Overview

Dataset statistics

Number of variables56
Number of observations167
Missing cells5138
Missing cells (%)54.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory79.1 KiB
Average record size in memory484.8 B

Variable types

Categorical12
Text8
DateTime4
Numeric10
Unsupported22

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
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-16821/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
기존게임업외업종명 has constant value ""Constant
건물용도명 is highly imbalanced (50.3%)Imbalance
지역구분명 is highly imbalanced (77.2%)Imbalance
인허가취소일자 has 142 (85.0%) missing valuesMissing
폐업일자 has 45 (26.9%) missing valuesMissing
휴업시작일자 has 167 (100.0%) missing valuesMissing
휴업종료일자 has 167 (100.0%) missing valuesMissing
재개업일자 has 167 (100.0%) missing valuesMissing
전화번호 has 159 (95.2%) missing valuesMissing
소재지면적 has 167 (100.0%) missing valuesMissing
소재지우편번호 has 154 (92.2%) missing valuesMissing
지번주소 has 2 (1.2%) missing valuesMissing
도로명주소 has 2 (1.2%) missing valuesMissing
도로명우편번호 has 54 (32.3%) missing valuesMissing
업태구분명 has 167 (100.0%) missing valuesMissing
총층수 has 121 (72.5%) missing valuesMissing
주변환경명 has 166 (99.4%) missing valuesMissing
제작취급품목내용 has 81 (48.5%) missing valuesMissing
시설면적 has 23 (13.8%) missing valuesMissing
지상층수 has 110 (65.9%) missing valuesMissing
통로너비 has 167 (100.0%) missing valuesMissing
조명시설조도 has 148 (88.6%) missing valuesMissing
노래방실수 has 167 (100.0%) missing valuesMissing
청소년실수 has 167 (100.0%) missing valuesMissing
비상계단여부 has 167 (100.0%) missing valuesMissing
비상구여부 has 167 (100.0%) missing valuesMissing
자동환기여부 has 167 (100.0%) missing valuesMissing
청소년실여부 has 167 (100.0%) missing valuesMissing
특수조명여부 has 167 (100.0%) missing valuesMissing
방음시설여부 has 167 (100.0%) missing valuesMissing
비디오재생기명 has 167 (100.0%) missing valuesMissing
조명시설유무 has 167 (100.0%) missing valuesMissing
음향시설여부 has 167 (100.0%) missing valuesMissing
편의시설여부 has 167 (100.0%) missing valuesMissing
소방시설여부 has 167 (100.0%) missing valuesMissing
총게임기수 has 91 (54.5%) missing valuesMissing
기존게임업외업종명 has 166 (99.4%) missing valuesMissing
공연장형태구분명 has 167 (100.0%) missing valuesMissing
품목명 has 167 (100.0%) missing valuesMissing
최초등록시점 has 167 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
통로너비 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 10:55:17.092871
Analysis finished2024-04-06 10:55:18.383521
Duration1.29 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3040000
167 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 167
100.0%

Length

2024-04-06T19:55:18.494010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:55:18.681259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 167
100.0%

관리번호
Text

UNIQUE 

Distinct167
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-06T19:55:19.022607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3340
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

Unique167 ?
Unique (%)100.0%

Sample

1st rowCDFF2241142007000001
2nd rowCDFF2241142007000002
3rd rowCDFF2241142007000003
4th rowCDFF2241142007000004
5th rowCDFF2241142007000005
ValueCountFrequency (%)
cdff2241142007000001 1
 
0.6%
cdff2241142017000020 1
 
0.6%
cdff2241142017000001 1
 
0.6%
cdff2241142017000002 1
 
0.6%
cdff2241142017000003 1
 
0.6%
cdff2241142017000004 1
 
0.6%
cdff2241142017000005 1
 
0.6%
cdff2241142017000006 1
 
0.6%
cdff2241142017000007 1
 
0.6%
cdff2241142017000008 1
 
0.6%
Other values (157) 157
94.0%
2024-04-06T19:55:20.147309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1004
30.1%
2 565
16.9%
1 508
15.2%
4 354
 
10.6%
F 334
 
10.0%
C 167
 
5.0%
D 167
 
5.0%
7 53
 
1.6%
9 52
 
1.6%
6 42
 
1.3%
Other values (3) 94
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2672
80.0%
Uppercase Letter 668
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1004
37.6%
2 565
21.1%
1 508
19.0%
4 354
 
13.2%
7 53
 
2.0%
9 52
 
1.9%
6 42
 
1.6%
8 37
 
1.4%
3 32
 
1.2%
5 25
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
F 334
50.0%
C 167
25.0%
D 167
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2672
80.0%
Latin 668
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1004
37.6%
2 565
21.1%
1 508
19.0%
4 354
 
13.2%
7 53
 
2.0%
9 52
 
1.9%
6 42
 
1.6%
8 37
 
1.4%
3 32
 
1.2%
5 25
 
0.9%
Latin
ValueCountFrequency (%)
F 334
50.0%
C 167
25.0%
D 167
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3340
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1004
30.1%
2 565
16.9%
1 508
15.2%
4 354
 
10.6%
F 334
 
10.0%
C 167
 
5.0%
D 167
 
5.0%
7 53
 
1.6%
9 52
 
1.6%
6 42
 
1.3%
Other values (3) 94
 
2.8%

인허가일자
Date

Distinct153
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2007-05-02 00:00:00
Maximum2023-11-08 00:00:00
2024-04-06T19:55:20.385870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:55:20.627452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)88.0%
Missing142
Missing (%)85.0%
Infinite0
Infinite (%)0.0%
Mean20113342
Minimum20081127
Maximum20190403
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-06T19:55:20.866961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20081127
5-th percentile20090230
Q120100201
median20100506
Q320121109
95-th percentile20172955
Maximum20190403
Range109276
Interquartile range (IQR)20908

Descriptive statistics

Standard deviation27515.381
Coefficient of variation (CV)0.0013680163
Kurtosis2.2189343
Mean20113342
Median Absolute Deviation (MAD)9694
Skewness1.5838184
Sum5.0283356 × 108
Variance7.5709618 × 108
MonotonicityNot monotonic
2024-04-06T19:55:21.099330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
20100201 4
 
2.4%
20100512 1
 
0.6%
20190403 1
 
0.6%
20180913 1
 
0.6%
20140520 1
 
0.6%
20130722 1
 
0.6%
20141125 1
 
0.6%
20140116 1
 
0.6%
20120723 1
 
0.6%
20121109 1
 
0.6%
Other values (12) 12
 
7.2%
(Missing) 142
85.0%
ValueCountFrequency (%)
20081127 1
 
0.6%
20090211 1
 
0.6%
20090305 1
 
0.6%
20090812 1
 
0.6%
20090930 1
 
0.6%
20100201 4
2.4%
20100211 1
 
0.6%
20100218 1
 
0.6%
20100331 1
 
0.6%
20100506 1
 
0.6%
ValueCountFrequency (%)
20190403 1
0.6%
20180913 1
0.6%
20141125 1
0.6%
20140520 1
0.6%
20140116 1
0.6%
20130722 1
0.6%
20121109 1
0.6%
20120723 1
0.6%
20120626 1
0.6%
20100730 1
0.6%

영업상태코드
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3
110 
4
37 
1
20 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 110
65.9%
4 37
 
22.2%
1 20
 
12.0%

Length

2024-04-06T19:55:21.345805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:55:21.539074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 110
65.9%
4 37
 
22.2%
1 20
 
12.0%

영업상태명
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
폐업
110 
취소/말소/만료/정지/중지
37 
영업/정상
20 

Length

Max length14
Median length2
Mean length5.0179641
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 110
65.9%
취소/말소/만료/정지/중지 37
 
22.2%
영업/정상 20
 
12.0%

Length

2024-04-06T19:55:21.779881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:55:22.032413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 110
65.9%
취소/말소/만료/정지/중지 37
 
22.2%
영업/정상 20
 
12.0%

상세영업상태코드
Categorical

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3
110 
31
25 
13
20 
35
12 

Length

Max length2
Median length1
Mean length1.3413174
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 110
65.9%
31 25
 
15.0%
13 20
 
12.0%
35 12
 
7.2%

Length

2024-04-06T19:55:22.225369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:55:22.408529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 110
65.9%
31 25
 
15.0%
13 20
 
12.0%
35 12
 
7.2%

상세영업상태명
Categorical

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
폐업
110 
등록취소
25 
영업중
20 
직권말소
12 

Length

Max length4
Median length2
Mean length2.5628743
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 110
65.9%
등록취소 25
 
15.0%
영업중 20
 
12.0%
직권말소 12
 
7.2%

Length

2024-04-06T19:55:22.638852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:55:22.844446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 110
65.9%
등록취소 25
 
15.0%
영업중 20
 
12.0%
직권말소 12
 
7.2%

폐업일자
Date

MISSING 

Distinct108
Distinct (%)88.5%
Missing45
Missing (%)26.9%
Memory size1.4 KiB
Minimum2008-03-28 00:00:00
Maximum2023-12-07 00:00:00
2024-04-06T19:55:23.102850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:55:23.361720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing167
Missing (%)100.0%
Memory size1.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing167
Missing (%)100.0%
Memory size1.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing167
Missing (%)100.0%
Memory size1.6 KiB

전화번호
Text

MISSING 

Distinct8
Distinct (%)100.0%
Missing159
Missing (%)95.2%
Memory size1.4 KiB
2024-04-06T19:55:23.645045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.25
Min length8

Characters and Unicode

Total characters74
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

Unique8 ?
Unique (%)100.0%

Sample

1st row3424-1658
2nd row466-2624
3rd row2205-3032
4th row454-3031
5th row031-913-8210
ValueCountFrequency (%)
3424-1658 1
12.5%
466-2624 1
12.5%
2205-3032 1
12.5%
454-3031 1
12.5%
031-913-8210 1
12.5%
6407-5729 1
12.5%
498-5618 1
12.5%
02-499-8450 1
12.5%
2024-04-06T19:55:24.201334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 10
13.5%
- 10
13.5%
2 9
12.2%
0 8
10.8%
3 7
9.5%
1 6
8.1%
6 6
8.1%
5 6
8.1%
8 5
6.8%
9 5
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 64
86.5%
Dash Punctuation 10
 
13.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 10
15.6%
2 9
14.1%
0 8
12.5%
3 7
10.9%
1 6
9.4%
6 6
9.4%
5 6
9.4%
8 5
7.8%
9 5
7.8%
7 2
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 74
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 10
13.5%
- 10
13.5%
2 9
12.2%
0 8
10.8%
3 7
9.5%
1 6
8.1%
6 6
8.1%
5 6
8.1%
8 5
6.8%
9 5
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 74
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 10
13.5%
- 10
13.5%
2 9
12.2%
0 8
10.8%
3 7
9.5%
1 6
8.1%
6 6
8.1%
5 6
8.1%
8 5
6.8%
9 5
6.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing167
Missing (%)100.0%
Memory size1.6 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)92.3%
Missing154
Missing (%)92.2%
Infinite0
Infinite (%)0.0%
Mean143781.38
Minimum143130
Maximum143901
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-06T19:55:24.419480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum143130
5-th percentile143484.6
Q1143825
median143842
Q3143862
95-th percentile143891.4
Maximum143901
Range771
Interquartile range (IQR)37

Descriptive statistics

Standard deviation201.57568
Coefficient of variation (CV)0.0014019595
Kurtosis11.1493
Mean143781.38
Median Absolute Deviation (MAD)20
Skewness-3.2638716
Sum1869158
Variance40632.756
MonotonicityNot monotonic
2024-04-06T19:55:24.633988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
143846 2
 
1.2%
143721 1
 
0.6%
143837 1
 
0.6%
143130 1
 
0.6%
143758 1
 
0.6%
143842 1
 
0.6%
143885 1
 
0.6%
143901 1
 
0.6%
143825 1
 
0.6%
143838 1
 
0.6%
Other values (2) 2
 
1.2%
(Missing) 154
92.2%
ValueCountFrequency (%)
143130 1
0.6%
143721 1
0.6%
143758 1
0.6%
143825 1
0.6%
143837 1
0.6%
143838 1
0.6%
143842 1
0.6%
143846 2
1.2%
143862 1
0.6%
143867 1
0.6%
ValueCountFrequency (%)
143901 1
0.6%
143885 1
0.6%
143867 1
0.6%
143862 1
0.6%
143846 2
1.2%
143842 1
0.6%
143838 1
0.6%
143837 1
0.6%
143825 1
0.6%
143758 1
0.6%

지번주소
Text

MISSING 

Distinct158
Distinct (%)95.8%
Missing2
Missing (%)1.2%
Memory size1.4 KiB
2024-04-06T19:55:25.285775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length29
Mean length22.993939
Min length13

Characters and Unicode

Total characters3794
Distinct characters68
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique151 ?
Unique (%)91.5%

Sample

1st row서울특별시 광진구 구의동 546-4번지 테크노마트 10층
2nd row서울특별시 광진구 군자동 213번지 1층
3rd row서울특별시 광진구 화양동 111-130번지 3층
4th row서울특별시 광진구 화양동 498-1번지 지하1층
5th row서울특별시 광진구 자양동 227-7번지 롯데시네마 3층
ValueCountFrequency (%)
서울특별시 165
22.4%
광진구 165
22.4%
자양동 45
 
6.1%
중곡동 45
 
6.1%
화양동 41
 
5.6%
구의동 23
 
3.1%
지하1층 20
 
2.7%
1층 14
 
1.9%
2층 12
 
1.6%
군자동 9
 
1.2%
Other values (170) 196
26.7%
2024-04-06T19:55:26.053184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
709
18.7%
구 188
 
5.0%
1 179
 
4.7%
시 169
 
4.5%
광 167
 
4.4%
진 167
 
4.4%
동 166
 
4.4%
울 165
 
4.3%
서 165
 
4.3%
별 165
 
4.3%
Other values (58) 1554
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2192
57.8%
Decimal Number 734
 
19.3%
Space Separator 709
 
18.7%
Dash Punctuation 157
 
4.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 188
 
8.6%
시 169
 
7.7%
광 167
 
7.6%
진 167
 
7.6%
동 166
 
7.6%
울 165
 
7.5%
서 165
 
7.5%
별 165
 
7.5%
특 165
 
7.5%
지 132
 
6.0%
Other values (45) 543
24.8%
Decimal Number
ValueCountFrequency (%)
1 179
24.4%
2 128
17.4%
4 76
10.4%
3 75
10.2%
6 53
 
7.2%
5 52
 
7.1%
7 48
 
6.5%
0 46
 
6.3%
9 40
 
5.4%
8 37
 
5.0%
Space Separator
ValueCountFrequency (%)
709
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 157
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2192
57.8%
Common 1600
42.2%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 188
 
8.6%
시 169
 
7.7%
광 167
 
7.6%
진 167
 
7.6%
동 166
 
7.6%
울 165
 
7.5%
서 165
 
7.5%
별 165
 
7.5%
특 165
 
7.5%
지 132
 
6.0%
Other values (45) 543
24.8%
Common
ValueCountFrequency (%)
709
44.3%
1 179
 
11.2%
- 157
 
9.8%
2 128
 
8.0%
4 76
 
4.8%
3 75
 
4.7%
6 53
 
3.3%
5 52
 
3.2%
7 48
 
3.0%
0 46
 
2.9%
Other values (2) 77
 
4.8%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2192
57.8%
ASCII 1602
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
709
44.3%
1 179
 
11.2%
- 157
 
9.8%
2 128
 
8.0%
4 76
 
4.7%
3 75
 
4.7%
6 53
 
3.3%
5 52
 
3.2%
7 48
 
3.0%
0 46
 
2.9%
Other values (3) 79
 
4.9%
Hangul
ValueCountFrequency (%)
구 188
 
8.6%
시 169
 
7.7%
광 167
 
7.6%
진 167
 
7.6%
동 166
 
7.6%
울 165
 
7.5%
서 165
 
7.5%
별 165
 
7.5%
특 165
 
7.5%
지 132
 
6.0%
Other values (45) 543
24.8%

도로명주소
Text

MISSING 

Distinct160
Distinct (%)97.0%
Missing2
Missing (%)1.2%
Memory size1.4 KiB
2024-04-06T19:55:26.610503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length36
Mean length28.575758
Min length22

Characters and Unicode

Total characters4715
Distinct characters100
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

Unique155 ?
Unique (%)93.9%

Sample

1st row서울특별시 광진구 광나루로56길 85 (구의동,테크노마트 10층)
2nd row서울특별시 광진구 능동로 195-2 (군자동,1층)
3rd row서울특별시 광진구 능동로 179-1 (화양동,3층)
4th row서울특별시 광진구 광나루로 418 (화양동,지하1층)
5th row서울특별시 광진구 아차산로 358 (자양동,1층)
ValueCountFrequency (%)
서울특별시 165
17.7%
광진구 165
17.7%
1층 56
 
6.0%
중곡동 35
 
3.8%
자양동 33
 
3.5%
화양동 30
 
3.2%
면목로 15
 
1.6%
뚝섬로 12
 
1.3%
구의동 11
 
1.2%
아차산로 11
 
1.2%
Other values (218) 398
42.7%
2024-04-06T19:55:27.617163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
811
 
17.2%
동 201
 
4.3%
1 199
 
4.2%
구 194
 
4.1%
광 181
 
3.8%
시 168
 
3.6%
진 168
 
3.6%
로 165
 
3.5%
) 165
 
3.5%
( 165
 
3.5%
Other values (90) 2298
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2730
57.9%
Space Separator 811
 
17.2%
Decimal Number 688
 
14.6%
Close Punctuation 165
 
3.5%
Open Punctuation 165
 
3.5%
Other Punctuation 141
 
3.0%
Dash Punctuation 14
 
0.3%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 201
 
7.4%
구 194
 
7.1%
광 181
 
6.6%
시 168
 
6.2%
진 168
 
6.2%
로 165
 
6.0%
서 165
 
6.0%
별 165
 
6.0%
특 165
 
6.0%
울 165
 
6.0%
Other values (74) 993
36.4%
Decimal Number
ValueCountFrequency (%)
1 199
28.9%
2 99
14.4%
3 86
12.5%
4 65
 
9.4%
8 47
 
6.8%
7 44
 
6.4%
5 42
 
6.1%
9 42
 
6.1%
0 33
 
4.8%
6 31
 
4.5%
Space Separator
ValueCountFrequency (%)
811
100.0%
Close Punctuation
ValueCountFrequency (%)
) 165
100.0%
Open Punctuation
ValueCountFrequency (%)
( 165
100.0%
Other Punctuation
ValueCountFrequency (%)
, 141
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2730
57.9%
Common 1984
42.1%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 201
 
7.4%
구 194
 
7.1%
광 181
 
6.6%
시 168
 
6.2%
진 168
 
6.2%
로 165
 
6.0%
서 165
 
6.0%
별 165
 
6.0%
특 165
 
6.0%
울 165
 
6.0%
Other values (74) 993
36.4%
Common
ValueCountFrequency (%)
811
40.9%
1 199
 
10.0%
) 165
 
8.3%
( 165
 
8.3%
, 141
 
7.1%
2 99
 
5.0%
3 86
 
4.3%
4 65
 
3.3%
8 47
 
2.4%
7 44
 
2.2%
Other values (5) 162
 
8.2%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2730
57.9%
ASCII 1985
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
811
40.9%
1 199
 
10.0%
) 165
 
8.3%
( 165
 
8.3%
, 141
 
7.1%
2 99
 
5.0%
3 86
 
4.3%
4 65
 
3.3%
8 47
 
2.4%
7 44
 
2.2%
Other values (6) 163
 
8.2%
Hangul
ValueCountFrequency (%)
동 201
 
7.4%
구 194
 
7.1%
광 181
 
6.6%
시 168
 
6.2%
진 168
 
6.2%
로 165
 
6.0%
서 165
 
6.0%
별 165
 
6.0%
특 165
 
6.0%
울 165
 
6.0%
Other values (74) 993
36.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)50.4%
Missing54
Missing (%)32.3%
Infinite0
Infinite (%)0.0%
Mean23430.009
Minimum4901
Maximum143902
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-06T19:55:27.913985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4901
5-th percentile4903
Q14952
median5017
Q35073
95-th percentile143846
Maximum143902
Range139001
Interquartile range (IQR)121

Descriptive statistics

Standard deviation47306.716
Coefficient of variation (CV)2.0190652
Kurtosis2.8642296
Mean23430.009
Median Absolute Deviation (MAD)61
Skewness2.1940413
Sum2647591
Variance2.2379253 × 109
MonotonicityNot monotonic
2024-04-06T19:55:28.206242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5017 7
 
4.2%
5009 6
 
3.6%
5018 6
 
3.6%
5073 6
 
3.6%
4949 5
 
3.0%
5016 5
 
3.0%
143846 3
 
1.8%
5044 3
 
1.8%
5057 3
 
1.8%
4902 3
 
1.8%
Other values (47) 66
39.5%
(Missing) 54
32.3%
ValueCountFrequency (%)
4901 2
1.2%
4902 3
1.8%
4903 2
1.2%
4904 1
 
0.6%
4906 1
 
0.6%
4910 1
 
0.6%
4912 1
 
0.6%
4914 2
1.2%
4924 1
 
0.6%
4929 1
 
0.6%
ValueCountFrequency (%)
143902 2
1.2%
143885 2
1.2%
143867 1
 
0.6%
143846 3
1.8%
143842 1
 
0.6%
143841 1
 
0.6%
143840 1
 
0.6%
143826 1
 
0.6%
143817 1
 
0.6%
143805 1
 
0.6%

사업장명
Text

Distinct147
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-06T19:55:28.695101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length29
Mean length6.4610778
Min length2

Characters and Unicode

Total characters1079
Distinct characters215
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

Unique132 ?
Unique (%)79.0%

Sample

1st row(주)타이토코리아조이맥스강변
2nd row세종
3rd rowBLACK BOX
4th row게임샷콘솔방
5th row크리오네
ValueCountFrequency (%)
게임랜드 17
 
6.9%
뽑기방 10
 
4.1%
게임장 7
 
2.9%
무단폐업 5
 
2.0%
현장조사 5
 
2.0%
뽑기짱 4
 
1.6%
인형뽑기 4
 
1.6%
놀이터 3
 
1.2%
건대점 3
 
1.2%
즐거운 3
 
1.2%
Other values (161) 184
75.1%
2024-04-06T19:55:29.437897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
78
 
7.2%
게 67
 
6.2%
임 66
 
6.1%
드 48
 
4.4%
랜 41
 
3.8%
뽑 39
 
3.6%
기 35
 
3.2%
장 27
 
2.5%
방 23
 
2.1%
짱 17
 
1.6%
Other values (205) 638
59.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 863
80.0%
Space Separator 78
 
7.2%
Uppercase Letter 54
 
5.0%
Decimal Number 42
 
3.9%
Lowercase Letter 13
 
1.2%
Open Punctuation 8
 
0.7%
Close Punctuation 8
 
0.7%
Dash Punctuation 7
 
0.6%
Other Punctuation 6
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 67
 
7.8%
임 66
 
7.6%
드 48
 
5.6%
랜 41
 
4.8%
뽑 39
 
4.5%
기 35
 
4.1%
장 27
 
3.1%
방 23
 
2.7%
짱 17
 
2.0%
인 16
 
1.9%
Other values (163) 484
56.1%
Uppercase Letter
ValueCountFrequency (%)
P 9
16.7%
A 5
 
9.3%
S 5
 
9.3%
E 4
 
7.4%
O 4
 
7.4%
H 3
 
5.6%
R 2
 
3.7%
G 2
 
3.7%
M 2
 
3.7%
X 2
 
3.7%
Other values (12) 16
29.6%
Lowercase Letter
ValueCountFrequency (%)
a 3
23.1%
n 3
23.1%
g 2
15.4%
z 1
 
7.7%
o 1
 
7.7%
e 1
 
7.7%
l 1
 
7.7%
y 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
2 12
28.6%
1 9
21.4%
0 8
19.0%
4 5
11.9%
7 4
 
9.5%
8 2
 
4.8%
9 2
 
4.8%
Space Separator
ValueCountFrequency (%)
78
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Other Punctuation
ValueCountFrequency (%)
. 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 863
80.0%
Common 149
 
13.8%
Latin 67
 
6.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 67
 
7.8%
임 66
 
7.6%
드 48
 
5.6%
랜 41
 
4.8%
뽑 39
 
4.5%
기 35
 
4.1%
장 27
 
3.1%
방 23
 
2.7%
짱 17
 
2.0%
인 16
 
1.9%
Other values (163) 484
56.1%
Latin
ValueCountFrequency (%)
P 9
 
13.4%
A 5
 
7.5%
S 5
 
7.5%
E 4
 
6.0%
O 4
 
6.0%
a 3
 
4.5%
H 3
 
4.5%
n 3
 
4.5%
R 2
 
3.0%
G 2
 
3.0%
Other values (20) 27
40.3%
Common
ValueCountFrequency (%)
78
52.3%
2 12
 
8.1%
1 9
 
6.0%
( 8
 
5.4%
) 8
 
5.4%
0 8
 
5.4%
- 7
 
4.7%
. 6
 
4.0%
4 5
 
3.4%
7 4
 
2.7%
Other values (2) 4
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 863
80.0%
ASCII 216
 
20.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
78
36.1%
2 12
 
5.6%
1 9
 
4.2%
P 9
 
4.2%
( 8
 
3.7%
) 8
 
3.7%
0 8
 
3.7%
- 7
 
3.2%
. 6
 
2.8%
A 5
 
2.3%
Other values (32) 66
30.6%
Hangul
ValueCountFrequency (%)
게 67
 
7.8%
임 66
 
7.6%
드 48
 
5.6%
랜 41
 
4.8%
뽑 39
 
4.5%
기 35
 
4.1%
장 27
 
3.1%
방 23
 
2.7%
짱 17
 
2.0%
인 16
 
1.9%
Other values (163) 484
56.1%

최종수정일자
Date

UNIQUE 

Distinct167
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2008-03-31 07:42:21
Maximum2023-12-07 13:58:28
2024-04-06T19:55:29.715511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:55:30.053237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
I
85 
U
82 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 85
50.9%
U 82
49.1%

Length

2024-04-06T19:55:30.359652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:55:30.625015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 85
50.9%
u 82
49.1%

데이터갱신일자
Date

Distinct57
Distinct (%)34.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2018-08-31 23:59:59
Maximum2022-12-02 23:02:00
2024-04-06T19:55:30.814014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:55:31.034911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing167
Missing (%)100.0%
Memory size1.6 KiB

좌표정보(X)
Real number (ℝ)

Distinct143
Distinct (%)85.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean206778.36
Minimum205391.38
Maximum209169.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-06T19:55:31.272458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205391.38
5-th percentile205484.79
Q1206084.04
median206813.15
Q3207387.38
95-th percentile207983.9
Maximum209169.95
Range3778.5721
Interquartile range (IQR)1303.3376

Descriptive statistics

Standard deviation836.15058
Coefficient of variation (CV)0.0040437044
Kurtosis-0.9151769
Mean206778.36
Median Absolute Deviation (MAD)679.7186
Skewness0.16449304
Sum34531987
Variance699147.79
MonotonicityNot monotonic
2024-04-06T19:55:31.515217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
208394.416382167 3
 
1.8%
205477.134659707 3
 
1.8%
205391.382375241 3
 
1.8%
206349.675048285 3
 
1.8%
205484.785192828 3
 
1.8%
207377.140212776 3
 
1.8%
207220.276233157 3
 
1.8%
207806.060949604 2
 
1.2%
206012.224060644 2
 
1.2%
205405.942359096 2
 
1.2%
Other values (133) 140
83.8%
ValueCountFrequency (%)
205391.382375241 3
1.8%
205405.942359096 2
1.2%
205477.134659707 3
1.8%
205484.785192828 3
1.8%
205558.637304498 1
 
0.6%
205570.982632948 1
 
0.6%
205601.842419915 2
1.2%
205616.169450597 1
 
0.6%
205689.831170704 1
 
0.6%
205696.157567131 1
 
0.6%
ValueCountFrequency (%)
209169.954502943 1
 
0.6%
208394.416382167 3
1.8%
208284.223253304 1
 
0.6%
208201.993320839 1
 
0.6%
208114.688676917 1
 
0.6%
208069.338436444 1
 
0.6%
207992.132671683 1
 
0.6%
207964.705230234 1
 
0.6%
207964.066025918 1
 
0.6%
207953.355582976 1
 
0.6%

좌표정보(Y)
Real number (ℝ)

Distinct143
Distinct (%)85.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean449453.84
Minimum447636.12
Maximum452136.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-06T19:55:31.787638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447636.12
5-th percentile448016.23
Q1448401.34
median448938.96
Q3450548.7
95-th percentile451848.6
Maximum452136.72
Range4500.602
Interquartile range (IQR)2147.3557

Descriptive statistics

Standard deviation1250.5363
Coefficient of variation (CV)0.0027823465
Kurtosis-0.74489246
Mean449453.84
Median Absolute Deviation (MAD)626.65869
Skewness0.71297754
Sum75058791
Variance1563841.1
MonotonicityNot monotonic
2024-04-06T19:55:32.024235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448165.279999905 3
 
1.8%
448312.303781151 3
 
1.8%
448379.480529739 3
 
1.8%
448396.939704285 3
 
1.8%
448298.81959555 3
 
1.8%
450970.310249935 3
 
1.8%
451834.827413746 3
 
1.8%
448524.79576304 2
 
1.2%
448874.856581131 2
 
1.2%
448325.022509797 2
 
1.2%
Other values (133) 140
83.8%
ValueCountFrequency (%)
447636.115901284 1
0.6%
447718.139853086 1
0.6%
447796.1646628 1
0.6%
447851.940331384 1
0.6%
447866.430787278 1
0.6%
447901.454145613 2
1.2%
447967.299542306 1
0.6%
447991.643117971 1
0.6%
448073.61341334 1
0.6%
448089.170551579 1
0.6%
ValueCountFrequency (%)
452136.717870103 1
 
0.6%
452134.45276901 1
 
0.6%
452089.198171901 1
 
0.6%
452034.440353727 1
 
0.6%
452024.566240423 1
 
0.6%
452005.004881333 1
 
0.6%
451951.606434503 1
 
0.6%
451875.29274969 1
 
0.6%
451854.498468228 1
 
0.6%
451834.827413746 3
1.8%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
청소년게임제공업
144 
<NA>
23 

Length

Max length8
Median length8
Mean length7.4491018
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청소년게임제공업 144
86.2%
<NA> 23
 
13.8%

Length

2024-04-06T19:55:32.666771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:55:32.882112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청소년게임제공업 144
86.2%
na 23
 
13.8%

문화사업자구분명
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
유통관련업
144 
<NA>
23 

Length

Max length5
Median length5
Mean length4.8622754
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 144
86.2%
<NA> 23
 
13.8%

Length

2024-04-06T19:55:33.087399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:55:33.272417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 144
86.2%
na 23
 
13.8%

총층수
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)15.2%
Missing121
Missing (%)72.5%
Infinite0
Infinite (%)0.0%
Mean5.3478261
Minimum1
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-06T19:55:33.441440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.25
Q14
median5
Q35
95-th percentile6
Maximum45
Range44
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.0999723
Coefficient of variation (CV)1.1406452
Kurtosis42.147704
Mean5.3478261
Median Absolute Deviation (MAD)1
Skewness6.3514171
Sum246
Variance37.209662
MonotonicityNot monotonic
2024-04-06T19:55:33.609375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 18
 
10.8%
4 11
 
6.6%
6 8
 
4.8%
3 5
 
3.0%
1 2
 
1.2%
2 1
 
0.6%
45 1
 
0.6%
(Missing) 121
72.5%
ValueCountFrequency (%)
1 2
 
1.2%
2 1
 
0.6%
3 5
 
3.0%
4 11
6.6%
5 18
10.8%
6 8
4.8%
45 1
 
0.6%
ValueCountFrequency (%)
45 1
 
0.6%
6 8
4.8%
5 18
10.8%
4 11
6.6%
3 5
 
3.0%
2 1
 
0.6%
1 2
 
1.2%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing166
Missing (%)99.4%
Memory size1.4 KiB
2024-04-06T19:55:33.810019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters4
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 (%)100.0%

Sample

1st row주택가주변
ValueCountFrequency (%)
주택가주변 1
100.0%
2024-04-06T19:55:34.349099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2
40.0%
택 1
20.0%
가 1
20.0%
변 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2
40.0%
택 1
20.0%
가 1
20.0%
변 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2
40.0%
택 1
20.0%
가 1
20.0%
변 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2
40.0%
택 1
20.0%
가 1
20.0%
변 1
20.0%

제작취급품목내용
Text

MISSING 

Distinct82
Distinct (%)95.3%
Missing81
Missing (%)48.5%
Memory size1.4 KiB
2024-04-06T19:55:34.695370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length33.5
Mean length17.406977
Min length2

Characters and Unicode

Total characters1497
Distinct characters191
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

Unique79 ?
Unique (%)91.9%

Sample

1st row해왕
2nd row스톰(AR-090923-003)
3rd row몰리일대기(AR-090128-001)
4th rowJoy fish(제AR-080919-001호)
5th row스톰(제AR-090923-003호)
ValueCountFrequency (%)
아케이드 4
 
3.0%
게임 3
 
2.2%
씨로켓 2
 
1.5%
토이즈팝(10 2
 
1.5%
러브푸시(1 2
 
1.5%
토이즈팝(7 2
 
1.5%
자이언트 2
 
1.5%
코코짱 2
 
1.5%
러브푸시(2 2
 
1.5%
짱(1 2
 
1.5%
Other values (108) 112
83.0%
2024-04-06T19:55:35.421498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 136
 
9.1%
( 136
 
9.1%
1 70
 
4.7%
이 65
 
4.3%
, 51
 
3.4%
49
 
3.3%
0 45
 
3.0%
2 44
 
2.9%
스 34
 
2.3%
토 33
 
2.2%
Other values (181) 834
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 797
53.2%
Decimal Number 244
 
16.3%
Close Punctuation 136
 
9.1%
Open Punctuation 136
 
9.1%
Other Punctuation 51
 
3.4%
Space Separator 49
 
3.3%
Uppercase Letter 35
 
2.3%
Lowercase Letter 28
 
1.9%
Dash Punctuation 21
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 65
 
8.2%
스 34
 
4.3%
토 33
 
4.1%
코 32
 
4.0%
러 31
 
3.9%
즈 29
 
3.6%
레 27
 
3.4%
팝 27
 
3.4%
아 26
 
3.3%
짱 25
 
3.1%
Other values (139) 468
58.7%
Lowercase Letter
ValueCountFrequency (%)
l 4
14.3%
s 3
10.7%
e 3
10.7%
h 2
 
7.1%
o 2
 
7.1%
r 2
 
7.1%
u 2
 
7.1%
w 1
 
3.6%
n 1
 
3.6%
i 1
 
3.6%
Other values (7) 7
25.0%
Decimal Number
ValueCountFrequency (%)
1 70
28.7%
0 45
18.4%
2 44
18.0%
9 17
 
7.0%
3 15
 
6.1%
6 13
 
5.3%
4 11
 
4.5%
8 11
 
4.5%
5 9
 
3.7%
7 9
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
A 10
28.6%
R 7
20.0%
C 6
17.1%
N 5
14.3%
Q 2
 
5.7%
W 1
 
2.9%
O 1
 
2.9%
S 1
 
2.9%
J 1
 
2.9%
T 1
 
2.9%
Close Punctuation
ValueCountFrequency (%)
) 136
100.0%
Open Punctuation
ValueCountFrequency (%)
( 136
100.0%
Other Punctuation
ValueCountFrequency (%)
, 51
100.0%
Space Separator
ValueCountFrequency (%)
49
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 797
53.2%
Common 637
42.6%
Latin 63
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 65
 
8.2%
스 34
 
4.3%
토 33
 
4.1%
코 32
 
4.0%
러 31
 
3.9%
즈 29
 
3.6%
레 27
 
3.4%
팝 27
 
3.4%
아 26
 
3.3%
짱 25
 
3.1%
Other values (139) 468
58.7%
Latin
ValueCountFrequency (%)
A 10
15.9%
R 7
 
11.1%
C 6
 
9.5%
N 5
 
7.9%
l 4
 
6.3%
s 3
 
4.8%
e 3
 
4.8%
h 2
 
3.2%
o 2
 
3.2%
r 2
 
3.2%
Other values (17) 19
30.2%
Common
ValueCountFrequency (%)
) 136
21.4%
( 136
21.4%
1 70
11.0%
, 51
 
8.0%
49
 
7.7%
0 45
 
7.1%
2 44
 
6.9%
- 21
 
3.3%
9 17
 
2.7%
3 15
 
2.4%
Other values (5) 53
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 797
53.2%
ASCII 700
46.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 136
19.4%
( 136
19.4%
1 70
10.0%
, 51
 
7.3%
49
 
7.0%
0 45
 
6.4%
2 44
 
6.3%
- 21
 
3.0%
9 17
 
2.4%
3 15
 
2.1%
Other values (32) 116
16.6%
Hangul
ValueCountFrequency (%)
이 65
 
8.2%
스 34
 
4.3%
토 33
 
4.1%
코 32
 
4.0%
러 31
 
3.9%
즈 29
 
3.6%
레 27
 
3.4%
팝 27
 
3.4%
아 26
 
3.3%
짱 25
 
3.1%
Other values (139) 468
58.7%

시설면적
Real number (ℝ)

MISSING 

Distinct111
Distinct (%)77.1%
Missing23
Missing (%)13.8%
Infinite0
Infinite (%)0.0%
Mean89.494583
Minimum16
Maximum373.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-06T19:55:35.658159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile19.8
Q130
median97.295
Q3127.7
95-th percentile173.2
Maximum373.89
Range357.89
Interquartile range (IQR)97.7

Descriptive statistics

Standard deviation61.909551
Coefficient of variation (CV)0.6917687
Kurtosis4.5274523
Mean89.494583
Median Absolute Deviation (MAD)43.92
Skewness1.4689309
Sum12887.22
Variance3832.7925
MonotonicityNot monotonic
2024-04-06T19:55:35.986794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30.0 9
 
5.4%
132.0 4
 
2.4%
99.6 4
 
2.4%
40.0 4
 
2.4%
33.0 3
 
1.8%
16.5 2
 
1.2%
94.06 2
 
1.2%
25.0 2
 
1.2%
100.77 2
 
1.2%
23.0 2
 
1.2%
Other values (101) 110
65.9%
(Missing) 23
 
13.8%
ValueCountFrequency (%)
16.0 1
0.6%
16.5 2
1.2%
18.0 1
0.6%
18.73 1
0.6%
19.0 1
0.6%
19.47 1
0.6%
19.8 2
1.2%
20.0 1
0.6%
20.3 1
0.6%
21.1 1
0.6%
ValueCountFrequency (%)
373.89 1
0.6%
344.05 1
0.6%
322.48 1
0.6%
210.0 1
0.6%
195.56 1
0.6%
184.15 1
0.6%
180.0 1
0.6%
173.71 1
0.6%
170.31 1
0.6%
165.28 1
0.6%

지상층수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)10.5%
Missing110
Missing (%)65.9%
Infinite0
Infinite (%)0.0%
Mean3.754386
Minimum1
Maximum39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-06T19:55:36.382156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum39
Range38
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.9435409
Coefficient of variation (CV)1.3167375
Kurtosis48.217583
Mean3.754386
Median Absolute Deviation (MAD)1
Skewness6.6670106
Sum214
Variance24.438596
MonotonicityNot monotonic
2024-04-06T19:55:36.708715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 17
 
10.2%
3 14
 
8.4%
1 12
 
7.2%
5 9
 
5.4%
2 4
 
2.4%
39 1
 
0.6%
(Missing) 110
65.9%
ValueCountFrequency (%)
1 12
7.2%
2 4
 
2.4%
3 14
8.4%
4 17
10.2%
5 9
5.4%
39 1
 
0.6%
ValueCountFrequency (%)
39 1
 
0.6%
5 9
5.4%
4 17
10.2%
3 14
8.4%
2 4
 
2.4%
1 12
7.2%

지하층수
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
126 
1
40 
6
 
1

Length

Max length4
Median length4
Mean length3.2634731
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 126
75.4%
1 40
 
24.0%
6 1
 
0.6%

Length

2024-04-06T19:55:36.980698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:55:37.298170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 126
75.4%
1 40
 
24.0%
6 1
 
0.6%

건물용도명
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
113 
근린생활시설
52 
문화시설
 
1
기타
 
1

Length

Max length6
Median length4
Mean length4.6107784
Min length2

Unique

Unique2 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 113
67.7%
근린생활시설 52
31.1%
문화시설 1
 
0.6%
기타 1
 
0.6%

Length

2024-04-06T19:55:37.515302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:55:37.707201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 113
67.7%
근린생활시설 52
31.1%
문화시설 1
 
0.6%
기타 1
 
0.6%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing167
Missing (%)100.0%
Memory size1.6 KiB

조명시설조도
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)47.4%
Missing148
Missing (%)88.6%
Infinite0
Infinite (%)0.0%
Mean81.315789
Minimum60
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-06T19:55:37.877829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile60
Q162.5
median80
Q392.5
95-th percentile105
Maximum150
Range90
Interquartile range (IQR)30

Descriptive statistics

Standard deviation22.037979
Coefficient of variation (CV)0.27101722
Kurtosis4.2414473
Mean81.315789
Median Absolute Deviation (MAD)15
Skewness1.6566648
Sum1545
Variance485.67251
MonotonicityNot monotonic
2024-04-06T19:55:38.082228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
60 5
 
3.0%
80 3
 
1.8%
65 2
 
1.2%
85 2
 
1.2%
95 2
 
1.2%
100 2
 
1.2%
90 1
 
0.6%
150 1
 
0.6%
75 1
 
0.6%
(Missing) 148
88.6%
ValueCountFrequency (%)
60 5
3.0%
65 2
 
1.2%
75 1
 
0.6%
80 3
1.8%
85 2
 
1.2%
90 1
 
0.6%
95 2
 
1.2%
100 2
 
1.2%
150 1
 
0.6%
ValueCountFrequency (%)
150 1
 
0.6%
100 2
 
1.2%
95 2
 
1.2%
90 1
 
0.6%
85 2
 
1.2%
80 3
1.8%
75 1
 
0.6%
65 2
 
1.2%
60 5
3.0%

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing167
Missing (%)100.0%
Memory size1.6 KiB

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing167
Missing (%)100.0%
Memory size1.6 KiB

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing167
Missing (%)100.0%
Memory size1.6 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing167
Missing (%)100.0%
Memory size1.6 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing167
Missing (%)100.0%
Memory size1.6 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing167
Missing (%)100.0%
Memory size1.6 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing167
Missing (%)100.0%
Memory size1.6 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing167
Missing (%)100.0%
Memory size1.6 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing167
Missing (%)100.0%
Memory size1.6 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing167
Missing (%)100.0%
Memory size1.6 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing167
Missing (%)100.0%
Memory size1.6 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing167
Missing (%)100.0%
Memory size1.6 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing167
Missing (%)100.0%
Memory size1.6 KiB

총게임기수
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)31.6%
Missing91
Missing (%)54.5%
Infinite0
Infinite (%)0.0%
Mean28.513158
Minimum3
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-06T19:55:38.365778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile6
Q111
median40
Q340
95-th percentile48.25
Maximum50
Range47
Interquartile range (IQR)29

Descriptive statistics

Standard deviation15.247726
Coefficient of variation (CV)0.53476105
Kurtosis-1.6046725
Mean28.513158
Median Absolute Deviation (MAD)7.5
Skewness-0.33027584
Sum2167
Variance232.49316
MonotonicityNot monotonic
2024-04-06T19:55:38.723727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
40 31
 
18.6%
10 5
 
3.0%
11 5
 
3.0%
50 3
 
1.8%
6 3
 
1.8%
12 3
 
1.8%
9 2
 
1.2%
45 2
 
1.2%
8 2
 
1.2%
13 2
 
1.2%
Other values (14) 18
 
10.8%
(Missing) 91
54.5%
ValueCountFrequency (%)
3 1
 
0.6%
4 1
 
0.6%
6 3
1.8%
7 1
 
0.6%
8 2
 
1.2%
9 2
 
1.2%
10 5
3.0%
11 5
3.0%
12 3
1.8%
13 2
 
1.2%
ValueCountFrequency (%)
50 3
 
1.8%
49 1
 
0.6%
48 1
 
0.6%
47 1
 
0.6%
45 2
 
1.2%
40 31
18.6%
38 1
 
0.6%
37 1
 
0.6%
33 2
 
1.2%
30 2
 
1.2%

기존게임업외업종명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing166
Missing (%)99.4%
Memory size1.4 KiB
2024-04-06T19:55:39.095512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters11
Distinct characters10
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row식품접객업/휴게음식점
ValueCountFrequency (%)
식품접객업/휴게음식점 1
100.0%
2024-04-06T19:55:39.618887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 2
18.2%
품 1
9.1%
접 1
9.1%
객 1
9.1%
업 1
9.1%
/ 1
9.1%
휴 1
9.1%
게 1
9.1%
음 1
9.1%
점 1
9.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
90.9%
Other Punctuation 1
 
9.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 2
20.0%
품 1
10.0%
접 1
10.0%
객 1
10.0%
업 1
10.0%
휴 1
10.0%
게 1
10.0%
음 1
10.0%
점 1
10.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
90.9%
Common 1
 
9.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 2
20.0%
품 1
10.0%
접 1
10.0%
객 1
10.0%
업 1
10.0%
휴 1
10.0%
게 1
10.0%
음 1
10.0%
점 1
10.0%
Common
ValueCountFrequency (%)
/ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
90.9%
ASCII 1
 
9.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 2
20.0%
품 1
10.0%
접 1
10.0%
객 1
10.0%
업 1
10.0%
휴 1
10.0%
게 1
10.0%
음 1
10.0%
점 1
10.0%
ASCII
ValueCountFrequency (%)
/ 1
100.0%

제공게임물명
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
전체이용가
124 
<NA>
43 

Length

Max length5
Median length5
Mean length4.742515
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전체이용가 124
74.3%
<NA> 43
 
25.7%

Length

2024-04-06T19:55:39.884543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:55:40.138196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체이용가 124
74.3%
na 43
 
25.7%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing167
Missing (%)100.0%
Memory size1.6 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing167
Missing (%)100.0%
Memory size1.6 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing167
Missing (%)100.0%
Memory size1.6 KiB

지역구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
154 
일반주거지역
 
6
일반상업지역
 
4
준주거지역
 
2
전용주거지역
 
1

Length

Max length6
Median length4
Mean length4.1437126
Min length4

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 154
92.2%
일반주거지역 6
 
3.6%
일반상업지역 4
 
2.4%
준주거지역 2
 
1.2%
전용주거지역 1
 
0.6%

Length

2024-04-06T19:55:40.346322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:55:40.544691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 154
92.2%
일반주거지역 6
 
3.6%
일반상업지역 4
 
2.4%
준주거지역 2
 
1.2%
전용주거지역 1
 
0.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03040000CDFF224114200700000120071113<NA>3폐업3폐업20080618<NA><NA><NA>3424-1658<NA>143721서울특별시 광진구 구의동 546-4번지 테크노마트 10층서울특별시 광진구 광나루로56길 85 (구의동,테크노마트 10층)<NA>(주)타이토코리아조이맥스강변2008-06-18 13:51:00I2018-08-31 23:59:59.0<NA>208394.416382448165.28청소년게임제공업유통관련업<NA><NA><NA>184.15<NA><NA>문화시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>48<NA><NA><NA><NA><NA>준주거지역
13040000CDFF224114200700000220071113<NA>3폐업3폐업20110121<NA><NA><NA>466-2624<NA>143837서울특별시 광진구 군자동 213번지 1층서울특별시 광진구 능동로 195-2 (군자동,1층)<NA>세종2011-01-21 15:29:34I2018-08-31 23:59:59.0<NA>206500.202385449534.347746청소년게임제공업유통관련업2<NA><NA>112.932<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
23040000CDFF224114200700000320071119<NA>3폐업3폐업20120113<NA><NA><NA>2205-3032<NA><NA>서울특별시 광진구 화양동 111-130번지 3층서울특별시 광진구 능동로 179-1 (화양동,3층)<NA>BLACK BOX2012-01-13 10:59:36I2018-08-31 23:59:59.0<NA>206419.903423449395.912226청소년게임제공업유통관련업5<NA><NA>136.6241근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역
33040000CDFF224114200700000420071120<NA>3폐업3폐업20150722<NA><NA><NA>454-3031<NA>143130서울특별시 광진구 화양동 498-1번지 지하1층서울특별시 광진구 광나루로 418 (화양동,지하1층)<NA>게임샷콘솔방2015-07-23 13:02:13I2018-08-31 23:59:59.0<NA>206622.905807449345.099378청소년게임제공업유통관련업5<NA><NA>173.7151근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>30<NA><NA><NA><NA><NA>전용주거지역
43040000CDFF224114200700000520070502<NA>3폐업3폐업20130321<NA><NA><NA>031-913-8210<NA>143758서울특별시 광진구 자양동 227-7번지 롯데시네마 3층<NA><NA>크리오네2013-03-21 17:46:47I2018-08-31 23:59:59.0<NA>206349.675048448396.939704청소년게임제공업유통관련업<NA><NA><NA>344.05<NA><NA>기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>준주거지역
53040000CDFF224114200700000620071130<NA>3폐업3폐업20080328<NA><NA><NA><NA><NA>143846서울특별시 광진구 자양동 219-7번지 1층서울특별시 광진구 아차산로 358 (자양동,1층)<NA>오리날다2008-03-31 07:42:21I2018-08-31 23:59:59.0<NA>207211.60264448254.436455청소년게임제공업유통관련업6<NA><NA>127.551근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
63040000CDFF224114200700000720070508<NA>3폐업3폐업20180204<NA><NA><NA><NA><NA><NA>서울특별시 광진구 화양동 220번지 2층서울특별시 광진구 광나루로 394 (화양동,2층)<NA>PJS플스방2018-02-05 14:10:16I2018-08-31 23:59:59.0<NA>206416.519969449443.683642청소년게임제공업유통관련업<NA><NA><NA>98.43<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역
73040000CDFF224114200800000120080429200811274취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>143842서울특별시 광진구 자양동 24-2번지 1층서울특별시 광진구 동일로 96 (자양동,1층)<NA>골드스피아2008-12-01 13:49:08I2018-08-31 23:59:59.0<NA>205558.637304448764.836976청소년게임제공업유통관련업4<NA><NA>132.2331근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50<NA>전체이용가<NA><NA><NA><NA>
83040000CDFF224114200800000220080507<NA>3폐업3폐업20190110<NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 546-1번지 2층 220호서울특별시 광진구 강변역로 50 (구의동,2층 220호)<NA>동서울 오락실2019-01-10 11:30:48U2019-01-12 02:40:00.0<NA>208201.993321447967.299542청소년게임제공업유통관련업<NA><NA><NA>84.0<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>
93040000CDFF224114200800000320080526<NA>3폐업3폐업20151008<NA><NA><NA><NA><NA>143885서울특별시 광진구 중곡동 37-2번지 2층서울특별시 광진구 용마산로21길 77 (중곡동,2층)<NA>PS2 게이머2015-10-08 16:15:38I2018-08-31 23:59:59.0<NA>207424.116672451014.721855청소년게임제공업유통관련업6<NA><NA>79.0651근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
1573040000CDFF224114201900001220191112<NA>3폐업3폐업20201130<NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 157-6서울특별시 광진구 천호대로 559, 1층 (중곡동)4929크로버 뽑기방2020-12-01 17:54:09U2020-12-03 02:40:00.0<NA>207037.00056450549.611942청소년게임제공업유통관련업<NA><NA>곰탱이(6),토이즈팝(1)21.1<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>
1583040000CDFF224114201900001320191216<NA>3폐업3폐업20210409<NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 107-41서울특별시 광진구 영화사로 55, 지하1층 (중곡동)4947보물박스2021-04-09 17:31:07U2021-04-11 02:40:00.0<NA>208114.688677450372.743119청소년게임제공업유통관련업<NA><NA>러브푸시(1),부키부키(3),멘토스(1),플러스 크레인(2),토이즈팝(2)24.0<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>
1593040000CDFF224114202000000120200304<NA>3폐업3폐업20211221<NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 82-22서울특별시 광진구 영화사로 20, 1층 (중곡동)4949캐치미2021-12-21 17:45:13U2021-12-23 02:40:00.0<NA>207836.892831450576.085017청소년게임제공업유통관련업<NA><NA>곰탱이(10),러브푸시(1),토이즈팝(2)29.37<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>13<NA>전체이용가<NA><NA><NA><NA>
1603040000CDFF224114202000000220200508<NA>3폐업3폐업20211013<NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 173-1서울특별시 광진구 면목로 165, 1층 (중곡동)4906라운드원2021-10-13 18:08:24U2021-10-15 02:40:00.0<NA>207195.491742451745.020107청소년게임제공업유통관련업<NA><NA>코코짱(6)25.0<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>
1613040000CDFF224114202000000320200715<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 580서울특별시 광진구 답십리로 366, 1층 (중곡동)4901핑크뽑기방2020-10-28 16:55:18U2020-12-03 02:40:00.0<NA>207089.752231452136.71787청소년게임제공업유통관련업<NA><NA>러브푸시(1)토이즈팝(5)36.31<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
1623040000CDFF224114202000000420201209<NA>3폐업3폐업20220810<NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 83-6서울특별시 광진구 영화사로 23, 1층 (중곡동)4945라운드원2022-08-10 18:08:55U2021-12-07 23:02:00.0<NA>207880.581134450579.103905<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>
1633040000CDFF22411420210000012021-12-06<NA>3폐업3폐업2023-12-07<NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 617-9서울특별시 광진구 자양로13길 80, 1층 (자양동)5062인형뽑기샵2023-12-07 13:58:28U2022-11-02 00:09:00.0<NA>207050.558275447901.454146<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>
1643040000CDFF22411420230000012023-03-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 82-4서울특별시 광진구 영화사로 28, 1층 (중곡동)4949뽑짱2023-03-21 18:19:56I2022-12-02 22:03:00.0<NA>207883.538792450534.972867<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>
1653040000CDFF22411420230000022023-03-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 227-7 더샵스타시티서울특별시 광진구 아차산로 272, 더샵스타시티 2층 (자양동)5065GAME PARK2023-03-28 13:55:54I2022-12-02 21:00:00.0<NA>206349.675048448396.939704<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>
1663040000CDFF22411420230000032023-11-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 화양동 7-9 진명빌딩서울특별시 광진구 동일로22길 104, 진명빌딩 1층 (화양동)5018와와리저브2023-11-08 08:58:31I2022-10-31 23:00:00.0<NA>206098.338891448722.142529<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>