
 
5.8%
9 5
 
5.8%
6 3
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 75
87.2%
Dash Punctuation 11
 
12.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 15
20.0%
5 13
17.3%
2 12
16.0%
0 9
12.0%
8 6
 
8.0%
7 6
 
8.0%
4 5
 
6.7%
9 5
 
6.7%
6 3
 
4.0%
1 1
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 86
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 15
17.4%
5 13
15.1%
2 12
14.0%
- 11
12.8%
0 9
10.5%
8 6
 
7.0%
7 6
 
7.0%
4 5
 
5.8%
9 5
 
5.8%
6 3
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 86
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 15
17.4%
5 13
15.1%
2 12
14.0%
- 11
12.8%
0 9
10.5%
8 6
 
7.0%
7 6
 
7.0%
4 5
 
5.8%
9 5
 
5.8%
6 3
 
3.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)87.5%
Missing132
Missing (%)94.3%
Infinite0
Infinite (%)0.0%
Mean122870.62
Minimum122808
Maximum122924
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-06T20:30:36.403178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum122808
5-th percentile122808.35
Q1122836
median122877.5
Q3122906
95-th percentile122924
Maximum122924
Range116
Interquartile range (IQR)70

Descriptive statistics

Standard deviation47.38275
Coefficient of variation (CV)0.00038563123
Kurtosis-1.6592701
Mean122870.62
Median Absolute Deviation (MAD)39.5
Skewness-0.27257171
Sum982965
Variance2245.125
MonotonicityNot monotonic
2024-04-06T20:30:36.611971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
122924 2
 
1.4%
122896 1
 
0.7%
122808 1
 
0.7%
122809 1
 
0.7%
122845 1
 
0.7%
122859 1
 
0.7%
122900 1
 
0.7%
(Missing) 132
94.3%
ValueCountFrequency (%)
122808 1
0.7%
122809 1
0.7%
122845 1
0.7%
122859 1
0.7%
122896 1
0.7%
122900 1
0.7%
122924 2
1.4%
ValueCountFrequency (%)
122924 2
1.4%
122900 1
0.7%
122896 1
0.7%
122859 1
0.7%
122845 1
0.7%
122809 1
0.7%
122808 1
0.7%
Distinct129
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-06T20:30:37.071491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length35
Mean length24.95
Min length18

Characters and Unicode

Total characters3493
Distinct characters83
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique120 ?
Unique (%)85.7%

Sample

1st row서울특별시 은평구 대조동 199-1번지 4층
2nd row서울특별시 은평구 대조동 197-12번지 지층
3rd row서울특별시 은평구 역촌동 16-7번지 3층
4th row서울특별시 은평구 응암동 599-27번지 1층
5th row서울특별시 은평구 갈현동 456-5번지 1층
ValueCountFrequency (%)
서울특별시 140
19.9%
은평구 140
19.9%
갈현동 42
 
6.0%
1층 34
 
4.8%
2층 32
 
4.5%
역촌동 29
 
4.1%
대조동 24
 
3.4%
지층 16
 
2.3%
신사동 16
 
2.3%
응암동 13
 
1.8%
Other values (153) 219
31.1%
2024-04-06T20:30:37.762334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
670
19.2%
1 169
 
4.8%
146
 
4.2%
142
 
4.1%
142
 
4.1%
141
 
4.0%
140
 
4.0%
140
 
4.0%
140
 
4.0%
140
 
4.0%
Other values (73) 1523
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1976
56.6%
Decimal Number 712
 
20.4%
Space Separator 670
 
19.2%
Dash Punctuation 132
 
3.8%
Other Punctuation 2
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
146
 
7.4%
142
 
7.2%
142
 
7.2%
141
 
7.1%
140
 
7.1%
140
 
7.1%
140
 
7.1%
140
 
7.1%
140
 
7.1%
122
 
6.2%
Other values (59) 583
29.5%
Decimal Number
ValueCountFrequency (%)
1 169
23.7%
2 107
15.0%
3 78
11.0%
9 71
10.0%
5 62
 
8.7%
4 56
 
7.9%
6 54
 
7.6%
0 48
 
6.7%
7 34
 
4.8%
8 33
 
4.6%
Space Separator
ValueCountFrequency (%)
670
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 132
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1976
56.6%
Common 1516
43.4%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
146
 
7.4%
142
 
7.2%
142
 
7.2%
141
 
7.1%
140
 
7.1%
140
 
7.1%
140
 
7.1%
140
 
7.1%
140
 
7.1%
122
 
6.2%
Other values (59) 583
29.5%
Common
ValueCountFrequency (%)
670
44.2%
1 169
 
11.1%
- 132
 
8.7%
2 107
 
7.1%
3 78
 
5.1%
9 71
 
4.7%
5 62
 
4.1%
4 56
 
3.7%
6 54
 
3.6%
0 48
 
3.2%
Other values (3) 69
 
4.6%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1976
56.6%
ASCII 1517
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
670
44.2%
1 169
 
11.1%
- 132
 
8.7%
2 107
 
7.1%
3 78
 
5.1%
9 71
 
4.7%
5 62
 
4.1%
4 56
 
3.7%
6 54
 
3.6%
0 48
 
3.2%
Other values (4) 70
 
4.6%
Hangul
ValueCountFrequency (%)
146
 
7.4%
142
 
7.2%
142
 
7.2%
141
 
7.1%
140
 
7.1%
140
 
7.1%
140
 
7.1%
140
 
7.1%
140
 
7.1%
122
 
6.2%
Other values (59) 583
29.5%
Distinct130
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-06T20:30:38.315414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length42
Mean length29.085714
Min length22

Characters and Unicode

Total characters4072
Distinct characters111
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

Unique122 ?
Unique (%)87.1%

Sample

1st row서울특별시 은평구 연서로26길 4, 4층 (대조동)
2nd row서울특별시 은평구 연서로26길 7 (대조동,지층)
3rd row서울특별시 은평구 진흥로 105 (역촌동,3층)
4th row서울특별시 은평구 응암로11길 4 (응암동,1층)
5th row서울특별시 은평구 연서로29길 3 (갈현동,1층)
ValueCountFrequency (%)
서울특별시 140
 
17.4%
은평구 140
 
17.4%
1층 35
 
4.3%
통일로 21
 
2.6%
갈현동 19
 
2.4%
역촌동 18
 
2.2%
갈현로 18
 
2.2%
연서로 16
 
2.0%
2층 14
 
1.7%
신사동 12
 
1.5%
Other values (187) 372
46.2%
2024-04-06T20:30:39.174456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
724
 
17.8%
189
 
4.6%
1 172
 
4.2%
154
 
3.8%
154
 
3.8%
146
 
3.6%
) 140
 
3.4%
( 140
 
3.4%
140
 
3.4%
140
 
3.4%
Other values (101) 1973
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2299
56.5%
Space Separator 724
 
17.8%
Decimal Number 591
 
14.5%
Close Punctuation 140
 
3.4%
Open Punctuation 140
 
3.4%
Other Punctuation 140
 
3.4%
Dash Punctuation 37
 
0.9%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
189
 
8.2%
154
 
6.7%
154
 
6.7%
146
 
6.4%
140
 
6.1%
140
 
6.1%
140
 
6.1%
140
 
6.1%
140
 
6.1%
139
 
6.0%
Other values (85) 817
35.5%
Decimal Number
ValueCountFrequency (%)
1 172
29.1%
2 112
19.0%
0 52
 
8.8%
3 51
 
8.6%
8 40
 
6.8%
5 39
 
6.6%
9 37
 
6.3%
7 35
 
5.9%
6 27
 
4.6%
4 26
 
4.4%
Space Separator
ValueCountFrequency (%)
724
100.0%
Close Punctuation
ValueCountFrequency (%)
) 140
100.0%
Open Punctuation
ValueCountFrequency (%)
( 140
100.0%
Other Punctuation
ValueCountFrequency (%)
, 140
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2299
56.5%
Common 1772
43.5%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
189
 
8.2%
154
 
6.7%
154
 
6.7%
146
 
6.4%
140
 
6.1%
140
 
6.1%
140
 
6.1%
140
 
6.1%
140
 
6.1%
139
 
6.0%
Other values (85) 817
35.5%
Common
ValueCountFrequency (%)
724
40.9%
1 172
 
9.7%
) 140
 
7.9%
( 140
 
7.9%
, 140
 
7.9%
2 112
 
6.3%
0 52
 
2.9%
3 51
 
2.9%
8 40
 
2.3%
5 39
 
2.2%
Other values (5) 162
 
9.1%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2299
56.5%
ASCII 1773
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
724
40.8%
1 172
 
9.7%
) 140
 
7.9%
( 140
 
7.9%
, 140
 
7.9%
2 112
 
6.3%
0 52
 
2.9%
3 51
 
2.9%
8 40
 
2.3%
5 39
 
2.2%
Other values (6) 163
 
9.2%
Hangul
ValueCountFrequency (%)
189
 
8.2%
154
 
6.7%
154
 
6.7%
146
 
6.4%
140
 
6.1%
140
 
6.1%
140
 
6.1%
140
 
6.1%
140
 
6.1%
139
 
6.0%
Other values (85) 817
35.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)63.5%
Missing66
Missing (%)47.1%
Infinite0
Infinite (%)0.0%
Mean13076.473
Minimum3301
Maximum122900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-06T20:30:39.654021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3301
5-th percentile3306
Q13331
median3403.5
Q33436.75
95-th percentile122855.65
Maximum122900
Range119599
Interquartile range (IQR)105.75

Descriptive statistics

Standard deviation32836.151
Coefficient of variation (CV)2.5110862
Kurtosis8.0341983
Mean13076.473
Median Absolute Deviation (MAD)57
Skewness3.1333179
Sum967659
Variance1.0782128 × 109
MonotonicityNot monotonic
2024-04-06T20:30:39.898160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
3330 8
 
5.7%
3306 5
 
3.6%
3331 4
 
2.9%
3404 3
 
2.1%
3423 3
 
2.1%
3484 2
 
1.4%
3419 2
 
1.4%
3436 2
 
1.4%
3461 2
 
1.4%
3333 2
 
1.4%
Other values (37) 41
29.3%
(Missing) 66
47.1%
ValueCountFrequency (%)
3301 1
 
0.7%
3306 5
3.6%
3315 1
 
0.7%
3325 1
 
0.7%
3328 1
 
0.7%
3330 8
5.7%
3331 4
2.9%
3333 2
 
1.4%
3341 1
 
0.7%
3355 1
 
0.7%
ValueCountFrequency (%)
122900 1
0.7%
122899 1
0.7%
122881 2
1.4%
122842 1
0.7%
122816 1
0.7%
3485 1
0.7%
3484 2
1.4%
3478 1
0.7%
3466 1
0.7%
3461 2
1.4%
Distinct105
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-06T20:30:40.290723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length5.0642857
Min length2

Characters and Unicode

Total characters709
Distinct characters171
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)65.0%

Sample

1st row플스존
2nd row은마게임장
3rd row맥스게임
4th row몽키블록게임광장
5th row게임빌리지
ValueCountFrequency (%)
게임랜드 30
 
18.1%
뽑아방 4
 
2.4%
뽑기방 3
 
1.8%
짱구게임 3
 
1.8%
신사게임랜드 2
 
1.2%
게임월드 2
 
1.2%
오거리 2
 
1.2%
파크랜드 2
 
1.2%
캐리비안2 2
 
1.2%
뽑기짱 2
 
1.2%
Other values (107) 114
68.7%
2024-04-06T20:30:41.065546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
81
 
11.4%
80
 
11.3%
62
 
8.7%
56
 
7.9%
33
 
4.7%
26
 
3.7%
25
 
3.5%
14
 
2.0%
13
 
1.8%
12
 
1.7%
Other values (161) 307
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 662
93.4%
Space Separator 26
 
3.7%
Decimal Number 6
 
0.8%
Lowercase Letter 6
 
0.8%
Uppercase Letter 6
 
0.8%
Other Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
81
 
12.2%
80
 
12.1%
62
 
9.4%
56
 
8.5%
33
 
5.0%
25
 
3.8%
14
 
2.1%
13
 
2.0%
12
 
1.8%
11
 
1.7%
Other values (144) 275
41.5%
Lowercase Letter
ValueCountFrequency (%)
h 1
16.7%
m 1
16.7%
c 1
16.7%
e 1
16.7%
t 1
16.7%
a 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
C 1
16.7%
O 1
16.7%
Y 1
16.7%
P 1
16.7%
I 1
16.7%
V 1
16.7%
Decimal Number
ValueCountFrequency (%)
2 4
66.7%
4 2
33.3%
Other Punctuation
ValueCountFrequency (%)
! 2
66.7%
1
33.3%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 662
93.4%
Common 35
 
4.9%
Latin 12
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
81
 
12.2%
80
 
12.1%
62
 
9.4%
56
 
8.5%
33
 
5.0%
25
 
3.8%
14
 
2.1%
13
 
2.0%
12
 
1.8%
11
 
1.7%
Other values (144) 275
41.5%
Latin
ValueCountFrequency (%)
h 1
8.3%
m 1
8.3%
c 1
8.3%
e 1
8.3%
t 1
8.3%
a 1
8.3%
C 1
8.3%
O 1
8.3%
Y 1
8.3%
P 1
8.3%
Other values (2) 2
16.7%
Common
ValueCountFrequency (%)
26
74.3%
2 4
 
11.4%
4 2
 
5.7%
! 2
 
5.7%
1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 662
93.4%
ASCII 46
 
6.5%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
81
 
12.2%
80
 
12.1%
62
 
9.4%
56
 
8.5%
33
 
5.0%
25
 
3.8%
14
 
2.1%
13
 
2.0%
12
 
1.8%
11
 
1.7%
Other values (144) 275
41.5%
ASCII
ValueCountFrequency (%)
26
56.5%
2 4
 
8.7%
4 2
 
4.3%
! 2
 
4.3%
h 1
 
2.2%
m 1
 
2.2%
c 1
 
2.2%
e 1
 
2.2%
t 1
 
2.2%
a 1
 
2.2%
Other values (6) 6
 
13.0%
None
ValueCountFrequency (%)
1
100.0%

최종수정일자
Date

UNIQUE 

Distinct140
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2009-01-05 18:50:34
Maximum2024-03-25 15:54:32
2024-04-06T20:30:41.429665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:30:41.687066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
I
85 
U
55 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 85
60.7%
U 55
39.3%

Length

2024-04-06T20:30:41.944232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:30:42.284795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 85
60.7%
u 55
39.3%
Distinct41
Distinct (%)29.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2018-08-31 23:59:59.0
82 
2021-12-07 21:01:00.0
 
7
2021-12-09 00:01:00.0
 
6
2022-12-08 00:06:00.0
 
5
2018-10-31 02:36:12.0
 
2
Other values (36)
38 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique34 ?
Unique (%)24.3%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-09-17 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 82
58.6%
2021-12-07 21:01:00.0 7
 
5.0%
2021-12-09 00:01:00.0 6
 
4.3%
2022-12-08 00:06:00.0 5
 
3.6%
2018-10-31 02:36:12.0 2
 
1.4%
2020-11-14 02:40:00.0 2
 
1.4%
2023-11-30 23:02:00.0 2
 
1.4%
2020-04-23 02:40:00.0 1
 
0.7%
2018-11-08 02:36:13.0 1
 
0.7%
2019-10-20 02:40:00.0 1
 
0.7%
Other values (31) 31
 
22.1%

Length

2024-04-06T20:30:42.466551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59:59.0 85
30.4%
2018-08-31 82
29.3%
02:40:00.0 21
 
7.5%
21:01:00.0 7
 
2.5%
2021-12-07 7
 
2.5%
00:01:00.0 6
 
2.1%
2021-12-09 6
 
2.1%
2022-12-08 5
 
1.8%
00:06:00.0 5
 
1.8%
2023-11-30 3
 
1.1%
Other values (47) 53
18.9%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

좌표정보(X)
Real number (ℝ)

Distinct109
Distinct (%)77.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean192728.42
Minimum191269.46
Maximum194035.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-06T20:30:43.002738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191269.46
5-th percentile191980.24
Q1192415.01
median192824.9
Q3192945.89
95-th percentile193723.79
Maximum194035.83
Range2766.3757
Interquartile range (IQR)530.88523

Descriptive statistics

Standard deviation481.56825
Coefficient of variation (CV)0.0024986884
Kurtosis0.89218119
Mean192728.42
Median Absolute Deviation (MAD)208.41824
Skewness0.19431285
Sum26981978
Variance231907.98
MonotonicityNot monotonic
2024-04-06T20:30:43.217271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192845.044379709 6
 
4.3%
193061.22897554 4
 
2.9%
192371.887221182 3
 
2.1%
192728.085842162 3
 
2.1%
192945.891991944 3
 
2.1%
192831.93935169 3
 
2.1%
193019.403382395 3
 
2.1%
192837.287423988 3
 
2.1%
192725.640264738 2
 
1.4%
193078.858947858 2
 
1.4%
Other values (99) 108
77.1%
ValueCountFrequency (%)
191269.45895641 1
0.7%
191913.922622151 1
0.7%
191965.918526741 1
0.7%
191967.946787509 2
1.4%
191968.811037474 1
0.7%
191971.566352471 1
0.7%
191980.700252179 1
0.7%
191982.168304564 1
0.7%
191984.429114316 1
0.7%
191987.960725473 1
0.7%
ValueCountFrequency (%)
194035.834637116 1
0.7%
194023.15094564 1
0.7%
193988.821281401 1
0.7%
193910.652515656 1
0.7%
193897.447323348 1
0.7%
193826.37983336 1
0.7%
193735.91191965 1
0.7%
193723.1564212 1
0.7%
193697.548096273 1
0.7%
193495.07069482 1
0.7%

좌표정보(Y)
Real number (ℝ)

Distinct109
Distinct (%)77.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean456493.61
Minimum452975.49
Maximum460038.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-06T20:30:43.417522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452975.49
5-th percentile454257.52
Q1455705.7
median456361.99
Q3457315.37
95-th percentile458256.59
Maximum460038.67
Range7063.1829
Interquartile range (IQR)1609.6709

Descriptive statistics

Standard deviation1267.8905
Coefficient of variation (CV)0.0027774552
Kurtosis0.24522913
Mean456493.61
Median Absolute Deviation (MAD)929.93931
Skewness0.031778818
Sum63909105
Variance1607546.4
MonotonicityNot monotonic
2024-04-06T20:30:43.622862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
457412.609904875 6
 
4.3%
456012.300525164 4
 
2.9%
456759.102149512 3
 
2.1%
457118.575913036 3
 
2.1%
457172.764137396 3
 
2.1%
457310.965291155 3
 
2.1%
456302.92877653 3
 
2.1%
458256.586618816 3
 
2.1%
454655.756426713 2
 
1.4%
456018.173376541 2
 
1.4%
Other values (99) 108
77.1%
ValueCountFrequency (%)
452975.488380827 1
0.7%
453729.024220851 1
0.7%
454020.786703922 1
0.7%
454034.633334964 2
1.4%
454063.312142591 1
0.7%
454130.620015583 1
0.7%
454264.200877747 1
0.7%
454625.240058959 1
0.7%
454642.804343484 1
0.7%
454655.756426713 2
1.4%
ValueCountFrequency (%)
460038.671289923 1
 
0.7%
459646.827222065 1
 
0.7%
459461.236119623 2
1.4%
459266.981388393 1
 
0.7%
459225.670587264 1
 
0.7%
458256.586618816 3
2.1%
458205.861372099 1
 
0.7%
458034.305016319 1
 
0.7%
458017.674670272 1
 
0.7%
457913.395782448 1
 
0.7%
Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
청소년게임제공업
112 
<NA>
28 

Length

Max length8
Median length8
Mean length7.2
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청소년게임제공업 112
80.0%
<NA> 28
 
20.0%

Length

2024-04-06T20:30:43.862573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:30:44.038873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청소년게임제공업 112
80.0%
na 28
 
20.0%
Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
유통관련업
112 
<NA>
28 

Length

Max length5
Median length5
Mean length4.8
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 112
80.0%
<NA> 28
 
20.0%

Length

2024-04-06T20:30:44.225282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:30:44.403139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 112
80.0%
na 28
 
20.0%

총층수
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)37.5%
Missing108
Missing (%)77.1%
Infinite0
Infinite (%)0.0%
Mean4.9375
Minimum0
Maximum23
Zeros1
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-06T20:30:44.586271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median4
Q35
95-th percentile10.45
Maximum23
Range23
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.2497628
Coefficient of variation (CV)0.86071145
Kurtosis9.9972228
Mean4.9375
Median Absolute Deviation (MAD)1
Skewness2.7359945
Sum158
Variance18.060484
MonotonicityNot monotonic
2024-04-06T20:30:44.770531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
4 9
 
6.4%
3 7
 
5.0%
5 3
 
2.1%
2 3
 
2.1%
10 2
 
1.4%
1 2
 
1.4%
23 1
 
0.7%
9 1
 
0.7%
7 1
 
0.7%
8 1
 
0.7%
Other values (2) 2
 
1.4%
(Missing) 108
77.1%
ValueCountFrequency (%)
0 1
 
0.7%
1 2
 
1.4%
2 3
 
2.1%
3 7
5.0%
4 9
6.4%
5 3
 
2.1%
7 1
 
0.7%
8 1
 
0.7%
9 1
 
0.7%
10 2
 
1.4%
ValueCountFrequency (%)
23 1
 
0.7%
11 1
 
0.7%
10 2
 
1.4%
9 1
 
0.7%
8 1
 
0.7%
7 1
 
0.7%
5 3
 
2.1%
4 9
6.4%
3 7
5.0%
2 3
 
2.1%

주변환경명
Categorical

IMBALANCE 

Distinct6
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
126 
기타
 
4
주택가주변
 
4
유흥업소밀집지역
 
3
학교정화(상대)
 
2

Length

Max length8
Median length4
Mean length4.1214286
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 126
90.0%
기타 4
 
2.9%
주택가주변 4
 
2.9%
유흥업소밀집지역 3
 
2.1%
학교정화(상대) 2
 
1.4%
아파트지역 1
 
0.7%

Length

2024-04-06T20:30:44.970391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:30:45.202690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 126
90.0%
기타 4
 
2.9%
주택가주변 4
 
2.9%
유흥업소밀집지역 3
 
2.1%
학교정화(상대 2
 
1.4%
아파트지역 1
 
0.7%
Distinct69
Distinct (%)100.0%
Missing71
Missing (%)50.7%
Memory size1.2 KiB
2024-04-06T20:30:45.607308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length141
Median length25
Mean length14.84058
Min length2

Characters and Unicode

Total characters1024
Distinct characters223
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)100.0%

Sample

1st row철권5 등
2nd row스틸라
3rd row슈퍼샷(40대)->골드써브마린(40대)
4th rowcatch5(40대)
5th row게임물(블루씨->블루리카,40대)변경
ValueCountFrequency (%)
40대 7
 
4.8%
토이즈팝 5
 
3.4%
윷놀이 4
 
2.7%
4
 
2.7%
뽀끼뽀끼2 3
 
2.1%
조아조아 3
 
2.1%
럭셔리 3
 
2.1%
조아조아윷놀이 2
 
1.4%
멘토스 2
 
1.4%
스트라이커1945 2
 
1.4%
Other values (110) 111
76.0%
2024-04-06T20:30:46.358130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
78
 
7.6%
, 45
 
4.4%
) 44
 
4.3%
( 44
 
4.3%
36
 
3.5%
33
 
3.2%
4 25
 
2.4%
24
 
2.3%
1 22
 
2.1%
2 19
 
1.9%
Other values (213) 654
63.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 602
58.8%
Decimal Number 121
 
11.8%
Space Separator 78
 
7.6%
Other Punctuation 45
 
4.4%
Uppercase Letter 45
 
4.4%
Close Punctuation 44
 
4.3%
Open Punctuation 44
 
4.3%
Lowercase Letter 36
 
3.5%
Dash Punctuation 4
 
0.4%
Math Symbol 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
36
 
6.0%
33
 
5.5%
24
 
4.0%
17
 
2.8%
17
 
2.8%
16
 
2.7%
15
 
2.5%
12
 
2.0%
12
 
2.0%
12
 
2.0%
Other values (165) 408
67.8%
Uppercase Letter
ValueCountFrequency (%)
A 6
13.3%
E 5
 
11.1%
N 4
 
8.9%
S 3
 
6.7%
M 3
 
6.7%
T 2
 
4.4%
I 2
 
4.4%
R 2
 
4.4%
C 2
 
4.4%
H 2
 
4.4%
Other values (8) 14
31.1%
Lowercase Letter
ValueCountFrequency (%)
c 6
16.7%
a 5
13.9%
t 4
11.1%
h 4
11.1%
e 4
11.1%
d 3
8.3%
n 3
8.3%
i 2
 
5.6%
r 2
 
5.6%
s 1
 
2.8%
Other values (2) 2
 
5.6%
Decimal Number
ValueCountFrequency (%)
4 25
20.7%
1 22
18.2%
2 19
15.7%
0 18
14.9%
5 14
11.6%
9 8
 
6.6%
3 7
 
5.8%
7 3
 
2.5%
6 3
 
2.5%
8 2
 
1.7%
Letter Number
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
78
100.0%
Other Punctuation
ValueCountFrequency (%)
, 45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
> 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 602
58.8%
Common 339
33.1%
Latin 83
 
8.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
36
 
6.0%
33
 
5.5%
24
 
4.0%
17
 
2.8%
17
 
2.8%
16
 
2.7%
15
 
2.5%
12
 
2.0%
12
 
2.0%
12
 
2.0%
Other values (165) 408
67.8%
Latin
ValueCountFrequency (%)
A 6
 
7.2%
c 6
 
7.2%
a 5
 
6.0%
E 5
 
6.0%
N 4
 
4.8%
t 4
 
4.8%
h 4
 
4.8%
e 4
 
4.8%
S 3
 
3.6%
M 3
 
3.6%
Other values (22) 39
47.0%
Common
ValueCountFrequency (%)
78
23.0%
, 45
13.3%
) 44
13.0%
( 44
13.0%
4 25
 
7.4%
1 22
 
6.5%
2 19
 
5.6%
0 18
 
5.3%
5 14
 
4.1%
9 8
 
2.4%
Other values (6) 22
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 602
58.8%
ASCII 420
41.0%
Number Forms 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
78
18.6%
, 45
10.7%
) 44
10.5%
( 44
10.5%
4 25
 
6.0%
1 22
 
5.2%
2 19
 
4.5%
0 18
 
4.3%
5 14
 
3.3%
9 8
 
1.9%
Other values (36) 103
24.5%
Hangul
ValueCountFrequency (%)
36
 
6.0%
33
 
5.5%
24
 
4.0%
17
 
2.8%
17
 
2.8%
16
 
2.7%
15
 
2.5%
12
 
2.0%
12
 
2.0%
12
 
2.0%
Other values (165) 408
67.8%
Number Forms
ValueCountFrequency (%)
1
50.0%
1
50.0%

시설면적
Real number (ℝ)

MISSING 

Distinct96
Distinct (%)85.7%
Missing28
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean209.87348
Minimum13.2
Maximum11476
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-06T20:30:46.618546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13.2
5-th percentile24.937
Q154.05
median117.59
Q3143.145
95-th percentile199.697
Maximum11476
Range11462.8
Interquartile range (IQR)89.095

Descriptive statistics

Standard deviation1075.6837
Coefficient of variation (CV)5.1253913
Kurtosis111.34073
Mean209.87348
Median Absolute Deviation (MAD)36.97
Skewness10.536693
Sum23505.83
Variance1157095.5
MonotonicityNot monotonic
2024-04-06T20:30:46.933758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
142.8 3
 
2.1%
155.04 3
 
2.1%
196.07 3
 
2.1%
32.16 3
 
2.1%
30.0 2
 
1.4%
83.04 2
 
1.4%
119.47 2
 
1.4%
26.0 2
 
1.4%
117.59 2
 
1.4%
127.72 2
 
1.4%
Other values (86) 88
62.9%
(Missing) 28
 
20.0%
ValueCountFrequency (%)
13.2 1
0.7%
17.5 1
0.7%
19.83 1
0.7%
23.61 1
0.7%
24.78 1
0.7%
24.86 1
0.7%
25.0 1
0.7%
26.0 2
1.4%
26.4 1
0.7%
26.77 1
0.7%
ValueCountFrequency (%)
11476.0 1
 
0.7%
280.04 1
 
0.7%
248.41 1
 
0.7%
232.57 1
 
0.7%
218.42 1
 
0.7%
204.13 1
 
0.7%
196.07 3
2.1%
189.98 1
 
0.7%
189.51 1
 
0.7%
177.19 1
 
0.7%

지상층수
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)28.1%
Missing108
Missing (%)77.1%
Infinite0
Infinite (%)0.0%
Mean4.03125
Minimum0
Maximum21
Zeros1
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-06T20:30:47.203672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q12
median3
Q34
95-th percentile8.45
Maximum21
Range21
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.702522
Coefficient of variation (CV)0.91845508
Kurtosis14.280665
Mean4.03125
Median Absolute Deviation (MAD)1
Skewness3.3822161
Sum129
Variance13.708669
MonotonicityNot monotonic
2024-04-06T20:30:47.402471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3 11
 
7.9%
2 10
 
7.1%
7 3
 
2.1%
4 3
 
2.1%
21 1
 
0.7%
8 1
 
0.7%
5 1
 
0.7%
9 1
 
0.7%
0 1
 
0.7%
(Missing) 108
77.1%
ValueCountFrequency (%)
0 1
 
0.7%
2 10
7.1%
3 11
7.9%
4 3
 
2.1%
5 1
 
0.7%
7 3
 
2.1%
8 1
 
0.7%
9 1
 
0.7%
21 1
 
0.7%
ValueCountFrequency (%)
21 1
 
0.7%
9 1
 
0.7%
8 1
 
0.7%
7 3
 
2.1%
5 1
 
0.7%
4 3
 
2.1%
3 11
7.9%
2 10
7.1%
0 1
 
0.7%

지하층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
111 
1
21 
2
 
4
3
 
2
0
 
2

Length

Max length4
Median length4
Mean length3.3785714
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 111
79.3%
1 21
 
15.0%
2 4
 
2.9%
3 2
 
1.4%
0 2
 
1.4%

Length

2024-04-06T20:30:47.605437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:30:47.796895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 111
79.3%
1 21
 
15.0%
2 4
 
2.9%
3 2
 
1.4%
0 2
 
1.4%

건물용도명
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
115 
근린생활시설
21 
판매시설
 
2
숙박시설
 
1
위험물저장시설
 
1

Length

Max length7
Median length4
Mean length4.3214286
Min length4

Unique

Unique2 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 115
82.1%
근린생활시설 21
 
15.0%
판매시설 2
 
1.4%
숙박시설 1
 
0.7%
위험물저장시설 1
 
0.7%

Length

2024-04-06T20:30:47.995712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:30:48.165205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 115
82.1%
근린생활시설 21
 
15.0%
판매시설 2
 
1.4%
숙박시설 1
 
0.7%
위험물저장시설 1
 
0.7%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
139 
0
 
1

Length

Max length4
Median length4
Mean length3.9785714
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 139
99.3%
0 1
 
0.7%

Length

2024-04-06T20:30:48.347101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:30:48.509786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 139
99.3%
0 1
 
0.7%

조명시설조도
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
138 
40
 
1
0
 
1

Length

Max length4
Median length4
Mean length3.9642857
Min length1

Unique

Unique2 ?
Unique (%)1.4%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row40

Common Values

ValueCountFrequency (%)
<NA> 138
98.6%
40 1
 
0.7%
0 1
 
0.7%

Length

2024-04-06T20:30:48.761743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:30:49.010690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 138
98.6%
40 1
 
0.7%
0 1
 
0.7%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
139 
0
 
1

Length

Max length4
Median length4
Mean length3.9785714
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 139
99.3%
0 1
 
0.7%

Length

2024-04-06T20:30:49.210953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:30:49.414255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 139
99.3%
0 1
 
0.7%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
139 
0
 
1

Length

Max length4
Median length4
Mean length3.9785714
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 139
99.3%
0 1
 
0.7%

Length

2024-04-06T20:30:49.687714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:30:49.866268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 139
99.3%
0 1
 
0.7%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

총게임기수
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)41.9%
Missing97
Missing (%)69.3%
Infinite0
Infinite (%)0.0%
Mean25.465116
Minimum2
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-06T20:30:50.022878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile6
Q19
median27
Q340
95-th percentile49.5
Maximum50
Range48
Interquartile range (IQR)31

Descriptive statistics

Standard deviation16.356663
Coefficient of variation (CV)0.64231644
Kurtosis-1.7748086
Mean25.465116
Median Absolute Deviation (MAD)15
Skewness0.015318787
Sum1095
Variance267.54042
MonotonicityNot monotonic
2024-04-06T20:30:50.242557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
40 13
 
9.3%
8 4
 
2.9%
12 3
 
2.1%
50 3
 
2.1%
45 2
 
1.4%
6 2
 
1.4%
34 2
 
1.4%
7 2
 
1.4%
11 2
 
1.4%
9 2
 
1.4%
Other values (8) 8
 
5.7%
(Missing) 97
69.3%
ValueCountFrequency (%)
2 1
 
0.7%
5 1
 
0.7%
6 2
1.4%
7 2
1.4%
8 4
2.9%
9 2
1.4%
10 1
 
0.7%
11 2
1.4%
12 3
2.1%
13 1
 
0.7%
ValueCountFrequency (%)
50 3
 
2.1%
45 2
 
1.4%
40 13
9.3%
37 1
 
0.7%
34 2
 
1.4%
27 1
 
0.7%
24 1
 
0.7%
15 1
 
0.7%
13 1
 
0.7%
12 3
 
2.1%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB
Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
전체이용가
104 
<NA>
36 

Length

Max length5
Median length5
Mean length4.7428571
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전체이용가 104
74.3%
<NA> 36
 
25.7%

Length

2024-04-06T20:30:50.457063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:30:50.636404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체이용가 104
74.3%
na 36
 
25.7%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

지역구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
125 
일반주거지역
 
6
일반상업지역
 
5
준주거지역
 
3
근린상업지역
 
1

Length

Max length6
Median length4
Mean length4.1928571
Min length4

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 125
89.3%
일반주거지역 6
 
4.3%
일반상업지역 5
 
3.6%
준주거지역 3
 
2.1%
근린상업지역 1
 
0.7%

Length

2024-04-06T20:30:50.899568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:30:51.128631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 125
89.3%
일반주거지역 6
 
4.3%
일반상업지역 5
 
3.6%
준주거지역 3
 
2.1%
근린상업지역 1
 
0.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03110000CDFF224114200700000120071105<NA>4취소/말소/만료/정지/중지35직권말소20180327<NA><NA><NA><NA><NA><NA>서울특별시 은평구 대조동 199-1번지 4층서울특별시 은평구 연서로26길 4, 4층 (대조동)3386플스존2018-04-20 10:47:47I2018-08-31 23:59:59.0<NA>192858.217723457198.585211청소년게임제공업유통관련업<NA><NA><NA>127.3<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>
13110000CDFF224114200700000220071116<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 대조동 197-12번지 지층서울특별시 은평구 연서로26길 7 (대조동,지층)<NA>은마게임장2015-08-21 16:26:07I2018-08-31 23:59:59.0<NA>192900.086968457203.754724청소년게임제공업유통관련업<NA><NA><NA>92.82<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23110000CDFF224114200800000120080411<NA>3폐업3폐업20090305<NA><NA><NA><NA><NA>122896서울특별시 은평구 역촌동 16-7번지 3층서울특별시 은평구 진흥로 105 (역촌동,3층)<NA>맥스게임2009-03-05 14:15:18I2018-08-31 23:59:59.0<NA>193090.767456455999.944404청소년게임제공업유통관련업<NA><NA><NA>115.04<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>
33110000CDFF224114200800000220080430200901054취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>122924서울특별시 은평구 응암동 599-27번지 1층서울특별시 은평구 응암로11길 4 (응암동,1층)<NA>몽키블록게임광장2009-01-05 18:50:34I2018-08-31 23:59:59.0<NA>192549.812884454020.786704청소년게임제공업유통관련업<NA><NA><NA>59.5<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>
43110000CDFF224114200800000320080520<NA>3폐업3폐업20180917<NA><NA><NA>02-352-1242<NA><NA>서울특별시 은평구 갈현동 456-5번지 1층서울특별시 은평구 연서로29길 3 (갈현동,1층)<NA>게임빌리지2018-09-17 09:13:50U2018-09-17 23:59:59.0<NA>192837.683859457357.936557청소년게임제공업유통관련업3유흥업소밀집지역<NA>106.73<NA>근린생활시설<NA>40<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>일반상업지역
53110000CDFF224114200800000420080530200901054취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>122808서울특별시 은평구 갈현동 395-24번지 지하서울특별시 은평구 통일로 865 (갈현동,지하)<NA>캐리비안22009-01-05 18:54:15I2018-08-31 23:59:59.0<NA>192863.590183457535.494074청소년게임제공업유통관련업3기타<NA>177.1921근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
63110000CDFF224114200800000520080724<NA>3폐업3폐업20110908<NA><NA><NA><NA><NA>122809서울특별시 은평구 갈현동 398-4번지 2층서울특별시 은평구 연서로29길 8-8 (갈현동,2층)<NA>짱게임파크2011-09-08 10:23:23I2018-08-31 23:59:59.0<NA>192845.04438457412.609905청소년게임제공업유통관련업10학교정화(상대)<NA>280.0473<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>37<NA>전체이용가<NA><NA><NA><NA>
73110000CDFF224114200800000620080804<NA>4취소/말소/만료/정지/중지35직권말소20110208<NA><NA><NA>02-354-3220<NA><NA>서울특별시 은평구 역촌동 16-3번지 1층서울특별시 은평구 진흥로 105-4 (역촌동,1층)<NA>광희게임월드2011-02-17 16:37:58I2018-08-31 23:59:59.0<NA>193073.945809456004.580612청소년게임제공업유통관련업3기타<NA>37.1621근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
83110000CDFF224114200800000720080804<NA>4취소/말소/만료/정지/중지35직권말소20100726<NA><NA><NA>383-0659<NA><NA>서울특별시 은평구 갈현동 252-4번지 지하1층서울특별시 은평구 갈현로33길 19 (갈현동,지하1층)<NA>팔팔게임장2010-07-27 14:42:32I2018-08-31 23:59:59.0<NA>192362.338876457635.572888청소년게임제공업유통관련업4학교정화(상대)<NA>109.7731근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93110000CDFF224114200800000820080821<NA>3폐업3폐업20090318<NA><NA><NA><NA><NA>122845서울특별시 은평구 대조동 231번지 1층서울특별시 은평구 서오릉로 94 (대조동,1층)<NA>게임랜드2009-03-20 11:38:20I2018-08-31 23:59:59.0<NA>193019.403382456302.928777청소년게임제공업유통관련업23<NA><NA>32.16212<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
1303110000CDFF224114201900000820191115<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 역촌동 13-54 샹제르망서울특별시 은평구 역말로 71, 샹제르망 1층 (역촌동)3400뽑짱2022-08-30 10:18:37U2021-12-09 00:01:00.0<NA>192708.818883456011.527045<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>
1313110000CDFF224114201900000920191216<NA>3폐업3폐업20200512<NA><NA><NA><NA><NA><NA>서울특별시 은평구 응암동 603-53번지서울특별시 은평구 응암로 154, 2층 (응암동)3478로얄게임장2020-05-13 17:42:25U2020-05-15 02:40:00.0<NA>192497.443525453729.024221청소년게임제공업유통관련업<NA><NA>서해안(40)138.6<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>40<NA>전체이용가<NA><NA><NA><NA>
1323110000CDFF224114202000000120200224<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 응암동 579-1번지 102호서울특별시 은평구 응암로21길 7, 1층 102호 (응암동)3457또뽑아2020-02-24 10:02:03I2020-02-26 00:23:23.0<NA>192596.401735454625.240059청소년게임제공업유통관련업<NA><NA>코코짱(8), 레인보우플러스2(1)24.78<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>9<NA>전체이용가<NA><NA><NA><NA>
1333110000CDFF224114202000000220200429<NA>3폐업3폐업20210510<NA><NA><NA><NA><NA><NA>서울특별시 은평구 역촌동 9-60서울특별시 은평구 역말로 49-1, 1층 좌측호 (역촌동)3401뽑기팡2021-05-10 11:31:36U2021-05-12 02:40:00.0<NA>192515.99241455972.773592청소년게임제공업유통관련업<NA><NA>스마일토이(5)13.2<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>
1343110000CDFF224114202000000320200721<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 신사동 20-26서울특별시 은평구 은평로 33, 1층 (신사동)3423응암뽑기방2020-07-21 16:21:03I2020-07-23 00:23:33.0<NA>192110.579533455117.513947청소년게임제공업유통관련업<NA><NA>토이즈팝 12대34.0<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>
1353110000CDFF224114202200000120220404<NA>1영업/정상13영업중<NA><NA><NA><NA>023593578<NA><NA>서울특별시 은평구 갈현동 398-4 인락빌딩서울특별시 은평구 연서로29길 8-8, 인락빌딩 2층 (갈현동)3330짱구게임2022-08-29 11:00:58U2021-12-07 21:01:00.0<NA>192845.04438457412.609905<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>
1363110000CDFF224114202200000220220523<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 갈현동 506-31서울특별시 은평구 갈현로 201, 1층 (갈현동)3325뽑기짱2022-08-29 11:02:13U2021-12-07 21:01:00.0<NA>192266.498633457033.607813<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>
1373110000CDFF224114202200000320220603<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 갈현동 392-31서울특별시 은평구 통일로 911, 104호 (갈현동)3328뽑기YO2022-08-29 11:01:54U2021-12-07 21:01:00.0<NA>192832.126214458017.67467<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>
1383110000CDFF22411420230000012023-06-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 진관동 63 롯데몰 은평점 2층 4호서울특별시 은평구 통일로 1050, 롯데몰 은평점 2층 4호 (진관동)3306짱구게임2023-08-04 14:35:45U2022-12-08 00:06:00.0<NA>192694.923742459461.23612<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>
1393110000CDFF22411420240000012024-03-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 갈현동 456-32서울특별시 은평구 연서로29길 5, 1층 (갈현동)3331깡 인형뽑기2024-03-25 15:54:32I2023-12-02 22:07:00.0<NA>192824.491212457366.707837<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>