Overview

Dataset statistics

Number of variables56
Number of observations151
Missing cells3830
Missing cells (%)45.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory71.6 KiB
Average record size in memory485.9 B

Variable types

Categorical18
Text7
DateTime4
Numeric7
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
Author양천구
URLhttps://data.seoul.go.kr/dataList/OA-16831/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총층수 is highly imbalanced (67.6%)Imbalance
주변환경명 is highly imbalanced (79.0%)Imbalance
지상층수 is highly imbalanced (58.4%)Imbalance
지하층수 is highly imbalanced (57.9%)Imbalance
건물용도명 is highly imbalanced (79.3%)Imbalance
제공게임물명 is highly imbalanced (51.1%)Imbalance
인허가취소일자 has 132 (87.4%) missing valuesMissing
폐업일자 has 39 (25.8%) missing valuesMissing
휴업시작일자 has 151 (100.0%) missing valuesMissing
휴업종료일자 has 151 (100.0%) missing valuesMissing
재개업일자 has 151 (100.0%) missing valuesMissing
전화번호 has 146 (96.7%) missing valuesMissing
소재지면적 has 151 (100.0%) missing valuesMissing
소재지우편번호 has 139 (92.1%) missing valuesMissing
도로명우편번호 has 60 (39.7%) missing valuesMissing
업태구분명 has 151 (100.0%) missing valuesMissing
제작취급품목내용 has 69 (45.7%) missing valuesMissing
시설면적 has 25 (16.6%) missing valuesMissing
비상계단여부 has 151 (100.0%) missing valuesMissing
비상구여부 has 151 (100.0%) missing valuesMissing
자동환기여부 has 151 (100.0%) missing valuesMissing
청소년실여부 has 151 (100.0%) missing valuesMissing
특수조명여부 has 151 (100.0%) missing valuesMissing
방음시설여부 has 151 (100.0%) missing valuesMissing
비디오재생기명 has 151 (100.0%) missing valuesMissing
조명시설유무 has 151 (100.0%) missing valuesMissing
음향시설여부 has 151 (100.0%) missing valuesMissing
편의시설여부 has 151 (100.0%) missing valuesMissing
소방시설여부 has 151 (100.0%) missing valuesMissing
총게임기수 has 54 (35.8%) missing valuesMissing
기존게임업외업종명 has 151 (100.0%) missing valuesMissing
공연장형태구분명 has 151 (100.0%) missing valuesMissing
품목명 has 151 (100.0%) missing valuesMissing
최초등록시점 has 151 (100.0%) missing valuesMissing
지역구분명 has 145 (96.0%) 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
총게임기수 has 10 (6.6%) zerosZeros

Reproduction

Analysis started2024-04-06 11:23:06.000693
Analysis finished2024-04-06 11:23:06.989523
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
3140000
151 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3140000
2nd row3140000
3rd row3140000
4th row3140000
5th row3140000

Common Values

ValueCountFrequency (%)
3140000 151
100.0%

Length

2024-04-06T20:23:07.090781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:23:07.256307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3140000 151
100.0%

관리번호
Text

UNIQUE 

Distinct151
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-06T20:23:07.559802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3020
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

Unique151 ?
Unique (%)100.0%

Sample

1st rowCDFF2241142007000001
2nd rowCDFF2241142007000002
3rd rowCDFF2241142007000003
4th rowCDFF2241142008000001
5th rowCDFF2241142008000002
ValueCountFrequency (%)
cdff2241142007000001 1
 
0.7%
cdff2241142017000032 1
 
0.7%
cdff2241142017000015 1
 
0.7%
cdff2241142017000016 1
 
0.7%
cdff2241142017000017 1
 
0.7%
cdff2241142017000018 1
 
0.7%
cdff2241142017000019 1
 
0.7%
cdff2241142017000020 1
 
0.7%
cdff2241142017000021 1
 
0.7%
cdff2241142017000022 1
 
0.7%
Other values (141) 141
93.4%
2024-04-06T20:23:08.111608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 909
30.1%
2 517
17.1%
1 442
14.6%
4 321
 
10.6%
F 302
 
10.0%
C 151
 
5.0%
D 151
 
5.0%
7 56
 
1.9%
9 50
 
1.7%
8 47
 
1.6%
Other values (3) 74
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2416
80.0%
Uppercase Letter 604
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 909
37.6%
2 517
21.4%
1 442
18.3%
4 321
 
13.3%
7 56
 
2.3%
9 50
 
2.1%
8 47
 
1.9%
3 37
 
1.5%
6 22
 
0.9%
5 15
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
F 302
50.0%
C 151
25.0%
D 151
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2416
80.0%
Latin 604
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 909
37.6%
2 517
21.4%
1 442
18.3%
4 321
 
13.3%
7 56
 
2.3%
9 50
 
2.1%
8 47
 
1.9%
3 37
 
1.5%
6 22
 
0.9%
5 15
 
0.6%
Latin
ValueCountFrequency (%)
F 302
50.0%
C 151
25.0%
D 151
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3020
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 909
30.1%
2 517
17.1%
1 442
14.6%
4 321
 
10.6%
F 302
 
10.0%
C 151
 
5.0%
D 151
 
5.0%
7 56
 
1.9%
9 50
 
1.7%
8 47
 
1.6%
Other values (3) 74
 
2.5%

인허가일자
Date

Distinct137
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2007-11-09 00:00:00
Maximum2024-04-01 00:00:00
2024-04-06T20:23:08.648218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:23:08.860519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing132
Missing (%)87.4%
Infinite0
Infinite (%)0.0%
Mean20102768
Minimum20090313
Maximum20180618
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-06T20:23:09.023875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090313
5-th percentile20090316
Q120090868
median20091217
Q320100666
95-th percentile20153449
Maximum20180618
Range90305
Interquartile range (IQR)9797.5

Descriptive statistics

Standard deviation23409.08
Coefficient of variation (CV)0.0011644705
Kurtosis7.3090044
Mean20102768
Median Absolute Deviation (MAD)904
Skewness2.7258663
Sum3.8195259 × 108
Variance5.47985 × 108
MonotonicityNot monotonic
2024-04-06T20:23:09.231920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
20091023 1
 
0.7%
20180618 1
 
0.7%
20150430 1
 
0.7%
20110511 1
 
0.7%
20100719 1
 
0.7%
20100512 1
 
0.7%
20100612 1
 
0.7%
20100311 1
 
0.7%
20101014 1
 
0.7%
20091110 1
 
0.7%
Other values (9) 9
 
6.0%
(Missing) 132
87.4%
ValueCountFrequency (%)
20090313 1
0.7%
20090316 1
0.7%
20090331 1
0.7%
20090402 1
0.7%
20090713 1
0.7%
20091023 1
0.7%
20091027 1
0.7%
20091110 1
0.7%
20091208 1
0.7%
20091217 1
0.7%
ValueCountFrequency (%)
20180618 1
0.7%
20150430 1
0.7%
20110511 1
0.7%
20101014 1
0.7%
20100719 1
0.7%
20100612 1
0.7%
20100512 1
0.7%
20100311 1
0.7%
20100204 1
0.7%
20091217 1
0.7%

영업상태코드
Categorical

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
3
84 
4
47 
1
20 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 84
55.6%
4 47
31.1%
1 20
 
13.2%

Length

2024-04-06T20:23:09.425780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:23:09.597630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 84
55.6%
4 47
31.1%
1 20
 
13.2%

영업상태명
Categorical

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
폐업
84 
취소/말소/만료/정지/중지
47 
영업/정상
20 

Length

Max length14
Median length2
Mean length6.1324503
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 84
55.6%
취소/말소/만료/정지/중지 47
31.1%
영업/정상 20
 
13.2%

Length

2024-04-06T20:23:09.768263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:23:09.936995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 84
55.6%
취소/말소/만료/정지/중지 47
31.1%
영업/정상 20
 
13.2%

상세영업상태코드
Categorical

Distinct4
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
3
84 
35
28 
13
20 
31
19 

Length

Max length2
Median length1
Mean length1.4437086
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 84
55.6%
35 28
 
18.5%
13 20
 
13.2%
31 19
 
12.6%

Length

2024-04-06T20:23:10.111558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:23:10.279976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 84
55.6%
35 28
 
18.5%
13 20
 
13.2%
31 19
 
12.6%

상세영업상태명
Categorical

Distinct4
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
폐업
84 
직권말소
28 
영업중
20 
등록취소
19 

Length

Max length4
Median length2
Mean length2.7549669
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 84
55.6%
직권말소 28
 
18.5%
영업중 20
 
13.2%
등록취소 19
 
12.6%

Length

2024-04-06T20:23:10.448583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:23:10.608693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 84
55.6%
직권말소 28
 
18.5%
영업중 20
 
13.2%
등록취소 19
 
12.6%

폐업일자
Date

MISSING 

Distinct86
Distinct (%)76.8%
Missing39
Missing (%)25.8%
Memory size1.3 KiB
Minimum2008-05-22 00:00:00
Maximum2024-02-26 00:00:00
2024-04-06T20:23:10.798930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:23:11.009307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing151
Missing (%)100.0%
Memory size1.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing151
Missing (%)100.0%
Memory size1.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing151
Missing (%)100.0%
Memory size1.5 KiB

전화번호
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing146
Missing (%)96.7%
Memory size1.3 KiB
2024-04-06T20:23:11.234172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters45
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row2695-9587
2nd row2649-7641
3rd row2062-1120
4th row2608-5432
5th row2061-3352
ValueCountFrequency (%)
2695-9587 1
20.0%
2649-7641 1
20.0%
2062-1120 1
20.0%
2608-5432 1
20.0%
2061-3352 1
20.0%
2024-04-06T20:23:11.553684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 9
20.0%
6 6
13.3%
- 5
11.1%
5 4
8.9%
1 4
8.9%
0 4
8.9%
9 3
 
6.7%
4 3
 
6.7%
3 3
 
6.7%
8 2
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40
88.9%
Dash Punctuation 5
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 9
22.5%
6 6
15.0%
5 4
10.0%
1 4
10.0%
0 4
10.0%
9 3
 
7.5%
4 3
 
7.5%
3 3
 
7.5%
8 2
 
5.0%
7 2
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 45
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 9
20.0%
6 6
13.3%
- 5
11.1%
5 4
8.9%
1 4
8.9%
0 4
8.9%
9 3
 
6.7%
4 3
 
6.7%
3 3
 
6.7%
8 2
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 45
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 9
20.0%
6 6
13.3%
- 5
11.1%
5 4
8.9%
1 4
8.9%
0 4
8.9%
9 3
 
6.7%
4 3
 
6.7%
3 3
 
6.7%
8 2
 
4.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing151
Missing (%)100.0%
Memory size1.5 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)75.0%
Missing139
Missing (%)92.1%
Infinite0
Infinite (%)0.0%
Mean158777.75
Minimum158070
Maximum158861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-06T20:23:11.693557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum158070
5-th percentile158477.55
Q1158824
median158838.5
Q3158859.5
95-th percentile158861
Maximum158861
Range791
Interquartile range (IQR)35.5

Descriptive statistics

Standard deviation223.63246
Coefficient of variation (CV)0.0014084622
Kurtosis11.791799
Mean158777.75
Median Absolute Deviation (MAD)20.5
Skewness-3.4226965
Sum1905333
Variance50011.477
MonotonicityNot monotonic
2024-04-06T20:23:11.878764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
158861 3
 
2.0%
158831 2
 
1.3%
158846 1
 
0.7%
158818 1
 
0.7%
158070 1
 
0.7%
158826 1
 
0.7%
158859 1
 
0.7%
158811 1
 
0.7%
158858 1
 
0.7%
(Missing) 139
92.1%
ValueCountFrequency (%)
158070 1
 
0.7%
158811 1
 
0.7%
158818 1
 
0.7%
158826 1
 
0.7%
158831 2
1.3%
158846 1
 
0.7%
158858 1
 
0.7%
158859 1
 
0.7%
158861 3
2.0%
ValueCountFrequency (%)
158861 3
2.0%
158859 1
 
0.7%
158858 1
 
0.7%
158846 1
 
0.7%
158831 2
1.3%
158826 1
 
0.7%
158818 1
 
0.7%
158811 1
 
0.7%
158070 1
 
0.7%

지번주소
Text

Distinct141
Distinct (%)94.0%
Missing1
Missing (%)0.7%
Memory size1.3 KiB
2024-04-06T20:23:12.327121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length38
Mean length25.68
Min length18

Characters and Unicode

Total characters3852
Distinct characters91
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

Unique132 ?
Unique (%)88.0%

Sample

1st row서울특별시 양천구 목동 907-23번지 현대파크빌 지층102
2nd row서울특별시 양천구 목동 907 현대월드타워 지1층
3rd row서울특별시 양천구 신월동 235-7번지 샤르망오피스텔상가 107호
4th row서울특별시 양천구 신월동 962-3번지 1층 107호
5th row서울특별시 양천구 목동 788-1번지 201호
ValueCountFrequency (%)
서울특별시 150
20.3%
양천구 150
20.3%
신정동 59
 
8.0%
신월동 50
 
6.8%
목동 42
 
5.7%
2층 22
 
3.0%
지하1층 21
 
2.8%
1층 20
 
2.7%
235-7번지 6
 
0.8%
지층 5
 
0.7%
Other values (177) 215
29.1%
2024-04-06T20:23:13.035253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
691
17.9%
1 247
 
6.4%
동 163
 
4.2%
구 151
 
3.9%
서 150
 
3.9%
특 150
 
3.9%
별 150
 
3.9%
시 150
 
3.9%
양 150
 
3.9%
천 150
 
3.9%
Other values (81) 1700
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2125
55.2%
Decimal Number 877
22.8%
Space Separator 691
 
17.9%
Dash Punctuation 146
 
3.8%
Other Punctuation 9
 
0.2%
Uppercase Letter 2
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 163
 
7.7%
구 151
 
7.1%
서 150
 
7.1%
특 150
 
7.1%
별 150
 
7.1%
시 150
 
7.1%
양 150
 
7.1%
천 150
 
7.1%
울 150
 
7.1%
지 125
 
5.9%
Other values (64) 636
29.9%
Decimal Number
ValueCountFrequency (%)
1 247
28.2%
2 120
13.7%
0 91
 
10.4%
3 83
 
9.5%
9 73
 
8.3%
7 69
 
7.9%
5 54
 
6.2%
4 50
 
5.7%
8 48
 
5.5%
6 42
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 7
77.8%
. 2
 
22.2%
Space Separator
ValueCountFrequency (%)
691
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 146
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2125
55.2%
Common 1725
44.8%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 163
 
7.7%
구 151
 
7.1%
서 150
 
7.1%
특 150
 
7.1%
별 150
 
7.1%
시 150
 
7.1%
양 150
 
7.1%
천 150
 
7.1%
울 150
 
7.1%
지 125
 
5.9%
Other values (64) 636
29.9%
Common
ValueCountFrequency (%)
691
40.1%
1 247
 
14.3%
- 146
 
8.5%
2 120
 
7.0%
0 91
 
5.3%
3 83
 
4.8%
9 73
 
4.2%
7 69
 
4.0%
5 54
 
3.1%
4 50
 
2.9%
Other values (6) 101
 
5.9%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2125
55.2%
ASCII 1727
44.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
691
40.0%
1 247
 
14.3%
- 146
 
8.5%
2 120
 
6.9%
0 91
 
5.3%
3 83
 
4.8%
9 73
 
4.2%
7 69
 
4.0%
5 54
 
3.1%
4 50
 
2.9%
Other values (7) 103
 
6.0%
Hangul
ValueCountFrequency (%)
동 163
 
7.7%
구 151
 
7.1%
서 150
 
7.1%
특 150
 
7.1%
별 150
 
7.1%
시 150
 
7.1%
양 150
 
7.1%
천 150
 
7.1%
울 150
 
7.1%
지 125
 
5.9%
Other values (64) 636
29.9%

도로명주소
Text

Distinct142
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-06T20:23:13.377259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length43
Mean length30.602649
Min length22

Characters and Unicode

Total characters4621
Distinct characters111
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique133 ?
Unique (%)88.1%

Sample

1st row서울특별시 양천구 목동동로 391 (목동,현대파크빌 지층102)
2nd row서울특별시 양천구 목동서로 77 (목동)
3rd row서울특별시 양천구 월정로 101, 107호 (신월동,샤르망오피스텔상가)
4th row서울특별시 양천구 남부순환로70길 20-10, 107호 (신월동,1층)
5th row서울특별시 양천구 등촌로 46, 201호 (목동)
ValueCountFrequency (%)
서울특별시 151
 
17.1%
양천구 151
 
17.1%
1층 40
 
4.5%
목동 31
 
3.5%
신월동 30
 
3.4%
신정동 30
 
3.4%
중앙로 17
 
1.9%
월정로 12
 
1.4%
신월로 11
 
1.2%
신정동,2층 10
 
1.1%
Other values (210) 398
45.2%
2024-04-06T20:23:13.942626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
794
 
17.2%
1 238
 
5.2%
동 214
 
4.6%
서 164
 
3.5%
, 160
 
3.5%
양 159
 
3.4%
로 159
 
3.4%
시 152
 
3.3%
구 152
 
3.3%
) 152
 
3.3%
Other values (101) 2277
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2658
57.5%
Space Separator 794
 
17.2%
Decimal Number 681
 
14.7%
Other Punctuation 162
 
3.5%
Close Punctuation 152
 
3.3%
Open Punctuation 152
 
3.3%
Dash Punctuation 16
 
0.3%
Lowercase Letter 4
 
0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 214
 
8.1%
서 164
 
6.2%
양 159
 
6.0%
로 159
 
6.0%
시 152
 
5.7%
구 152
 
5.7%
천 151
 
5.7%
울 151
 
5.7%
특 151
 
5.7%
별 151
 
5.7%
Other values (83) 1054
39.7%
Decimal Number
ValueCountFrequency (%)
1 238
34.9%
2 103
15.1%
0 69
 
10.1%
3 54
 
7.9%
5 52
 
7.6%
6 44
 
6.5%
7 39
 
5.7%
4 39
 
5.7%
8 23
 
3.4%
9 20
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 160
98.8%
. 2
 
1.2%
Space Separator
ValueCountFrequency (%)
794
100.0%
Close Punctuation
ValueCountFrequency (%)
) 152
100.0%
Open Punctuation
ValueCountFrequency (%)
( 152
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Lowercase Letter
ValueCountFrequency (%)
l 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2658
57.5%
Common 1957
42.4%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 214
 
8.1%
서 164
 
6.2%
양 159
 
6.0%
로 159
 
6.0%
시 152
 
5.7%
구 152
 
5.7%
천 151
 
5.7%
울 151
 
5.7%
특 151
 
5.7%
별 151
 
5.7%
Other values (83) 1054
39.7%
Common
ValueCountFrequency (%)
794
40.6%
1 238
 
12.2%
, 160
 
8.2%
) 152
 
7.8%
( 152
 
7.8%
2 103
 
5.3%
0 69
 
3.5%
3 54
 
2.8%
5 52
 
2.7%
6 44
 
2.2%
Other values (6) 139
 
7.1%
Latin
ValueCountFrequency (%)
l 4
66.7%
B 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2658
57.5%
ASCII 1963
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
794
40.4%
1 238
 
12.1%
, 160
 
8.2%
) 152
 
7.7%
( 152
 
7.7%
2 103
 
5.2%
0 69
 
3.5%
3 54
 
2.8%
5 52
 
2.6%
6 44
 
2.2%
Other values (8) 145
 
7.4%
Hangul
ValueCountFrequency (%)
동 214
 
8.1%
서 164
 
6.2%
양 159
 
6.0%
로 159
 
6.0%
시 152
 
5.7%
구 152
 
5.7%
천 151
 
5.7%
울 151
 
5.7%
특 151
 
5.7%
별 151
 
5.7%
Other values (83) 1054
39.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)54.9%
Missing60
Missing (%)39.7%
Infinite0
Infinite (%)0.0%
Mean19597.242
Minimum7903
Maximum158859
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-06T20:23:14.147545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7903
5-th percentile7910.5
Q17938.5
median7999
Q38073
95-th percentile158825
Maximum158859
Range150956
Interquartile range (IQR)134.5

Descriptive statistics

Standard deviation40418.329
Coefficient of variation (CV)2.0624499
Kurtosis8.6146079
Mean19597.242
Median Absolute Deviation (MAD)63
Skewness3.2288831
Sum1783349
Variance1.6336413 × 109
MonotonicityNot monotonic
2024-04-06T20:23:14.401337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8082 7
 
4.6%
8007 5
 
3.3%
8093 4
 
2.6%
7966 4
 
2.6%
7925 4
 
2.6%
7911 3
 
2.0%
7922 3
 
2.0%
7938 3
 
2.0%
8073 3
 
2.0%
7983 3
 
2.0%
Other values (40) 52
34.4%
(Missing) 60
39.7%
ValueCountFrequency (%)
7903 1
 
0.7%
7905 1
 
0.7%
7907 2
1.3%
7910 1
 
0.7%
7911 3
2.0%
7920 1
 
0.7%
7922 3
2.0%
7923 2
1.3%
7924 1
 
0.7%
7925 4
2.6%
ValueCountFrequency (%)
158859 1
 
0.7%
158857 1
 
0.7%
158856 1
 
0.7%
158831 2
1.3%
158819 2
1.3%
8104 1
 
0.7%
8096 1
 
0.7%
8095 1
 
0.7%
8093 4
2.6%
8086 1
 
0.7%

사업장명
Text

Distinct133
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-06T20:23:14.881783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length6.1721854
Min length2

Characters and Unicode

Total characters932
Distinct characters208
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique119 ?
Unique (%)78.8%

Sample

1st row메가플스 목동2호점
2nd row목동G-스타디움
3rd row샤르망게임랜드
4th row우성오락실
5th row월드시리즈(목동점)
ValueCountFrequency (%)
목동게임랜드 4
 
2.1%
인형뽑기 4
 
2.1%
플레이스퀘어 4
 
2.1%
게임랜드 4
 
2.1%
신월게임랜드 3
 
1.6%
인형뽑기방 3
 
1.6%
뽑기방 3
 
1.6%
뽑캉스 2
 
1.1%
게임장 2
 
1.1%
뽑기의 2
 
1.1%
Other values (146) 158
83.6%
2024-04-06T20:23:15.735371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
임 67
 
7.2%
게 66
 
7.1%
드 52
 
5.6%
랜 47
 
5.0%
38
 
4.1%
뽑 36
 
3.9%
기 27
 
2.9%
스 24
 
2.6%
이 24
 
2.6%
인 20
 
2.1%
Other values (198) 531
57.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 800
85.8%
Uppercase Letter 57
 
6.1%
Space Separator 38
 
4.1%
Lowercase Letter 19
 
2.0%
Decimal Number 6
 
0.6%
Close Punctuation 4
 
0.4%
Open Punctuation 4
 
0.4%
Dash Punctuation 2
 
0.2%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
임 67
 
8.4%
게 66
 
8.2%
드 52
 
6.5%
랜 47
 
5.9%
뽑 36
 
4.5%
기 27
 
3.4%
스 24
 
3.0%
이 24
 
3.0%
인 20
 
2.5%
목 18
 
2.2%
Other values (153) 419
52.4%
Uppercase Letter
ValueCountFrequency (%)
G 6
 
10.5%
E 5
 
8.8%
O 5
 
8.8%
B 5
 
8.8%
P 4
 
7.0%
N 3
 
5.3%
U 3
 
5.3%
S 3
 
5.3%
A 3
 
5.3%
D 2
 
3.5%
Other values (12) 18
31.6%
Lowercase Letter
ValueCountFrequency (%)
r 2
10.5%
o 2
10.5%
d 2
10.5%
s 2
10.5%
a 2
10.5%
e 2
10.5%
u 1
 
5.3%
v 1
 
5.3%
z 1
 
5.3%
n 1
 
5.3%
Other values (3) 3
15.8%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
4 2
33.3%
2 1
16.7%
3 1
16.7%
Other Punctuation
ValueCountFrequency (%)
! 1
50.0%
? 1
50.0%
Space Separator
ValueCountFrequency (%)
38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 800
85.8%
Latin 76
 
8.2%
Common 56
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
임 67
 
8.4%
게 66
 
8.2%
드 52
 
6.5%
랜 47
 
5.9%
뽑 36
 
4.5%
기 27
 
3.4%
스 24
 
3.0%
이 24
 
3.0%
인 20
 
2.5%
목 18
 
2.2%
Other values (153) 419
52.4%
Latin
ValueCountFrequency (%)
G 6
 
7.9%
E 5
 
6.6%
O 5
 
6.6%
B 5
 
6.6%
P 4
 
5.3%
N 3
 
3.9%
U 3
 
3.9%
S 3
 
3.9%
A 3
 
3.9%
D 2
 
2.6%
Other values (25) 37
48.7%
Common
ValueCountFrequency (%)
38
67.9%
) 4
 
7.1%
( 4
 
7.1%
- 2
 
3.6%
1 2
 
3.6%
4 2
 
3.6%
! 1
 
1.8%
2 1
 
1.8%
? 1
 
1.8%
3 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 800
85.8%
ASCII 132
 
14.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
임 67
 
8.4%
게 66
 
8.2%
드 52
 
6.5%
랜 47
 
5.9%
뽑 36
 
4.5%
기 27
 
3.4%
스 24
 
3.0%
이 24
 
3.0%
인 20
 
2.5%
목 18
 
2.2%
Other values (153) 419
52.4%
ASCII
ValueCountFrequency (%)
38
28.8%
G 6
 
4.5%
E 5
 
3.8%
O 5
 
3.8%
B 5
 
3.8%
P 4
 
3.0%
) 4
 
3.0%
( 4
 
3.0%
N 3
 
2.3%
U 3
 
2.3%
Other values (35) 55
41.7%

최종수정일자
Date

UNIQUE 

Distinct151
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2008-08-25 08:01:26
Maximum2024-04-01 17:35:31
2024-04-06T20:23:15.958987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:23:16.165412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
I
84 
U
66 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
I 84
55.6%
U 66
43.7%
D 1
 
0.7%

Length

2024-04-06T20:23:16.397951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:23:16.555607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 84
55.6%
u 66
43.7%
d 1
 
0.7%

데이터갱신일자
Date

Distinct46
Distinct (%)30.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:03:00
2024-04-06T20:23:16.723530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:23:16.959094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing151
Missing (%)100.0%
Memory size1.5 KiB

좌표정보(X)
Real number (ℝ)

Distinct116
Distinct (%)76.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean187013.88
Minimum184703.49
Maximum189348.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-06T20:23:17.213386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum184703.49
5-th percentile185080.25
Q1185733.38
median187133.7
Q3187943.65
95-th percentile189003.24
Maximum189348.37
Range4644.8839
Interquartile range (IQR)2210.2757

Descriptive statistics

Standard deviation1281.8549
Coefficient of variation (CV)0.0068543302
Kurtosis-1.0699473
Mean187013.88
Median Absolute Deviation (MAD)958.31623
Skewness-0.11546054
Sum28239096
Variance1643152
MonotonicityNot monotonic
2024-04-06T20:23:17.419586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
185692.551545586 8
 
5.3%
185972.226069752 3
 
2.0%
186925.884838357 3
 
2.0%
187923.919592336 3
 
2.0%
185247.273376308 2
 
1.3%
186009.348428578 2
 
1.3%
187453.424236051 2
 
1.3%
185980.04646121 2
 
1.3%
187554.286021883 2
 
1.3%
188688.452268514 2
 
1.3%
Other values (106) 122
80.8%
ValueCountFrequency (%)
184703.488585198 1
0.7%
184716.444911673 2
1.3%
184758.160681476 1
0.7%
184889.633488774 1
0.7%
184952.58622774 1
0.7%
184994.951717186 1
0.7%
185074.610285486 1
0.7%
185085.891563011 1
0.7%
185094.060622826 1
0.7%
185099.7875285 1
0.7%
ValueCountFrequency (%)
189348.372526225 2
1.3%
189278.59 1
0.7%
189151.208015925 1
0.7%
189084.518748788 1
0.7%
189048.390462766 1
0.7%
189031.829869484 1
0.7%
189021.797866206 1
0.7%
188984.674788495 1
0.7%
188977.171050288 1
0.7%
188954.524397407 1
0.7%

좌표정보(Y)
Real number (ℝ)

Distinct116
Distinct (%)76.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean447250.17
Minimum445155.08
Maximum449785.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-06T20:23:17.671015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum445155.08
5-th percentile446127.78
Q1446567.17
median447131.34
Q3447846.39
95-th percentile449210.39
Maximum449785.23
Range4630.1462
Interquartile range (IQR)1279.2218

Descriptive statistics

Standard deviation912.12115
Coefficient of variation (CV)0.0020393981
Kurtosis0.17996804
Mean447250.17
Median Absolute Deviation (MAD)624.13412
Skewness0.63674687
Sum67534776
Variance831965
MonotonicityNot monotonic
2024-04-06T20:23:17.956491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447374.522041433 8
 
5.3%
446335.561835551 3
 
2.0%
446522.764708979 3
 
2.0%
447850.891096367 3
 
2.0%
447726.26641481 2
 
1.3%
446302.275471851 2
 
1.3%
447095.743191498 2
 
1.3%
446313.189516294 2
 
1.3%
447201.009318299 2
 
1.3%
449367.593557586 2
 
1.3%
Other values (106) 122
80.8%
ValueCountFrequency (%)
445155.081213627 1
0.7%
445226.553879059 1
0.7%
445782.650926649 1
0.7%
445935.780018413 1
0.7%
445959.667219293 2
1.3%
445962.272968839 1
0.7%
446106.372542662 1
0.7%
446149.197185122 1
0.7%
446282.381840537 1
0.7%
446293.944517244 2
1.3%
ValueCountFrequency (%)
449785.227427003 1
0.7%
449701.802558519 1
0.7%
449596.032762384 1
0.7%
449375.443881482 1
0.7%
449367.593557586 2
1.3%
449250.294401749 1
0.7%
449220.732179428 1
0.7%
449200.048120921 1
0.7%
448754.83859055 1
0.7%
448744.084338608 1
0.7%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
청소년게임제공업
126 
<NA>
25 

Length

Max length8
Median length8
Mean length7.3377483
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청소년게임제공업 126
83.4%
<NA> 25
 
16.6%

Length

2024-04-06T20:23:18.224999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:23:18.417186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청소년게임제공업 126
83.4%
na 25
 
16.6%

문화사업자구분명
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
유통관련업
126 
<NA>
25 

Length

Max length5
Median length5
Mean length4.8344371
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 126
83.4%
<NA> 25
 
16.6%

Length

2024-04-06T20:23:18.983552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:23:19.183990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 126
83.4%
na 25
 
16.6%

총층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
124 
0
23 
2
 
1
4
 
1
3
 
1

Length

Max length4
Median length4
Mean length3.4701987
Min length1

Unique

Unique4 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 124
82.1%
0 23
 
15.2%
2 1
 
0.7%
4 1
 
0.7%
3 1
 
0.7%
11 1
 
0.7%

Length

2024-04-06T20:23:19.348158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:23:19.523381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 124
82.1%
0 23
 
15.2%
2 1
 
0.7%
4 1
 
0.7%
3 1
 
0.7%
11 1
 
0.7%

주변환경명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
146 
기타
 
5

Length

Max length4
Median length4
Mean length3.9337748
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 146
96.7%
기타 5
 
3.3%

Length

2024-04-06T20:23:19.782413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:23:19.950547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 146
96.7%
기타 5
 
3.3%

제작취급품목내용
Text

MISSING 

Distinct82
Distinct (%)100.0%
Missing69
Missing (%)45.7%
Memory size1.3 KiB
2024-04-06T20:23:20.206422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length32
Mean length15.804878
Min length3

Characters and Unicode

Total characters1296
Distinct characters217
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)100.0%

Sample

1st row물바다 40대(우리전자)
2nd row알파벳인베이터2
3rd row무안12대전
4th row빙하탐험
5th row아토믹서브마린
ValueCountFrequency (%)
1대 7
 
4.3%
짱 3
 
1.8%
2대 3
 
1.8%
뉴 2
 
1.2%
box(2대 2
 
1.2%
플러스크레인 2
 
1.2%
뽀끼뽀끼2 2
 
1.2%
32대 2
 
1.2%
7대 2
 
1.2%
토이즈팝 2
 
1.2%
Other values (131) 136
83.4%
2024-04-06T20:23:20.918057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 88
 
6.8%
81
 
6.2%
, 68
 
5.2%
이 46
 
3.5%
1 45
 
3.5%
스 38
 
2.9%
2 37
 
2.9%
) 31
 
2.4%
( 31
 
2.4%
토 24
 
1.9%
Other values (207) 807
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 813
62.7%
Decimal Number 144
 
11.1%
Uppercase Letter 96
 
7.4%
Space Separator 81
 
6.2%
Other Punctuation 76
 
5.9%
Close Punctuation 31
 
2.4%
Open Punctuation 31
 
2.4%
Dash Punctuation 14
 
1.1%
Lowercase Letter 10
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 88
 
10.8%
이 46
 
5.7%
스 38
 
4.7%
토 24
 
3.0%
코 22
 
2.7%
아 22
 
2.7%
인 21
 
2.6%
크 20
 
2.5%
레 20
 
2.5%
트 19
 
2.3%
Other values (163) 493
60.6%
Uppercase Letter
ValueCountFrequency (%)
R 11
11.5%
E 9
 
9.4%
A 8
 
8.3%
N 8
 
8.3%
T 8
 
8.3%
U 7
 
7.3%
C 7
 
7.3%
O 5
 
5.2%
P 5
 
5.2%
M 4
 
4.2%
Other values (11) 24
25.0%
Decimal Number
ValueCountFrequency (%)
1 45
31.2%
2 37
25.7%
0 15
 
10.4%
4 13
 
9.0%
3 10
 
6.9%
7 9
 
6.2%
5 8
 
5.6%
6 4
 
2.8%
8 2
 
1.4%
9 1
 
0.7%
Lowercase Letter
ValueCountFrequency (%)
e 2
20.0%
a 2
20.0%
r 2
20.0%
n 2
20.0%
o 1
10.0%
x 1
10.0%
Other Punctuation
ValueCountFrequency (%)
, 68
89.5%
/ 7
 
9.2%
. 1
 
1.3%
Space Separator
ValueCountFrequency (%)
81
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 813
62.7%
Common 377
29.1%
Latin 106
 
8.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 88
 
10.8%
이 46
 
5.7%
스 38
 
4.7%
토 24
 
3.0%
코 22
 
2.7%
아 22
 
2.7%
인 21
 
2.6%
크 20
 
2.5%
레 20
 
2.5%
트 19
 
2.3%
Other values (163) 493
60.6%
Latin
ValueCountFrequency (%)
R 11
 
10.4%
E 9
 
8.5%
A 8
 
7.5%
N 8
 
7.5%
T 8
 
7.5%
U 7
 
6.6%
C 7
 
6.6%
O 5
 
4.7%
P 5
 
4.7%
M 4
 
3.8%
Other values (17) 34
32.1%
Common
ValueCountFrequency (%)
81
21.5%
, 68
18.0%
1 45
11.9%
2 37
9.8%
) 31
 
8.2%
( 31
 
8.2%
0 15
 
4.0%
- 14
 
3.7%
4 13
 
3.4%
3 10
 
2.7%
Other values (7) 32
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 813
62.7%
ASCII 483
37.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 88
 
10.8%
이 46
 
5.7%
스 38
 
4.7%
토 24
 
3.0%
코 22
 
2.7%
아 22
 
2.7%
인 21
 
2.6%
크 20
 
2.5%
레 20
 
2.5%
트 19
 
2.3%
Other values (163) 493
60.6%
ASCII
ValueCountFrequency (%)
81
16.8%
, 68
14.1%
1 45
 
9.3%
2 37
 
7.7%
) 31
 
6.4%
( 31
 
6.4%
0 15
 
3.1%
- 14
 
2.9%
4 13
 
2.7%
R 11
 
2.3%
Other values (34) 137
28.4%

시설면적
Real number (ℝ)

MISSING 

Distinct104
Distinct (%)82.5%
Missing25
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean93.975
Minimum15.01
Maximum248.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-06T20:23:21.164000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15.01
5-th percentile25
Q141.4825
median80.555
Q3138.3
95-th percentile208.07
Maximum248.4
Range233.39
Interquartile range (IQR)96.8175

Descriptive statistics

Standard deviation60.390969
Coefficient of variation (CV)0.64262803
Kurtosis-0.4265622
Mean93.975
Median Absolute Deviation (MAD)47.555
Skewness0.68735889
Sum11840.85
Variance3647.0692
MonotonicityNot monotonic
2024-04-06T20:23:21.434380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 5
 
3.3%
114.05 2
 
1.3%
30.0 2
 
1.3%
79.34 2
 
1.3%
25.0 2
 
1.3%
92.89 2
 
1.3%
169.65 2
 
1.3%
26.4 2
 
1.3%
113.06 2
 
1.3%
138.3 2
 
1.3%
Other values (94) 103
68.2%
(Missing) 25
 
16.6%
ValueCountFrequency (%)
15.01 1
0.7%
15.11 1
0.7%
20.52 1
0.7%
23.1 1
0.7%
23.14 1
0.7%
24.0 1
0.7%
25.0 2
1.3%
26.4 2
1.3%
26.5 1
0.7%
28.4 1
0.7%
ValueCountFrequency (%)
248.4 1
0.7%
238.65 1
0.7%
238.48 1
0.7%
237.93 2
1.3%
209.4 1
0.7%
209.24 1
0.7%
204.56 1
0.7%
191.86 1
0.7%
186.4 1
0.7%
182.42 1
0.7%

지상층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
118 
0
22 
1
 
6
2
 
3
3
 
1

Length

Max length4
Median length4
Mean length3.3443709
Min length1

Unique

Unique2 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 118
78.1%
0 22
 
14.6%
1 6
 
4.0%
2 3
 
2.0%
3 1
 
0.7%
9 1
 
0.7%

Length

2024-04-06T20:23:21.696393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:23:21.970660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 118
78.1%
0 22
 
14.6%
1 6
 
4.0%
2 3
 
2.0%
3 1
 
0.7%
9 1
 
0.7%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
123 
0
23 
1
 
4
2
 
1

Length

Max length4
Median length4
Mean length3.4437086
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> 123
81.5%
0 23
 
15.2%
1 4
 
2.6%
2 1
 
0.7%

Length

2024-04-06T20:23:22.163546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:23:22.370490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 123
81.5%
0 23
 
15.2%
1 4
 
2.6%
2 1
 
0.7%

건물용도명
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
143 
근린생활시설
 
7
판매시설
 
1

Length

Max length6
Median length4
Mean length4.0927152
Min length4

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> 143
94.7%
근린생활시설 7
 
4.6%
판매시설 1
 
0.7%

Length

2024-04-06T20:23:22.562276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:23:22.751116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 143
94.7%
근린생활시설 7
 
4.6%
판매시설 1
 
0.7%

통로너비
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
127 
0
24 

Length

Max length4
Median length4
Mean length3.5231788
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 127
84.1%
0 24
 
15.9%

Length

2024-04-06T20:23:22.938908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:23:23.137726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 127
84.1%
0 24
 
15.9%

조명시설조도
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
127 
0
24 

Length

Max length4
Median length4
Mean length3.5231788
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 127
84.1%
0 24
 
15.9%

Length

2024-04-06T20:23:23.367620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:23:23.557259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 127
84.1%
0 24
 
15.9%

노래방실수
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
127 
0
24 

Length

Max length4
Median length4
Mean length3.5231788
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 127
84.1%
0 24
 
15.9%

Length

2024-04-06T20:23:23.731422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:23:23.909248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 127
84.1%
0 24
 
15.9%

청소년실수
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
127 
0
24 

Length

Max length4
Median length4
Mean length3.5231788
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 127
84.1%
0 24
 
15.9%

Length

2024-04-06T20:23:24.121294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:23:24.336777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 127
84.1%
0 24
 
15.9%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing151
Missing (%)100.0%
Memory size1.5 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing151
Missing (%)100.0%
Memory size1.5 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing151
Missing (%)100.0%
Memory size1.5 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing151
Missing (%)100.0%
Memory size1.5 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing151
Missing (%)100.0%
Memory size1.5 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing151
Missing (%)100.0%
Memory size1.5 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing151
Missing (%)100.0%
Memory size1.5 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing151
Missing (%)100.0%
Memory size1.5 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing151
Missing (%)100.0%
Memory size1.5 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing151
Missing (%)100.0%
Memory size1.5 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing151
Missing (%)100.0%
Memory size1.5 KiB

총게임기수
Real number (ℝ)

MISSING  ZEROS 

Distinct34
Distinct (%)35.1%
Missing54
Missing (%)35.8%
Infinite0
Infinite (%)0.0%
Mean25.628866
Minimum0
Maximum80
Zeros10
Zeros (%)6.6%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-06T20:23:24.507649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median30
Q340
95-th percentile50
Maximum80
Range80
Interquartile range (IQR)30

Descriptive statistics

Standard deviation17.861924
Coefficient of variation (CV)0.69694554
Kurtosis-0.65473053
Mean25.628866
Median Absolute Deviation (MAD)16
Skewness0.28878151
Sum2486
Variance319.04832
MonotonicityNot monotonic
2024-04-06T20:23:24.837334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
40 17
 
11.3%
0 10
 
6.6%
30 7
 
4.6%
10 6
 
4.0%
50 5
 
3.3%
35 5
 
3.3%
12 4
 
2.6%
7 4
 
2.6%
6 3
 
2.0%
15 3
 
2.0%
Other values (24) 33
21.9%
(Missing) 54
35.8%
ValueCountFrequency (%)
0 10
6.6%
5 1
 
0.7%
6 3
 
2.0%
7 4
 
2.6%
8 2
 
1.3%
9 2
 
1.3%
10 6
4.0%
11 1
 
0.7%
12 4
 
2.6%
13 2
 
1.3%
ValueCountFrequency (%)
80 1
 
0.7%
60 2
 
1.3%
56 1
 
0.7%
50 5
 
3.3%
48 2
 
1.3%
45 2
 
1.3%
44 1
 
0.7%
41 1
 
0.7%
40 17
11.3%
39 1
 
0.7%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing151
Missing (%)100.0%
Memory size1.5 KiB

제공게임물명
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
전체이용가
120 
<NA>
30 
청소년이용불가
 
1

Length

Max length7
Median length5
Mean length4.8145695
Min length4

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
전체이용가 120
79.5%
<NA> 30
 
19.9%
청소년이용불가 1
 
0.7%

Length

2024-04-06T20:23:25.201225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:23:25.480852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체이용가 120
79.5%
na 30
 
19.9%
청소년이용불가 1
 
0.7%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing151
Missing (%)100.0%
Memory size1.5 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing151
Missing (%)100.0%
Memory size1.5 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing151
Missing (%)100.0%
Memory size1.5 KiB

지역구분명
Text

MISSING 

Distinct3
Distinct (%)50.0%
Missing145
Missing (%)96.0%
Memory size1.3 KiB
2024-04-06T20:23:25.677883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.6666667
Min length4

Characters and Unicode

Total characters34
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)16.7%

Sample

1st row주거지역
2nd row일반주거지역
3rd row일반주거지역
4th row일반주거지역
5th row근린상업지역
ValueCountFrequency (%)
일반주거지역 3
50.0%
근린상업지역 2
33.3%
주거지역 1
 
16.7%
2024-04-06T20:23:26.226023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 6
17.6%
역 6
17.6%
주 4
11.8%
거 4
11.8%
일 3
8.8%
반 3
8.8%
근 2
 
5.9%
린 2
 
5.9%
상 2
 
5.9%
업 2
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 6
17.6%
역 6
17.6%
주 4
11.8%
거 4
11.8%
일 3
8.8%
반 3
8.8%
근 2
 
5.9%
린 2
 
5.9%
상 2
 
5.9%
업 2
 
5.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 6
17.6%
역 6
17.6%
주 4
11.8%
거 4
11.8%
일 3
8.8%
반 3
8.8%
근 2
 
5.9%
린 2
 
5.9%
상 2
 
5.9%
업 2
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 6
17.6%
역 6
17.6%
주 4
11.8%
거 4
11.8%
일 3
8.8%
반 3
8.8%
근 2
 
5.9%
린 2
 
5.9%
상 2
 
5.9%
업 2
 
5.9%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03140000CDFF224114200700000120071109<NA>3폐업3폐업20130902<NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 907-23번지 현대파크빌 지층102서울특별시 양천구 목동동로 391 (목동,현대파크빌 지층102)<NA>메가플스 목동2호점2013-09-02 16:48:46I2018-08-31 23:59:59.0<NA>189348.372526448186.414032청소년게임제공업유통관련업<NA><NA><NA>176.25<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>27<NA>전체이용가<NA><NA><NA><NA>
13140000CDFF224114200700000220071115<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 907 현대월드타워 지1층서울특별시 양천구 목동서로 77 (목동)7983목동G-스타디움2022-11-09 20:30:18U2021-10-31 23:01:00.0<NA>189151.208016448200.067717<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>
23140000CDFF224114200700000320071212200911104취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신월동 235-7번지 샤르망오피스텔상가 107호서울특별시 양천구 월정로 101, 107호 (신월동,샤르망오피스텔상가)<NA>샤르망게임랜드2009-11-24 10:42:12I2018-08-31 23:59:59.0<NA>185692.551546447374.522041청소년게임제공업유통관련업<NA><NA><NA>47.98<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>30<NA>전체이용가<NA><NA><NA><NA>
33140000CDFF224114200800000120080104<NA>3폐업3폐업20090121<NA><NA><NA>2695-9587<NA>158846서울특별시 양천구 신월동 962-3번지 1층 107호서울특별시 양천구 남부순환로70길 20-10, 107호 (신월동,1층)<NA>우성오락실2009-01-22 10:38:32I2018-08-31 23:59:59.0<NA>185274.196794446699.696702청소년게임제공업유통관련업<NA><NA><NA>28.641<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>13<NA><NA><NA><NA><NA><NA>
43140000CDFF224114200800000220080212<NA>3폐업3폐업20080522<NA><NA><NA><NA><NA>158818서울특별시 양천구 목동 788-1번지 201호서울특별시 양천구 등촌로 46, 201호 (목동)<NA>월드시리즈(목동점)2008-09-12 17:38:19I2018-08-31 23:59:59.0<NA>187897.979059447962.426929청소년게임제공업유통관련업<NA><NA><NA>130.78<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>
53140000CDFF224114200800000320080318<NA>4취소/말소/만료/정지/중지35직권말소20220711<NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 917-6 행복한세상백화점 6층서울특별시 양천구 목동동로 309 (목동,행복한세상백화점 6층)7997탑게임2022-08-04 10:32:12U2021-12-08 00:06:00.0<NA>188977.17105447466.355031<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>
63140000CDFF224114200800000420080417200910234취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신월동 235-7번지 신목동샤르망오피스텔 1층 104호서울특별시 양천구 월정로 101, 104호 (신월동,신목동샤르망오피스텔 1층)<NA>신월게임랜드2009-12-09 16:54:33I2018-08-31 23:59:59.0<NA>185692.551546447374.522041청소년게임제공업유통관련업<NA><NA><NA>52.011<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>30<NA>전체이용가<NA><NA><NA><NA>
73140000CDFF224114200800000520080428<NA>3폐업3폐업20091022<NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 1183-3번지 1층서울특별시 양천구 중앙로 267 (신정동,1층)<NA>신정게임랜드2009-10-23 09:13:15I2018-08-31 23:59:59.0<NA>186889.944225446440.340499청소년게임제공업유통관련업<NA><NA><NA>143.8<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>
83140000CDFF224114200800000620080514<NA>3폐업3폐업20080822<NA><NA><NA><NA><NA>158861서울특별시 양천구 신정동 1028-25번지 1층서울특별시 양천구 신월로 312-1 (신정동,1층)<NA>아쿠아마린2008-08-25 08:01:26I2018-08-31 23:59:59.0<NA>187166.492517446554.310109청소년게임제공업유통관련업<NA><NA><NA>75.27<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>35<NA>전체이용가<NA><NA><NA><NA>
93140000CDFF224114200800000720080520<NA>3폐업3폐업20100222<NA><NA><NA>2649-7641<NA><NA>서울특별시 양천구 신정동 171-25번지 1층서울특별시 양천구 목동남로4길 56 (신정동,1층)<NA>하나청소년게임장2010-02-22 13:57:15I2018-08-31 23:59:59.0<NA>188209.015485445226.553879청소년게임제공업유통관련업<NA><NA><NA>55.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>25<NA>전체이용가<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
1413140000CDFF224114202000000120200213<NA>3폐업3폐업20200616<NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 1031-1서울특별시 양천구 중앙로 276, 지하층 (신정동)8082월드게임랜드2020-06-25 15:15:58U2020-06-27 02:40:00.0<NA>186925.884838446522.764709청소년게임제공업유통관련업<NA><NA><NA>238.65<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>
1423140000CDFF224114202000000220200803<NA>3폐업3폐업20220829<NA><NA><NA><NA><NA><NA>서울특별시 양천구 신월동 124-24서울특별시 양천구 곰달래로5길 22 (신월동)7923인형뽑기방2022-08-29 16:25:42U2021-12-07 21:01:00.0<NA>185258.129669447708.44815<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>
1433140000CDFF22411420220000012022-08-31<NA>4취소/말소/만료/정지/중지35직권말소2023-03-21<NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 793-1서울특별시 양천구 등촌로 26, 1층 105호 (목동)7966최강모터2023-04-06 14:15:10U2022-12-04 00:08:00.0<NA>187920.00031447790.007087<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>
1443140000CDFF22411420220000022022-12-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 1025-28서울특별시 양천구 신월로36길 7, 1층 (신정동)8086뽑캉스2024-01-03 09:40:53U2023-12-01 00:05:00.0<NA>187422.19936446541.706872<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>
1453140000CDFF22411420230000012023-01-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신월동 116-14서울특별시 양천구 월정로 137, 1층 (신월동)7923뽀끼BOMB2023-10-23 09:57:36U2022-10-30 22:05:00.0<NA>185562.951924447671.83579<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>
1463140000CDFF22411420230000022023-11-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 406-28 목동 슬로우스퀘어서울특별시 양천구 오목로 345, 목동 슬로우스퀘어 1층 115호 (목동)7999찌꼬뽀꼬 목동점2023-11-22 13:40:24I2022-10-31 22:04:00.0<NA>188951.756198446969.38865<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>
1473140000CDFF22411420230000032023-12-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신월동 961-3서울특별시 양천구 지양로 68, 1층 (신월동)8039뽑기정류장2023-12-12 11:11:09I2022-11-01 23:04:00.0<NA>185265.05624446627.908381<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>
1483140000CDFF22411420230000042023-12-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신월동 68-12서울특별시 양천구 월정로 218, 1층 (신월동)7907유이PC2024-03-08 09:24:57D2023-12-02 23:00:00.0<NA>185233.53248448410.511726<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>
1493140000CDFF22411420240000012024-03-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신월동 81-15서울특별시 양천구 가로공원로 131 (신월동)7905뽑기 OF LEGENDS2024-03-08 13:22:45I2023-12-02 23:00:00.0<NA>184952.586228448259.558793<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>
1503140000CDFF22411420240000022024-04-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 795-1서울특별시 양천구 목동중앙서로 12, 1층 (목동)7966오늘 인형뽑기 완료2024-04-01 17:35:31I2023-12-04 00:03:00.0<NA>188005.425844447806.918629<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>