Overview

Dataset statistics

Number of variables56
Number of observations172
Missing cells5491
Missing cells (%)57.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory81.4 KiB
Average record size in memory484.8 B

Variable types

Categorical11
Text8
DateTime5
Unsupported24
Numeric8

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
Author동대문구
URLhttps://data.seoul.go.kr/dataList/OA-16822/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
문화체육업종명 is highly imbalanced (68.0%)Imbalance
문화사업자구분명 is highly imbalanced (68.0%)Imbalance
지하층수 is highly imbalanced (74.1%)Imbalance
건물용도명 is highly imbalanced (67.4%)Imbalance
인허가취소일자 has 134 (77.9%) missing valuesMissing
폐업일자 has 46 (26.7%) missing valuesMissing
휴업시작일자 has 172 (100.0%) missing valuesMissing
휴업종료일자 has 172 (100.0%) missing valuesMissing
재개업일자 has 172 (100.0%) missing valuesMissing
전화번호 has 168 (97.7%) missing valuesMissing
소재지면적 has 172 (100.0%) missing valuesMissing
소재지우편번호 has 164 (95.3%) missing valuesMissing
도로명주소 has 4 (2.3%) missing valuesMissing
도로명우편번호 has 47 (27.3%) missing valuesMissing
업태구분명 has 172 (100.0%) missing valuesMissing
총층수 has 150 (87.2%) missing valuesMissing
주변환경명 has 169 (98.3%) missing valuesMissing
제작취급품목내용 has 66 (38.4%) missing valuesMissing
시설면적 has 10 (5.8%) missing valuesMissing
지상층수 has 132 (76.7%) missing valuesMissing
통로너비 has 172 (100.0%) missing valuesMissing
조명시설조도 has 172 (100.0%) missing valuesMissing
노래방실수 has 172 (100.0%) missing valuesMissing
청소년실수 has 172 (100.0%) missing valuesMissing
비상계단여부 has 172 (100.0%) missing valuesMissing
비상구여부 has 172 (100.0%) missing valuesMissing
자동환기여부 has 172 (100.0%) missing valuesMissing
청소년실여부 has 172 (100.0%) missing valuesMissing
특수조명여부 has 172 (100.0%) missing valuesMissing
방음시설여부 has 172 (100.0%) missing valuesMissing
비디오재생기명 has 172 (100.0%) missing valuesMissing
조명시설유무 has 172 (100.0%) missing valuesMissing
음향시설여부 has 172 (100.0%) missing valuesMissing
편의시설여부 has 172 (100.0%) missing valuesMissing
소방시설여부 has 172 (100.0%) missing valuesMissing
총게임기수 has 106 (61.6%) missing valuesMissing
기존게임업외업종명 has 172 (100.0%) missing valuesMissing
공연장형태구분명 has 172 (100.0%) missing valuesMissing
품목명 has 172 (100.0%) missing valuesMissing
최초등록시점 has 172 (100.0%) missing valuesMissing
지역구분명 has 167 (97.1%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
통로너비 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설조도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 09:03:05.156821
Analysis finished2024-05-11 09:03:06.817612
Duration1.66 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
3050000
172 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3050000
2nd row3050000
3rd row3050000
4th row3050000
5th row3050000

Common Values

ValueCountFrequency (%)
3050000 172
100.0%

Length

2024-05-11T09:03:07.079679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:03:07.418783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3050000 172
100.0%

관리번호
Text

UNIQUE 

Distinct172
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-05-11T09:03:08.018671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3440
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

Unique172 ?
Unique (%)100.0%

Sample

1st rowCDFF2241142007000001
2nd rowCDFF2241142007000002
3rd rowCDFF2241142007000003
4th rowCDFF2241142007000004
5th rowCDFF2241142007000005
ValueCountFrequency (%)
cdff2241142007000001 1
 
0.6%
cdff2241142016000017 1
 
0.6%
cdff2241142017000007 1
 
0.6%
cdff2241142016000010 1
 
0.6%
cdff2241142016000011 1
 
0.6%
cdff2241142016000012 1
 
0.6%
cdff2241142016000013 1
 
0.6%
cdff2241142016000014 1
 
0.6%
cdff2241142016000015 1
 
0.6%
cdff2241142016000016 1
 
0.6%
Other values (162) 162
94.2%
2024-05-11T09:03:08.966608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1032
30.0%
2 575
16.7%
1 533
15.5%
4 371
 
10.8%
F 344
 
10.0%
C 172
 
5.0%
D 172
 
5.0%
7 51
 
1.5%
9 44
 
1.3%
8 39
 
1.1%
Other values (3) 107
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2752
80.0%
Uppercase Letter 688
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1032
37.5%
2 575
20.9%
1 533
19.4%
4 371
 
13.5%
7 51
 
1.9%
9 44
 
1.6%
8 39
 
1.4%
5 37
 
1.3%
6 37
 
1.3%
3 33
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
F 344
50.0%
C 172
25.0%
D 172
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2752
80.0%
Latin 688
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1032
37.5%
2 575
20.9%
1 533
19.4%
4 371
 
13.5%
7 51
 
1.9%
9 44
 
1.6%
8 39
 
1.4%
5 37
 
1.3%
6 37
 
1.3%
3 33
 
1.2%
Latin
ValueCountFrequency (%)
F 344
50.0%
C 172
25.0%
D 172
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3440
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1032
30.0%
2 575
16.7%
1 533
15.5%
4 371
 
10.8%
F 344
 
10.0%
C 172
 
5.0%
D 172
 
5.0%
7 51
 
1.5%
9 44
 
1.3%
8 39
 
1.1%
Other values (3) 107
 
3.1%

인허가일자
Date

Distinct160
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2007-07-12 00:00:00
Maximum2024-03-20 00:00:00
2024-05-11T09:03:09.570815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:03:10.128609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct36
Distinct (%)94.7%
Missing134
Missing (%)77.9%
Memory size1.5 KiB
Minimum2008-08-05 00:00:00
Maximum2024-01-31 00:00:00
2024-05-11T09:03:10.553228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:03:11.130370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)

영업상태코드
Categorical

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
3
118 
4
47 
1
 
7

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 (%)
3 118
68.6%
4 47
 
27.3%
1 7
 
4.1%

Length

2024-05-11T09:03:11.790504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:03:12.254310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 118
68.6%
4 47
 
27.3%
1 7
 
4.1%

영업상태명
Categorical

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
폐업
118 
취소/말소/만료/정지/중지
47 
영업/정상
 
7

Length

Max length14
Median length2
Mean length5.4011628
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 118
68.6%
취소/말소/만료/정지/중지 47
 
27.3%
영업/정상 7
 
4.1%

Length

2024-05-11T09:03:12.765569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:03:13.288611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 118
68.6%
취소/말소/만료/정지/중지 47
 
27.3%
영업/정상 7
 
4.1%

상세영업상태코드
Categorical

Distinct4
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
3
118 
31
38 
35
 
9
13
 
7

Length

Max length2
Median length1
Mean length1.3139535
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 118
68.6%
31 38
 
22.1%
35 9
 
5.2%
13 7
 
4.1%

Length

2024-05-11T09:03:13.791172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:03:14.307510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 118
68.6%
31 38
 
22.1%
35 9
 
5.2%
13 7
 
4.1%

상세영업상태명
Categorical

Distinct4
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
폐업
118 
등록취소
38 
직권말소
 
9
영업중
 
7

Length

Max length4
Median length2
Mean length2.5872093
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 118
68.6%
등록취소 38
 
22.1%
직권말소 9
 
5.2%
영업중 7
 
4.1%

Length

2024-05-11T09:03:14.888815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:03:15.428008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 118
68.6%
등록취소 38
 
22.1%
직권말소 9
 
5.2%
영업중 7
 
4.1%

폐업일자
Date

MISSING 

Distinct116
Distinct (%)92.1%
Missing46
Missing (%)26.7%
Memory size1.5 KiB
Minimum2008-03-21 00:00:00
Maximum2023-07-14 00:00:00
2024-05-11T09:03:15.888356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:03:16.765905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing172
Missing (%)100.0%
Memory size1.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing172
Missing (%)100.0%
Memory size1.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing172
Missing (%)100.0%
Memory size1.6 KiB

전화번호
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing168
Missing (%)97.7%
Memory size1.5 KiB
2024-05-11T09:03:17.293756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length9.75
Min length9

Characters and Unicode

Total characters39
Distinct characters10
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st row2244-6262
2nd row2213-9814
3rd row02-3394-4764
4th row2214-0422
ValueCountFrequency (%)
2244-6262 1
25.0%
2213-9814 1
25.0%
02-3394-4764 1
25.0%
2214-0422 1
25.0%
2024-05-11T09:03:18.687509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 11
28.2%
4 8
20.5%
- 5
12.8%
6 3
 
7.7%
1 3
 
7.7%
3 3
 
7.7%
9 2
 
5.1%
0 2
 
5.1%
8 1
 
2.6%
7 1
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 34
87.2%
Dash Punctuation 5
 
12.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 11
32.4%
4 8
23.5%
6 3
 
8.8%
1 3
 
8.8%
3 3
 
8.8%
9 2
 
5.9%
0 2
 
5.9%
8 1
 
2.9%
7 1
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 39
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 11
28.2%
4 8
20.5%
- 5
12.8%
6 3
 
7.7%
1 3
 
7.7%
3 3
 
7.7%
9 2
 
5.1%
0 2
 
5.1%
8 1
 
2.6%
7 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 11
28.2%
4 8
20.5%
- 5
12.8%
6 3
 
7.7%
1 3
 
7.7%
3 3
 
7.7%
9 2
 
5.1%
0 2
 
5.1%
8 1
 
2.6%
7 1
 
2.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing172
Missing (%)100.0%
Memory size1.6 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing164
Missing (%)95.3%
Infinite0
Infinite (%)0.0%
Mean130842.75
Minimum130805
Maximum130867
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T09:03:19.233286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum130805
5-th percentile130815.85
Q1130839
median130843
Q3130852.5
95-th percentile130863.5
Maximum130867
Range62
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation18.281529
Coefficient of variation (CV)0.00013972137
Kurtosis2.5423052
Mean130842.75
Median Absolute Deviation (MAD)7.5
Skewness-1.1349874
Sum1046742
Variance334.21429
MonotonicityNot monotonic
2024-05-11T09:03:19.796808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
130836 1
 
0.6%
130805 1
 
0.6%
130851 1
 
0.6%
130842 1
 
0.6%
130840 1
 
0.6%
130867 1
 
0.6%
130857 1
 
0.6%
130844 1
 
0.6%
(Missing) 164
95.3%
ValueCountFrequency (%)
130805 1
0.6%
130836 1
0.6%
130840 1
0.6%
130842 1
0.6%
130844 1
0.6%
130851 1
0.6%
130857 1
0.6%
130867 1
0.6%
ValueCountFrequency (%)
130867 1
0.6%
130857 1
0.6%
130851 1
0.6%
130844 1
0.6%
130842 1
0.6%
130840 1
0.6%
130836 1
0.6%
130805 1
0.6%

지번주소
Text

Distinct154
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-05-11T09:03:20.619401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length33
Mean length26.122093
Min length19

Characters and Unicode

Total characters4493
Distinct characters69
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

Unique140 ?
Unique (%)81.4%

Sample

1st row서울특별시 동대문구 장안동 113-23번지 (2층)
2nd row서울특별시 동대문구 이문동 145-5번지 1층
3rd row서울특별시 동대문구 휘경동 286-336번지 (1층)
4th row서울특별시 동대문구 이문동 288-48번지 (3층)
5th row서울특별시 동대문구 이문동 305-6번지 (1층)
ValueCountFrequency (%)
서울특별시 172
21.5%
동대문구 172
21.5%
장안동 73
 
9.1%
1층 29
 
3.6%
이문동 27
 
3.4%
지하1층 26
 
3.2%
전농동 18
 
2.2%
2층 14
 
1.8%
답십리동 12
 
1.5%
제기동 10
 
1.2%
Other values (168) 247
30.9%
2024-05-11T09:03:22.224240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
788
17.5%
동 348
 
7.7%
문 199
 
4.4%
1 180
 
4.0%
지 174
 
3.9%
서 173
 
3.9%
울 173
 
3.9%
특 172
 
3.8%
별 172
 
3.8%
시 172
 
3.8%
Other values (59) 1942
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2578
57.4%
Decimal Number 855
 
19.0%
Space Separator 788
 
17.5%
Dash Punctuation 165
 
3.7%
Close Punctuation 49
 
1.1%
Open Punctuation 49
 
1.1%
Uppercase Letter 8
 
0.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 348
13.5%
문 199
 
7.7%
지 174
 
6.7%
서 173
 
6.7%
울 173
 
6.7%
특 172
 
6.7%
별 172
 
6.7%
시 172
 
6.7%
대 172
 
6.7%
구 172
 
6.7%
Other values (42) 651
25.3%
Decimal Number
ValueCountFrequency (%)
1 180
21.1%
3 128
15.0%
2 109
12.7%
6 86
10.1%
4 76
8.9%
5 73
8.5%
8 65
 
7.6%
9 50
 
5.8%
0 45
 
5.3%
7 43
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
F 5
62.5%
B 3
37.5%
Space Separator
ValueCountFrequency (%)
788
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 165
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2578
57.4%
Common 1907
42.4%
Latin 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 348
13.5%
문 199
 
7.7%
지 174
 
6.7%
서 173
 
6.7%
울 173
 
6.7%
특 172
 
6.7%
별 172
 
6.7%
시 172
 
6.7%
대 172
 
6.7%
구 172
 
6.7%
Other values (42) 651
25.3%
Common
ValueCountFrequency (%)
788
41.3%
1 180
 
9.4%
- 165
 
8.7%
3 128
 
6.7%
2 109
 
5.7%
6 86
 
4.5%
4 76
 
4.0%
5 73
 
3.8%
8 65
 
3.4%
9 50
 
2.6%
Other values (5) 187
 
9.8%
Latin
ValueCountFrequency (%)
F 5
62.5%
B 3
37.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2578
57.4%
ASCII 1915
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
788
41.1%
1 180
 
9.4%
- 165
 
8.6%
3 128
 
6.7%
2 109
 
5.7%
6 86
 
4.5%
4 76
 
4.0%
5 73
 
3.8%
8 65
 
3.4%
9 50
 
2.6%
Other values (7) 195
 
10.2%
Hangul
ValueCountFrequency (%)
동 348
13.5%
문 199
 
7.7%
지 174
 
6.7%
서 173
 
6.7%
울 173
 
6.7%
특 172
 
6.7%
별 172
 
6.7%
시 172
 
6.7%
대 172
 
6.7%
구 172
 
6.7%
Other values (42) 651
25.3%

도로명주소
Text

MISSING 

Distinct156
Distinct (%)92.9%
Missing4
Missing (%)2.3%
Memory size1.5 KiB
2024-05-11T09:03:22.914744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length41
Mean length30.303571
Min length22

Characters and Unicode

Total characters5091
Distinct characters96
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

Unique146 ?
Unique (%)86.9%

Sample

1st row서울특별시 동대문구 한천로 185 (장안동,(2층))
2nd row서울특별시 동대문구 휘경로3길 67 (이문동)
3rd row서울특별시 동대문구 망우로12가길 33 (휘경동)
4th row서울특별시 동대문구 휘경로 8 (이문동,(3층))
5th row서울특별시 동대문구 휘경로2길 13 (이문동,(1층))
ValueCountFrequency (%)
서울특별시 168
 
17.4%
동대문구 168
 
17.4%
장안동 51
 
5.3%
1층 34
 
3.5%
이문동 25
 
2.6%
2층 23
 
2.4%
3층 20
 
2.1%
지하1층 14
 
1.5%
장한로 13
 
1.3%
전농동 12
 
1.2%
Other values (213) 437
45.3%
2024-05-11T09:03:24.068835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
839
 
16.5%
동 342
 
6.7%
1 217
 
4.3%
) 207
 
4.1%
( 207
 
4.1%
문 204
 
4.0%
대 186
 
3.7%
서 169
 
3.3%
울 169
 
3.3%
시 169
 
3.3%
Other values (86) 2382
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2935
57.7%
Space Separator 839
 
16.5%
Decimal Number 710
 
13.9%
Close Punctuation 207
 
4.1%
Open Punctuation 207
 
4.1%
Other Punctuation 157
 
3.1%
Dash Punctuation 32
 
0.6%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 342
 
11.7%
문 204
 
7.0%
대 186
 
6.3%
서 169
 
5.8%
울 169
 
5.8%
시 169
 
5.8%
로 168
 
5.7%
구 168
 
5.7%
별 168
 
5.7%
특 168
 
5.7%
Other values (69) 1024
34.9%
Decimal Number
ValueCountFrequency (%)
1 217
30.6%
2 157
22.1%
3 77
 
10.8%
4 57
 
8.0%
6 43
 
6.1%
0 39
 
5.5%
5 39
 
5.5%
7 30
 
4.2%
8 26
 
3.7%
9 25
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
F 2
50.0%
B 2
50.0%
Space Separator
ValueCountFrequency (%)
839
100.0%
Close Punctuation
ValueCountFrequency (%)
) 207
100.0%
Open Punctuation
ValueCountFrequency (%)
( 207
100.0%
Other Punctuation
ValueCountFrequency (%)
, 157
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2935
57.7%
Common 2152
42.3%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 342
 
11.7%
문 204
 
7.0%
대 186
 
6.3%
서 169
 
5.8%
울 169
 
5.8%
시 169
 
5.8%
로 168
 
5.7%
구 168
 
5.7%
별 168
 
5.7%
특 168
 
5.7%
Other values (69) 1024
34.9%
Common
ValueCountFrequency (%)
839
39.0%
1 217
 
10.1%
) 207
 
9.6%
( 207
 
9.6%
, 157
 
7.3%
2 157
 
7.3%
3 77
 
3.6%
4 57
 
2.6%
6 43
 
2.0%
0 39
 
1.8%
Other values (5) 152
 
7.1%
Latin
ValueCountFrequency (%)
F 2
50.0%
B 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2935
57.7%
ASCII 2156
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
839
38.9%
1 217
 
10.1%
) 207
 
9.6%
( 207
 
9.6%
, 157
 
7.3%
2 157
 
7.3%
3 77
 
3.6%
4 57
 
2.6%
6 43
 
2.0%
0 39
 
1.8%
Other values (7) 156
 
7.2%
Hangul
ValueCountFrequency (%)
동 342
 
11.7%
문 204
 
7.0%
대 186
 
6.3%
서 169
 
5.8%
울 169
 
5.8%
시 169
 
5.8%
로 168
 
5.7%
구 168
 
5.7%
별 168
 
5.7%
특 168
 
5.7%
Other values (69) 1024
34.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)45.6%
Missing47
Missing (%)27.3%
Infinite0
Infinite (%)0.0%
Mean24085.976
Minimum2415
Maximum130872
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T09:03:24.614177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2415
5-th percentile2419
Q12473
median2555
Q32637
95-th percentile130840
Maximum130872
Range128457
Interquartile range (IQR)164

Descriptive statistics

Standard deviation48161.993
Coefficient of variation (CV)1.9995865
Kurtosis1.2514066
Mean24085.976
Median Absolute Deviation (MAD)82
Skewness1.7976716
Sum3010747
Variance2.3195776 × 109
MonotonicityNot monotonic
2024-05-11T09:03:25.255866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
130840 7
 
4.1%
2637 6
 
3.5%
2639 6
 
3.5%
2624 5
 
2.9%
2473 5
 
2.9%
2418 5
 
2.9%
2454 5
 
2.9%
2627 4
 
2.3%
2419 4
 
2.3%
2441 4
 
2.3%
Other values (47) 74
43.0%
(Missing) 47
27.3%
ValueCountFrequency (%)
2415 1
 
0.6%
2418 5
2.9%
2419 4
2.3%
2420 2
 
1.2%
2427 1
 
0.6%
2436 1
 
0.6%
2439 1
 
0.6%
2440 2
 
1.2%
2441 4
2.3%
2446 2
 
1.2%
ValueCountFrequency (%)
130872 1
 
0.6%
130865 1
 
0.6%
130851 2
 
1.2%
130842 2
 
1.2%
130840 7
4.1%
130836 1
 
0.6%
130835 1
 
0.6%
130826 1
 
0.6%
130820 1
 
0.6%
130817 1
 
0.6%

사업장명
Text

Distinct149
Distinct (%)86.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-05-11T09:03:25.850892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length5.5930233
Min length1

Characters and Unicode

Total characters962
Distinct characters206
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique133 ?
Unique (%)77.3%

Sample

1st row월드
2nd row즐거운
3rd row휘경
4th row엑스윈
5th row스타워즈
ValueCountFrequency (%)
게임랜드 9
 
4.7%
게임월드 4
 
2.1%
장안게임장 3
 
1.6%
행운게임장 3
 
1.6%
미래게임장 3
 
1.6%
한강게임랜드 2
 
1.0%
즐거운 2
 
1.0%
game 2
 
1.0%
놀러와 2
 
1.0%
태양게임장 2
 
1.0%
Other values (151) 161
83.4%
2024-05-11T09:03:27.248515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 104
 
10.8%
임 104
 
10.8%
드 67
 
7.0%
랜 56
 
5.8%
장 44
 
4.6%
뽑 23
 
2.4%
23
 
2.4%
스 21
 
2.2%
방 21
 
2.2%
기 17
 
1.8%
Other values (196) 482
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 867
90.1%
Uppercase Letter 33
 
3.4%
Space Separator 23
 
2.4%
Decimal Number 16
 
1.7%
Lowercase Letter 12
 
1.2%
Close Punctuation 3
 
0.3%
Open Punctuation 3
 
0.3%
Dash Punctuation 3
 
0.3%
Other Punctuation 1
 
0.1%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 104
 
12.0%
임 104
 
12.0%
드 67
 
7.7%
랜 56
 
6.5%
장 44
 
5.1%
뽑 23
 
2.7%
스 21
 
2.4%
방 21
 
2.4%
기 17
 
2.0%
리 14
 
1.6%
Other values (153) 396
45.7%
Uppercase Letter
ValueCountFrequency (%)
G 5
15.2%
E 4
12.1%
O 4
12.1%
A 4
12.1%
M 2
 
6.1%
N 2
 
6.1%
F 2
 
6.1%
Z 1
 
3.0%
K 1
 
3.0%
R 1
 
3.0%
Other values (7) 7
21.2%
Lowercase Letter
ValueCountFrequency (%)
a 2
16.7%
e 1
8.3%
h 1
8.3%
s 1
8.3%
i 1
8.3%
y 1
8.3%
o 1
8.3%
k 1
8.3%
r 1
8.3%
p 1
8.3%
Decimal Number
ValueCountFrequency (%)
4 3
18.8%
2 3
18.8%
0 2
12.5%
7 2
12.5%
8 2
12.5%
1 1
 
6.2%
3 1
 
6.2%
6 1
 
6.2%
9 1
 
6.2%
Space Separator
ValueCountFrequency (%)
23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
# 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 867
90.1%
Common 49
 
5.1%
Latin 46
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 104
 
12.0%
임 104
 
12.0%
드 67
 
7.7%
랜 56
 
6.5%
장 44
 
5.1%
뽑 23
 
2.7%
스 21
 
2.4%
방 21
 
2.4%
기 17
 
2.0%
리 14
 
1.6%
Other values (153) 396
45.7%
Latin
ValueCountFrequency (%)
G 5
 
10.9%
E 4
 
8.7%
O 4
 
8.7%
A 4
 
8.7%
a 2
 
4.3%
M 2
 
4.3%
N 2
 
4.3%
F 2
 
4.3%
Z 1
 
2.2%
K 1
 
2.2%
Other values (19) 19
41.3%
Common
ValueCountFrequency (%)
23
46.9%
) 3
 
6.1%
( 3
 
6.1%
- 3
 
6.1%
4 3
 
6.1%
2 3
 
6.1%
0 2
 
4.1%
7 2
 
4.1%
8 2
 
4.1%
# 1
 
2.0%
Other values (4) 4
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 867
90.1%
ASCII 94
 
9.8%
Number Forms 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 104
 
12.0%
임 104
 
12.0%
드 67
 
7.7%
랜 56
 
6.5%
장 44
 
5.1%
뽑 23
 
2.7%
스 21
 
2.4%
방 21
 
2.4%
기 17
 
2.0%
리 14
 
1.6%
Other values (153) 396
45.7%
ASCII
ValueCountFrequency (%)
23
24.5%
G 5
 
5.3%
E 4
 
4.3%
O 4
 
4.3%
A 4
 
4.3%
) 3
 
3.2%
( 3
 
3.2%
- 3
 
3.2%
4 3
 
3.2%
2 3
 
3.2%
Other values (32) 39
41.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct172
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2008-03-21 17:01:16
Maximum2024-03-20 14:40:50
2024-05-11T09:03:27.737623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:03:28.166968image/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 size1.5 KiB
I
108 
U
64 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 108
62.8%
U 64
37.2%

Length

2024-05-11T09:03:28.542478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:03:28.907202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 108
62.8%
u 64
37.2%

데이터갱신일자
Date

Distinct51
Distinct (%)29.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:07:00
2024-05-11T09:03:29.448914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:03:29.889450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing172
Missing (%)100.0%
Memory size1.6 KiB

좌표정보(X)
Real number (ℝ)

Distinct133
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean205154.83
Minimum202396.72
Maximum206341.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T09:03:30.434858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202396.72
5-th percentile203282.87
Q1204457.6
median205413.02
Q3206069.03
95-th percentile206246.4
Maximum206341.35
Range3944.6223
Interquartile range (IQR)1611.4281

Descriptive statistics

Standard deviation1006.4245
Coefficient of variation (CV)0.0049056826
Kurtosis-0.67723617
Mean205154.83
Median Absolute Deviation (MAD)736.08851
Skewness-0.69783283
Sum35286631
Variance1012890.3
MonotonicityNot monotonic
2024-05-11T09:03:31.172449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204122.386097777 5
 
2.9%
206215.460677875 4
 
2.3%
205396.363734301 4
 
2.3%
205958.692226613 4
 
2.3%
203904.268269626 3
 
1.7%
206341.34684275 3
 
1.7%
204081.282117393 3
 
1.7%
205895.263311861 3
 
1.7%
205571.898958419 3
 
1.7%
206179.04508796 3
 
1.7%
Other values (123) 137
79.7%
ValueCountFrequency (%)
202396.724538342 1
0.6%
202775.559986374 1
0.6%
202979.871877406 1
0.6%
203013.946282056 1
0.6%
203037.852378704 1
0.6%
203083.136998911 1
0.6%
203186.11578431 1
0.6%
203279.946486213 2
1.2%
203285.254887443 1
0.6%
203359.436277706 1
0.6%
ValueCountFrequency (%)
206341.34684275 3
1.7%
206328.901807688 1
 
0.6%
206325.349431713 1
 
0.6%
206284.625271152 1
 
0.6%
206279.689993328 1
 
0.6%
206265.584701329 1
 
0.6%
206255.326876991 1
 
0.6%
206239.099846845 1
 
0.6%
206231.420255296 1
 
0.6%
206227.938389035 1
 
0.6%

좌표정보(Y)
Real number (ℝ)

Distinct133
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean453002.1
Minimum451049.96
Maximum455134.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T09:03:31.850808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451049.96
5-th percentile451700.62
Q1451996.56
median452799.97
Q3454067.18
95-th percentile454908.77
Maximum455134.54
Range4084.5797
Interquartile range (IQR)2070.6203

Descriptive statistics

Standard deviation1133.7044
Coefficient of variation (CV)0.0025026471
Kurtosis-1.0457248
Mean453002.1
Median Absolute Deviation (MAD)852.94162
Skewness0.46312477
Sum77916361
Variance1285285.7
MonotonicityNot monotonic
2024-05-11T09:03:32.382360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452061.863009822 5
 
2.9%
451923.08351417 4
 
2.3%
455131.683241064 4
 
2.3%
452778.527361798 4
 
2.3%
452972.731550191 3
 
1.7%
452027.065551846 3
 
1.7%
453187.395154017 3
 
1.7%
451700.620569786 3
 
1.7%
451821.005176654 3
 
1.7%
451908.79617712 3
 
1.7%
Other values (123) 137
79.7%
ValueCountFrequency (%)
451049.960154453 1
 
0.6%
451128.834904339 1
 
0.6%
451150.088099061 2
1.2%
451560.929903389 1
 
0.6%
451612.559450017 1
 
0.6%
451636.641316 1
 
0.6%
451657.132891614 1
 
0.6%
451700.620569786 3
1.7%
451706.003571094 1
 
0.6%
451755.379569356 1
 
0.6%
ValueCountFrequency (%)
455134.539842492 1
 
0.6%
455131.683241064 4
2.3%
455107.096963252 1
 
0.6%
455096.880194899 1
 
0.6%
455089.926173852 1
 
0.6%
454914.645537489 1
 
0.6%
454903.971263597 1
 
0.6%
454895.787922659 1
 
0.6%
454874.254865697 1
 
0.6%
454871.62553982 1
 
0.6%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
청소년게임제공업
162 
<NA>
 
10

Length

Max length8
Median length8
Mean length7.7674419
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청소년게임제공업 162
94.2%
<NA> 10
 
5.8%

Length

2024-05-11T09:03:33.053644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:03:33.405285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청소년게임제공업 162
94.2%
na 10
 
5.8%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
유통관련업
162 
<NA>
 
10

Length

Max length5
Median length5
Mean length4.9418605
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 162
94.2%
<NA> 10
 
5.8%

Length

2024-05-11T09:03:33.772439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:03:34.127204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 162
94.2%
na 10
 
5.8%

총층수
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)31.8%
Missing150
Missing (%)87.2%
Infinite0
Infinite (%)0.0%
Mean4.5909091
Minimum3
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T09:03:34.447077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13.25
median4
Q35
95-th percentile8.9
Maximum10
Range7
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.8938268
Coefficient of variation (CV)0.41251674
Kurtosis2.9817643
Mean4.5909091
Median Absolute Deviation (MAD)1
Skewness1.8118137
Sum101
Variance3.5865801
MonotonicityNot monotonic
2024-05-11T09:03:34.810529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 9
 
5.2%
3 6
 
3.5%
5 3
 
1.7%
9 1
 
0.6%
6 1
 
0.6%
7 1
 
0.6%
10 1
 
0.6%
(Missing) 150
87.2%
ValueCountFrequency (%)
3 6
3.5%
4 9
5.2%
5 3
 
1.7%
6 1
 
0.6%
7 1
 
0.6%
9 1
 
0.6%
10 1
 
0.6%
ValueCountFrequency (%)
10 1
 
0.6%
9 1
 
0.6%
7 1
 
0.6%
6 1
 
0.6%
5 3
 
1.7%
4 9
5.2%
3 6
3.5%

주변환경명
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing169
Missing (%)98.3%
Memory size1.5 KiB
2024-05-11T09:03:35.176687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5
Min length2

Characters and Unicode

Total characters15
Distinct characters14
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

Unique3 ?
Unique (%)100.0%

Sample

1st row유흥업소밀집지역
2nd row주택가주변
3rd row기타
ValueCountFrequency (%)
유흥업소밀집지역 1
33.3%
주택가주변 1
33.3%
기타 1
33.3%
2024-05-11T09:03:35.977768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2
13.3%
유 1
 
6.7%
흥 1
 
6.7%
업 1
 
6.7%
소 1
 
6.7%
밀 1
 
6.7%
집 1
 
6.7%
지 1
 
6.7%
역 1
 
6.7%
택 1
 
6.7%
Other values (4) 4
26.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2
13.3%
유 1
 
6.7%
흥 1
 
6.7%
업 1
 
6.7%
소 1
 
6.7%
밀 1
 
6.7%
집 1
 
6.7%
지 1
 
6.7%
역 1
 
6.7%
택 1
 
6.7%
Other values (4) 4
26.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2
13.3%
유 1
 
6.7%
흥 1
 
6.7%
업 1
 
6.7%
소 1
 
6.7%
밀 1
 
6.7%
집 1
 
6.7%
지 1
 
6.7%
역 1
 
6.7%
택 1
 
6.7%
Other values (4) 4
26.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2
13.3%
유 1
 
6.7%
흥 1
 
6.7%
업 1
 
6.7%
소 1
 
6.7%
밀 1
 
6.7%
집 1
 
6.7%
지 1
 
6.7%
역 1
 
6.7%
택 1
 
6.7%
Other values (4) 4
26.7%

제작취급품목내용
Text

MISSING 

Distinct92
Distinct (%)86.8%
Missing66
Missing (%)38.4%
Memory size1.5 KiB
2024-05-11T09:03:36.488961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length33
Mean length12.330189
Min length2

Characters and Unicode

Total characters1307
Distinct characters227
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)80.2%

Sample

1st row언더마린ver1.1
2nd rowBang ul sori(방울소리)
3rd row테트리스 外 11종
4th row아케이드게임물
5th row아케이드게임물
ValueCountFrequency (%)
토이즈팝 13
 
5.5%
40대 11
 
4.6%
씨배틀3 6
 
2.5%
sea 4
 
1.7%
30대 4
 
1.7%
3 4
 
1.7%
외 4
 
1.7%
허리케인 4
 
1.7%
조아조아 3
 
1.3%
10대 3
 
1.3%
Other values (155) 181
76.4%
2024-05-11T09:03:37.393016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
169
 
12.9%
대 46
 
3.5%
, 42
 
3.2%
이 41
 
3.1%
0 27
 
2.1%
2 25
 
1.9%
3 22
 
1.7%
스 22
 
1.7%
1 20
 
1.5%
아 20
 
1.5%
Other values (217) 873
66.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 738
56.5%
Space Separator 169
 
12.9%
Decimal Number 123
 
9.4%
Lowercase Letter 98
 
7.5%
Uppercase Letter 96
 
7.3%
Other Punctuation 45
 
3.4%
Close Punctuation 17
 
1.3%
Open Punctuation 17
 
1.3%
Dash Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 46
 
6.2%
이 41
 
5.6%
스 22
 
3.0%
아 20
 
2.7%
토 20
 
2.7%
팝 16
 
2.2%
즈 16
 
2.2%
인 16
 
2.2%
리 15
 
2.0%
드 14
 
1.9%
Other values (163) 512
69.4%
Lowercase Letter
ValueCountFrequency (%)
e 17
17.3%
a 10
10.2%
h 7
 
7.1%
r 7
 
7.1%
n 6
 
6.1%
s 6
 
6.1%
l 6
 
6.1%
u 5
 
5.1%
i 5
 
5.1%
o 5
 
5.1%
Other values (10) 24
24.5%
Uppercase Letter
ValueCountFrequency (%)
S 11
11.5%
A 10
 
10.4%
E 9
 
9.4%
T 7
 
7.3%
P 7
 
7.3%
C 6
 
6.2%
N 6
 
6.2%
R 5
 
5.2%
U 5
 
5.2%
L 5
 
5.2%
Other values (8) 25
26.0%
Decimal Number
ValueCountFrequency (%)
0 27
22.0%
2 25
20.3%
3 22
17.9%
1 20
16.3%
4 14
11.4%
5 9
 
7.3%
6 5
 
4.1%
8 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 42
93.3%
& 1
 
2.2%
@ 1
 
2.2%
. 1
 
2.2%
Space Separator
ValueCountFrequency (%)
169
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 737
56.4%
Common 375
28.7%
Latin 194
 
14.8%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 46
 
6.2%
이 41
 
5.6%
스 22
 
3.0%
아 20
 
2.7%
토 20
 
2.7%
팝 16
 
2.2%
즈 16
 
2.2%
인 16
 
2.2%
리 15
 
2.0%
드 14
 
1.9%
Other values (162) 511
69.3%
Latin
ValueCountFrequency (%)
e 17
 
8.8%
S 11
 
5.7%
a 10
 
5.2%
A 10
 
5.2%
E 9
 
4.6%
h 7
 
3.6%
T 7
 
3.6%
P 7
 
3.6%
r 7
 
3.6%
n 6
 
3.1%
Other values (28) 103
53.1%
Common
ValueCountFrequency (%)
169
45.1%
, 42
 
11.2%
0 27
 
7.2%
2 25
 
6.7%
3 22
 
5.9%
1 20
 
5.3%
) 17
 
4.5%
( 17
 
4.5%
4 14
 
3.7%
5 9
 
2.4%
Other values (6) 13
 
3.5%
Han
ValueCountFrequency (%)
外 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 737
56.4%
ASCII 569
43.5%
CJK 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
169
29.7%
, 42
 
7.4%
0 27
 
4.7%
2 25
 
4.4%
3 22
 
3.9%
1 20
 
3.5%
) 17
 
3.0%
( 17
 
3.0%
e 17
 
3.0%
4 14
 
2.5%
Other values (44) 199
35.0%
Hangul
ValueCountFrequency (%)
대 46
 
6.2%
이 41
 
5.6%
스 22
 
3.0%
아 20
 
2.7%
토 20
 
2.7%
팝 16
 
2.2%
즈 16
 
2.2%
인 16
 
2.2%
리 15
 
2.0%
드 14
 
1.9%
Other values (162) 511
69.3%
CJK
ValueCountFrequency (%)
外 1
100.0%

시설면적
Real number (ℝ)

MISSING 

Distinct140
Distinct (%)86.4%
Missing10
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean126.63685
Minimum0
Maximum431.7
Zeros1
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T09:03:37.839498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile25
Q182.875
median118.755
Q3168.275
95-th percentile244.401
Maximum431.7
Range431.7
Interquartile range (IQR)85.4

Descriptive statistics

Standard deviation73.551506
Coefficient of variation (CV)0.5808065
Kurtosis3.2306467
Mean126.63685
Median Absolute Deviation (MAD)41.62
Skewness1.2437922
Sum20515.17
Variance5409.824
MonotonicityNot monotonic
2024-05-11T09:03:38.296729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
107.42 3
 
1.7%
102.75 3
 
1.7%
214.0 2
 
1.2%
431.7 2
 
1.2%
98.0 2
 
1.2%
190.0 2
 
1.2%
186.32 2
 
1.2%
168.3 2
 
1.2%
111.22 2
 
1.2%
129.0 2
 
1.2%
Other values (130) 140
81.4%
(Missing) 10
 
5.8%
ValueCountFrequency (%)
0.0 1
0.6%
1.0 1
0.6%
15.0 1
0.6%
16.2 1
0.6%
18.0 1
0.6%
20.0 1
0.6%
23.1 1
0.6%
24.56 1
0.6%
25.0 2
1.2%
27.0 1
0.6%
ValueCountFrequency (%)
431.7 2
1.2%
346.81 1
0.6%
345.44 1
0.6%
307.24 1
0.6%
299.56 1
0.6%
281.52 1
0.6%
265.8 1
0.6%
245.88 1
0.6%
216.3 2
1.2%
216.03 1
0.6%

지상층수
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)20.0%
Missing132
Missing (%)76.7%
Infinite0
Infinite (%)0.0%
Mean2.875
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T09:03:38.675918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2.5
Q33
95-th percentile7.05
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.9636113
Coefficient of variation (CV)0.68299523
Kurtosis1.2219471
Mean2.875
Median Absolute Deviation (MAD)1
Skewness1.338502
Sum115
Variance3.8557692
MonotonicityNot monotonic
2024-05-11T09:03:39.071767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 11
 
6.4%
1 11
 
6.4%
2 9
 
5.2%
4 3
 
1.7%
8 2
 
1.2%
7 2
 
1.2%
5 1
 
0.6%
6 1
 
0.6%
(Missing) 132
76.7%
ValueCountFrequency (%)
1 11
6.4%
2 9
5.2%
3 11
6.4%
4 3
 
1.7%
5 1
 
0.6%
6 1
 
0.6%
7 2
 
1.2%
8 2
 
1.2%
ValueCountFrequency (%)
8 2
 
1.2%
7 2
 
1.2%
6 1
 
0.6%
5 1
 
0.6%
4 3
 
1.7%
3 11
6.4%
2 9
5.2%
1 11
6.4%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
160 
1
 
10
2
 
2

Length

Max length4
Median length4
Mean length3.7906977
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> 160
93.0%
1 10
 
5.8%
2 2
 
1.2%

Length

2024-05-11T09:03:39.548841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:03:40.029013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 160
93.0%
1 10
 
5.8%
2 2
 
1.2%

건물용도명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
154 
근린생활시설
17 
호텔
 
1

Length

Max length6
Median length4
Mean length4.1860465
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 154
89.5%
근린생활시설 17
 
9.9%
호텔 1
 
0.6%

Length

2024-05-11T09:03:40.591500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:03:40.966793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 154
89.5%
근린생활시설 17
 
9.9%
호텔 1
 
0.6%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing172
Missing (%)100.0%
Memory size1.6 KiB

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing172
Missing (%)100.0%
Memory size1.6 KiB

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing172
Missing (%)100.0%
Memory size1.6 KiB

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing172
Missing (%)100.0%
Memory size1.6 KiB

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing172
Missing (%)100.0%
Memory size1.6 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing172
Missing (%)100.0%
Memory size1.6 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing172
Missing (%)100.0%
Memory size1.6 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing172
Missing (%)100.0%
Memory size1.6 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing172
Missing (%)100.0%
Memory size1.6 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing172
Missing (%)100.0%
Memory size1.6 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing172
Missing (%)100.0%
Memory size1.6 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing172
Missing (%)100.0%
Memory size1.6 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing172
Missing (%)100.0%
Memory size1.6 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing172
Missing (%)100.0%
Memory size1.6 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing172
Missing (%)100.0%
Memory size1.6 KiB

총게임기수
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)36.4%
Missing106
Missing (%)61.6%
Infinite0
Infinite (%)0.0%
Mean33.015152
Minimum2
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T09:03:41.948982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile7.25
Q112
median40
Q346
95-th percentile60
Maximum60
Range58
Interquartile range (IQR)34

Descriptive statistics

Standard deviation18.397736
Coefficient of variation (CV)0.5572513
Kurtosis-1.4106053
Mean33.015152
Median Absolute Deviation (MAD)10
Skewness-0.23532849
Sum2179
Variance338.47669
MonotonicityNot monotonic
2024-05-11T09:03:42.396110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
40 15
 
8.7%
50 8
 
4.7%
60 7
 
4.1%
10 5
 
2.9%
9 4
 
2.3%
45 4
 
2.3%
46 3
 
1.7%
8 2
 
1.2%
6 2
 
1.2%
12 2
 
1.2%
Other values (14) 14
 
8.1%
(Missing) 106
61.6%
ValueCountFrequency (%)
2 1
 
0.6%
6 2
 
1.2%
7 1
 
0.6%
8 2
 
1.2%
9 4
2.3%
10 5
2.9%
11 1
 
0.6%
12 2
 
1.2%
13 1
 
0.6%
14 1
 
0.6%
ValueCountFrequency (%)
60 7
4.1%
50 8
4.7%
49 1
 
0.6%
46 3
 
1.7%
45 4
 
2.3%
44 1
 
0.6%
40 15
8.7%
35 1
 
0.6%
30 1
 
0.6%
25 1
 
0.6%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing172
Missing (%)100.0%
Memory size1.6 KiB

제공게임물명
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
전체이용가
133 
<NA>
39 

Length

Max length5
Median length5
Mean length4.7732558
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전체이용가 133
77.3%
<NA> 39
 
22.7%

Length

2024-05-11T09:03:42.915310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:03:43.252498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체이용가 133
77.3%
na 39
 
22.7%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing172
Missing (%)100.0%
Memory size1.6 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing172
Missing (%)100.0%
Memory size1.6 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing172
Missing (%)100.0%
Memory size1.6 KiB

지역구분명
Text

MISSING 

Distinct4
Distinct (%)80.0%
Missing167
Missing (%)97.1%
Memory size1.5 KiB
2024-05-11T09:03:43.690469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.8
Min length5

Characters and Unicode

Total characters29
Distinct characters11
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

Unique3 ?
Unique (%)60.0%

Sample

1st row일반상업지역
2nd row일반주거지역
3rd row일반상업지역
4th row준주거지역
5th row근린상업지역
ValueCountFrequency (%)
일반상업지역 2
40.0%
일반주거지역 1
20.0%
준주거지역 1
20.0%
근린상업지역 1
20.0%
2024-05-11T09:03:44.661705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 5
17.2%
역 5
17.2%
일 3
10.3%
반 3
10.3%
상 3
10.3%
업 3
10.3%
주 2
 
6.9%
거 2
 
6.9%
준 1
 
3.4%
근 1
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 5
17.2%
역 5
17.2%
일 3
10.3%
반 3
10.3%
상 3
10.3%
업 3
10.3%
주 2
 
6.9%
거 2
 
6.9%
준 1
 
3.4%
근 1
 
3.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 5
17.2%
역 5
17.2%
일 3
10.3%
반 3
10.3%
상 3
10.3%
업 3
10.3%
주 2
 
6.9%
거 2
 
6.9%
준 1
 
3.4%
근 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 5
17.2%
역 5
17.2%
일 3
10.3%
반 3
10.3%
상 3
10.3%
업 3
10.3%
주 2
 
6.9%
거 2
 
6.9%
준 1
 
3.4%
근 1
 
3.4%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03050000CDFF224114200700000120070712<NA>3폐업3폐업20090303<NA><NA><NA><NA><NA>130836서울특별시 동대문구 장안동 113-23번지 (2층)서울특별시 동대문구 한천로 185 (장안동,(2층))<NA>월드2009-03-04 11:28:05I2018-08-31 23:59:59.0<NA>205917.522937452800.45942청소년게임제공업유통관련업<NA><NA><NA>99.0<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>
13050000CDFF224114200700000220070807<NA>3폐업3폐업20181107<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 이문동 145-5번지 1층서울특별시 동대문구 휘경로3길 67 (이문동)2415즐거운2018-11-12 07:57:12U2018-11-14 02:36:01.0<NA>205568.628313455107.096963청소년게임제공업유통관련업<NA><NA><NA>77.26<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23050000CDFF224114200700000320071107<NA>3폐업3폐업20200326<NA><NA><NA>2244-6262<NA><NA>서울특별시 동대문구 휘경동 286-336번지 (1층)서울특별시 동대문구 망우로12가길 33 (휘경동)2496휘경2020-03-26 14:52:47U2020-03-28 02:40:00.0<NA>205313.970399454085.465843청소년게임제공업유통관련업<NA><NA><NA>66.0<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>
33050000CDFF224114200700000420071115<NA>3폐업3폐업20121029<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 이문동 288-48번지 (3층)서울특별시 동대문구 휘경로 8 (이문동,(3층))<NA>엑스윈2013-03-06 15:31:51I2018-08-31 23:59:59.0<NA>205308.52833454853.510429청소년게임제공업유통관련업<NA><NA><NA>74.16<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>
43050000CDFF224114200700000520071115<NA>3폐업3폐업20100422<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 이문동 305-6번지 (1층)서울특별시 동대문구 휘경로2길 13 (이문동,(1층))<NA>스타워즈2010-04-22 18:41:49I2018-08-31 23:59:59.0<NA>205311.253794454788.606364청소년게임제공업유통관련업<NA><NA><NA>1.0<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>
53050000CDFF224114200700000620071122<NA>4취소/말소/만료/정지/중지35직권말소20130103<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 용두동 233-19번지 (1층)서울특별시 동대문구 왕산로9길 20 (용두동,(1층))<NA>포그니2013-01-03 09:56:11I2018-08-31 23:59:59.0<NA>202396.724538452859.954606청소년게임제공업유통관련업<NA><NA><NA>82.5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63050000CDFF224114200700000720071123<NA>4취소/말소/만료/정지/중지35직권말소20130103<NA><NA><NA>2213-9814<NA><NA>서울특별시 동대문구 전농동 295-444번지 (3층)서울특별시 동대문구 전농로 128 (전농동,(3층))<NA>플스플러스2013-01-03 10:13:11I2018-08-31 23:59:59.0<NA>205117.871124452968.332265청소년게임제공업유통관련업<NA><NA><NA>0.0<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>
73050000CDFF224114200800000120080124200808054취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>02-3394-4764<NA>130805서울특별시 동대문구 답십리동 495-5번지 상명빌딩 2층<NA><NA>풀스종합게임방2008-08-06 16:30:09I2018-08-31 23:59:59.0<NA>204574.467475451657.132892청소년게임제공업유통관련업<NA><NA><NA>145.44<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>
83050000CDFF224114200800000220080227<NA>3폐업3폐업20080321<NA><NA><NA><NA><NA>130851서울특별시 동대문구 전농동 620-27번지서울특별시 동대문구 답십리로1길 39-5 (전농동)<NA>부림 게임랜드2008-03-21 17:01:16I2018-08-31 23:59:59.0<NA>203897.922953453018.913709청소년게임제공업유통관련업9유흥업소밀집지역<NA>133.7881호텔<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>일반상업지역
93050000CDFF224114200800000320080521<NA>3폐업3폐업20100907<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 전농동 152-11번지 (6층)서울특별시 동대문구 서울시립대로 164 (전농동,(6층))<NA>위닝플스방2010-09-07 13:15:50I2018-08-31 23:59:59.0<NA>204772.209307453447.005254청소년게임제공업유통관련업<NA><NA><NA>188.62<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>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
1623050000CDFF224114201900000820191023<NA>3폐업3폐업20200129<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 118-40번지서울특별시 동대문구 한천로 184, 2층 (장안동)2525전곡게임랜드2020-01-29 14:45:03U2020-01-31 02:40:00.0<NA>205958.692227452778.527362청소년게임제공업유통관련업<NA><NA>마왕25대, 뉴알라딘램프25대216.3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50<NA>전체이용가<NA><NA><NA><NA>
1633050000CDFF224114202000000120200221<NA>3폐업3폐업20210810<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 이문동 292-10 이문동 웰츠타워서울특별시 동대문구 이문로 136, F-1-16호 (이문동, 이문동 웰츠타워)2418뽑기아지트2021-08-10 16:22:42U2021-08-12 02:40:00.0<NA>205396.363734455131.683241청소년게임제공업유통관련업<NA><NA>토이즈팝 10대44.4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>10<NA>전체이용가<NA><NA><NA><NA>
1643050000CDFF224114202000000220200406<NA>3폐업3폐업20200522<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 휘경동 34-48서울특별시 동대문구 망우로 120, 2층 (휘경동)2501행운게임장2020-09-21 10:42:43U2020-09-23 02:40:00.0<NA>205804.989007454312.287026청소년게임제공업유통관련업<NA><NA>뉴 황금해저 30대, 오션레전드 2 30대161.5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>60<NA>전체이용가<NA><NA><NA><NA>
1653050000CDFF224114202000000320201014<NA>3폐업3폐업20210316<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 휘경동 34-48서울특별시 동대문구 망우로 120, 2층 (휘경동)2501노리터2021-03-16 14:53:42U2021-03-18 02:40:00.0<NA>205804.989007454312.287026청소년게임제공업유통관련업<NA><NA>에이스 스토리50대161.5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50<NA>전체이용가<NA><NA><NA><NA>
1663050000CDFF224114202200000120220401<NA>3폐업3폐업20230125<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 제기동 486-6 1층서울특별시 동대문구 왕산로35길 42, 1층 (제기동)2573월드오락실2023-01-25 13:58:19U2022-11-30 22:08:00.0<NA>203725.476586453252.24143<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>
1673050000CDFF22411420220000022022-04-282024-01-314취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 이문동 305-152 3층서울특별시 동대문구 휘경로 17, 3층 (이문동)2419럭스게임장2024-02-01 10:14:46U2023-12-02 00:03:00.0<NA>205420.589934454834.765823<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>
1683050000CDFF22411420230000012023-03-15<NA>3폐업3폐업2023-04-25<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 청량리동 313서울특별시 동대문구 홍릉로 20-1, 1층 (청량리동)2490즐거운 게임장2023-04-25 14:27:29U2022-12-03 22:07:00.0<NA>203885.22142453324.541459<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>
1693050000CDFF22411420230000022023-04-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 제기동 137-60서울특별시 동대문구 안암로 146, 1층 (제기동)2473인형뽑기샵2023-04-07 15:51:37I2022-12-04 00:09:00.0<NA>202979.871877453944.001917<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>
1703050000CDFF22411420240000012024-03-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 회기동 16-51 1층서울특별시 동대문구 경희대로 8, 1층 (회기동)2453팡팡 경희대점2024-03-05 19:51:30I2023-12-03 00:07:00.0<NA>204578.917743454436.679457<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>
1713050000CDFF22411420240000022024-03-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구 전농동 124-69 지하1층서울특별시 동대문구 전농로 209, 지하1층 (전농동)2543포드게임랜드2024-03-20 14:40:50I2023-12-02 22:03:00.0<NA>204676.933068453395.693054<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>