Overview

Dataset statistics

Number of variables56
Number of observations149
Missing cells4103
Missing cells (%)49.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory70.8 KiB
Average record size in memory486.9 B

Variable types

Categorical17
Text6
DateTime4
Unsupported22
Numeric7

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
Author용산구
URLhttps://data.seoul.go.kr/dataList/OA-16668/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (57.4%)Imbalance
영업상태명 is highly imbalanced (57.4%)Imbalance
상세영업상태코드 is highly imbalanced (57.4%)Imbalance
상세영업상태명 is highly imbalanced (57.4%)Imbalance
데이터갱신구분 is highly imbalanced (67.1%)Imbalance
문화체육업종명 is highly imbalanced (69.8%)Imbalance
문화사업자구분명 is highly imbalanced (69.8%)Imbalance
주변환경명 is highly imbalanced (62.9%)Imbalance
지하층수 is highly imbalanced (82.6%)Imbalance
건물용도명 is highly imbalanced (68.8%)Imbalance
통로너비 is highly imbalanced (85.8%)Imbalance
조명시설조도 is highly imbalanced (85.8%)Imbalance
노래방실수 is highly imbalanced (85.8%)Imbalance
청소년실수 is highly imbalanced (85.8%)Imbalance
총게임기수 is highly imbalanced (85.8%)Imbalance
지역구분명 is highly imbalanced (68.1%)Imbalance
인허가취소일자 has 149 (100.0%) missing valuesMissing
폐업일자 has 118 (79.2%) missing valuesMissing
휴업시작일자 has 149 (100.0%) missing valuesMissing
휴업종료일자 has 149 (100.0%) missing valuesMissing
재개업일자 has 149 (100.0%) missing valuesMissing
전화번호 has 35 (23.5%) missing valuesMissing
소재지면적 has 149 (100.0%) missing valuesMissing
소재지우편번호 has 47 (31.5%) missing valuesMissing
도로명주소 has 19 (12.8%) missing valuesMissing
도로명우편번호 has 116 (77.9%) missing valuesMissing
업태구분명 has 149 (100.0%) missing valuesMissing
좌표정보(X) has 12 (8.1%) missing valuesMissing
좌표정보(Y) has 12 (8.1%) missing valuesMissing
총층수 has 139 (93.3%) missing valuesMissing
제작취급품목내용 has 95 (63.8%) missing valuesMissing
시설면적 has 110 (73.8%) missing valuesMissing
지상층수 has 122 (81.9%) missing valuesMissing
비상계단여부 has 149 (100.0%) missing valuesMissing
비상구여부 has 149 (100.0%) missing valuesMissing
자동환기여부 has 149 (100.0%) missing valuesMissing
청소년실여부 has 149 (100.0%) missing valuesMissing
특수조명여부 has 149 (100.0%) missing valuesMissing
방음시설여부 has 149 (100.0%) missing valuesMissing
비디오재생기명 has 149 (100.0%) missing valuesMissing
조명시설유무 has 149 (100.0%) missing valuesMissing
음향시설여부 has 149 (100.0%) missing valuesMissing
편의시설여부 has 149 (100.0%) missing valuesMissing
소방시설여부 has 149 (100.0%) missing valuesMissing
기존게임업외업종명 has 149 (100.0%) missing valuesMissing
제공게임물명 has 149 (100.0%) missing valuesMissing
공연장형태구분명 has 149 (100.0%) missing valuesMissing
품목명 has 149 (100.0%) missing valuesMissing
최초등록시점 has 149 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 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
총층수 has 3 (2.0%) zerosZeros
시설면적 has 2 (1.3%) zerosZeros
지상층수 has 3 (2.0%) zerosZeros

Reproduction

Analysis started2024-04-06 11:31:35.291699
Analysis finished2024-04-06 11:31:36.495041
Duration1.2 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
3020000
149 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3020000
2nd row3020000
3rd row3020000
4th row3020000
5th row3020000

Common Values

ValueCountFrequency (%)
3020000 149
100.0%

Length

2024-04-06T20:31:36.621891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:31:36.796543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3020000 149
100.0%

관리번호
Text

UNIQUE 

Distinct149
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-06T20:31:37.084224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2980
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

Unique149 ?
Unique (%)100.0%

Sample

1st rowCDFF2241121999000001
2nd rowCDFF2241121999000002
3rd rowCDFF2241121999000003
4th rowCDFF2241121999000004
5th rowCDFF2241121999000005
ValueCountFrequency (%)
cdff2241121999000001 1
 
0.7%
cdff2241122003000003 1
 
0.7%
cdff2241122006000005 1
 
0.7%
cdff2241122006000006 1
 
0.7%
cdff2241122007000001 1
 
0.7%
cdff2241122007000002 1
 
0.7%
cdff2241122007000003 1
 
0.7%
cdff2241122007000004 1
 
0.7%
cdff2241122007000005 1
 
0.7%
cdff2241122007000008 1
 
0.7%
Other values (139) 139
93.3%
2024-04-06T20:31:37.773144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 956
32.1%
2 635
21.3%
1 426
14.3%
F 298
 
10.0%
4 173
 
5.8%
C 149
 
5.0%
D 149
 
5.0%
9 86
 
2.9%
3 30
 
1.0%
5 29
 
1.0%
Other values (3) 49
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2384
80.0%
Uppercase Letter 596
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 956
40.1%
2 635
26.6%
1 426
17.9%
4 173
 
7.3%
9 86
 
3.6%
3 30
 
1.3%
5 29
 
1.2%
7 20
 
0.8%
6 17
 
0.7%
8 12
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
F 298
50.0%
C 149
25.0%
D 149
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2384
80.0%
Latin 596
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 956
40.1%
2 635
26.6%
1 426
17.9%
4 173
 
7.3%
9 86
 
3.6%
3 30
 
1.3%
5 29
 
1.2%
7 20
 
0.8%
6 17
 
0.7%
8 12
 
0.5%
Latin
ValueCountFrequency (%)
F 298
50.0%
C 149
25.0%
D 149
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2980
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 956
32.1%
2 635
21.3%
1 426
14.3%
F 298
 
10.0%
4 173
 
5.8%
C 149
 
5.0%
D 149
 
5.0%
9 86
 
2.9%
3 30
 
1.0%
5 29
 
1.0%
Other values (3) 49
 
1.6%

인허가일자
Date

Distinct142
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum1999-06-24 00:00:00
Maximum2023-07-14 00:00:00
2024-04-06T20:31:38.097697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:31:38.413239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing149
Missing (%)100.0%
Memory size1.4 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
1
118 
3
28 
4
 
2
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
1 118
79.2%
3 28
 
18.8%
4 2
 
1.3%
5 1
 
0.7%

Length

2024-04-06T20:31:38.648230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:31:38.832925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 118
79.2%
3 28
 
18.8%
4 2
 
1.3%
5 1
 
0.7%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
영업/정상
118 
폐업
28 
취소/말소/만료/정지/중지
 
2
제외/삭제/전출
 
1

Length

Max length14
Median length5
Mean length4.5771812
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 118
79.2%
폐업 28
 
18.8%
취소/말소/만료/정지/중지 2
 
1.3%
제외/삭제/전출 1
 
0.7%

Length

2024-04-06T20:31:39.102059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:31:39.389350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 118
79.2%
폐업 28
 
18.8%
취소/말소/만료/정지/중지 2
 
1.3%
제외/삭제/전출 1
 
0.7%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
13
118 
3
28 
35
 
2
15
 
1

Length

Max length2
Median length2
Mean length1.8120805
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
13 118
79.2%
3 28
 
18.8%
35 2
 
1.3%
15 1
 
0.7%

Length

2024-04-06T20:31:39.625393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:31:39.807469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 118
79.2%
3 28
 
18.8%
35 2
 
1.3%
15 1
 
0.7%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
영업중
118 
폐업
28 
직권말소
 
2
전출
 
1

Length

Max length4
Median length3
Mean length2.8187919
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 118
79.2%
폐업 28
 
18.8%
직권말소 2
 
1.3%
전출 1
 
0.7%

Length

2024-04-06T20:31:40.023501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:31:40.323834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 118
79.2%
폐업 28
 
18.8%
직권말소 2
 
1.3%
전출 1
 
0.7%

폐업일자
Date

MISSING 

Distinct29
Distinct (%)93.5%
Missing118
Missing (%)79.2%
Memory size1.3 KiB
Minimum2007-07-16 00:00:00
Maximum2024-03-08 00:00:00
2024-04-06T20:31:40.577055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:31:40.820470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing149
Missing (%)100.0%
Memory size1.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing149
Missing (%)100.0%
Memory size1.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing149
Missing (%)100.0%
Memory size1.4 KiB

전화번호
Text

MISSING 

Distinct111
Distinct (%)97.4%
Missing35
Missing (%)23.5%
Memory size1.3 KiB
2024-04-06T20:31:41.351178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.9035088
Min length7

Characters and Unicode

Total characters1015
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique108 ?
Unique (%)94.7%

Sample

1st row703-4658
2nd row719-6845
3rd row711-8746
4th row702-5402
5th row705-5986
ValueCountFrequency (%)
716-9437 2
 
1.8%
717-6636 2
 
1.8%
703-4658 2
 
1.8%
702-0757 1
 
0.9%
705-5986 1
 
0.9%
798-8400 1
 
0.9%
701-0106 1
 
0.9%
705-7714 1
 
0.9%
1566-5265 1
 
0.9%
716-5707 1
 
0.9%
Other values (101) 101
88.6%
2024-04-06T20:31:42.102655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 160
15.8%
- 133
13.1%
0 129
12.7%
1 123
12.1%
6 80
7.9%
3 74
7.3%
5 74
7.3%
2 74
7.3%
9 60
 
5.9%
4 60
 
5.9%
Other values (3) 48
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 880
86.7%
Dash Punctuation 133
 
13.1%
Math Symbol 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 160
18.2%
0 129
14.7%
1 123
14.0%
6 80
9.1%
3 74
8.4%
5 74
8.4%
2 74
8.4%
9 60
 
6.8%
4 60
 
6.8%
8 46
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 133
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1015
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 160
15.8%
- 133
13.1%
0 129
12.7%
1 123
12.1%
6 80
7.9%
3 74
7.3%
5 74
7.3%
2 74
7.3%
9 60
 
5.9%
4 60
 
5.9%
Other values (3) 48
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1015
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 160
15.8%
- 133
13.1%
0 129
12.7%
1 123
12.1%
6 80
7.9%
3 74
7.3%
5 74
7.3%
2 74
7.3%
9 60
 
5.9%
4 60
 
5.9%
Other values (3) 48
 
4.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing149
Missing (%)100.0%
Memory size1.4 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)34.3%
Missing47
Missing (%)31.5%
Infinite0
Infinite (%)0.0%
Mean140737.29
Minimum140013
Maximum140905
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-06T20:31:42.369198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum140013
5-th percentile140090
Q1140769.25
median140850
Q3140878
95-th percentile140895.6
Maximum140905
Range892
Interquartile range (IQR)108.75

Descriptive statistics

Standard deviation277.13494
Coefficient of variation (CV)0.0019691649
Kurtosis1.9199484
Mean140737.29
Median Absolute Deviation (MAD)29
Skewness-1.9252145
Sum14355204
Variance76803.774
MonotonicityNot monotonic
2024-04-06T20:31:42.631782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
140847 14
 
9.4%
140879 13
 
8.7%
140090 8
 
5.4%
140878 5
 
3.4%
140850 5
 
3.4%
140060 4
 
2.7%
140877 4
 
2.7%
140871 4
 
2.7%
140712 4
 
2.7%
140848 4
 
2.7%
Other values (25) 37
24.8%
(Missing) 47
31.5%
ValueCountFrequency (%)
140013 1
 
0.7%
140060 4
2.7%
140090 8
5.4%
140132 1
 
0.7%
140133 1
 
0.7%
140712 4
2.7%
140719 1
 
0.7%
140736 1
 
0.7%
140746 1
 
0.7%
140749 1
 
0.7%
ValueCountFrequency (%)
140905 4
 
2.7%
140901 1
 
0.7%
140896 1
 
0.7%
140888 1
 
0.7%
140885 1
 
0.7%
140884 1
 
0.7%
140883 1
 
0.7%
140880 2
 
1.3%
140879 13
8.7%
140878 5
 
3.4%

지번주소
Text

Distinct109
Distinct (%)73.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-06T20:31:43.167289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length37
Mean length29.778523
Min length18

Characters and Unicode

Total characters4437
Distinct characters147
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)61.1%

Sample

1st row서울특별시 용산구 원효로*가 **번지
2nd row서울특별시 용산구 한강로*가 **-**번지 K.C.E빌딩 ***호
3rd row서울특별시 용산구 신창동 **-*번지 금강빌딩 *층
4th row서울특별시 용산구 원효로*가 *-**번지 화덕약품빌딩*층
5th row서울특별시 용산구 한강로*가 **-**번지 삼구빌딩 ****호
ValueCountFrequency (%)
서울특별시 149
18.4%
용산구 148
18.2%
번지 132
16.3%
한강로*가 68
8.4%
호 52
 
6.4%
원효로*가 37
 
4.6%
층 28
 
3.5%
17
 
2.1%
동 15
 
1.8%
한남동 11
 
1.4%
Other values (92) 154
19.0%
2024-04-06T20:31:43.953291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 870
19.6%
749
16.9%
산 163
 
3.7%
용 159
 
3.6%
구 156
 
3.5%
서 151
 
3.4%
시 151
 
3.4%
울 150
 
3.4%
특 150
 
3.4%
별 149
 
3.4%
Other values (137) 1589
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2668
60.1%
Other Punctuation 874
 
19.7%
Space Separator 749
 
16.9%
Dash Punctuation 133
 
3.0%
Uppercase Letter 11
 
0.2%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 163
 
6.1%
용 159
 
6.0%
구 156
 
5.8%
서 151
 
5.7%
시 151
 
5.7%
울 150
 
5.6%
특 150
 
5.6%
별 149
 
5.6%
지 135
 
5.1%
번 132
 
4.9%
Other values (125) 1172
43.9%
Uppercase Letter
ValueCountFrequency (%)
B 4
36.4%
K 2
18.2%
C 2
18.2%
E 2
18.2%
D 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
* 870
99.5%
, 2
 
0.2%
. 2
 
0.2%
Space Separator
ValueCountFrequency (%)
749
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 133
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2668
60.1%
Common 1758
39.6%
Latin 11
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 163
 
6.1%
용 159
 
6.0%
구 156
 
5.8%
서 151
 
5.7%
시 151
 
5.7%
울 150
 
5.6%
특 150
 
5.6%
별 149
 
5.6%
지 135
 
5.1%
번 132
 
4.9%
Other values (125) 1172
43.9%
Common
ValueCountFrequency (%)
* 870
49.5%
749
42.6%
- 133
 
7.6%
, 2
 
0.1%
. 2
 
0.1%
( 1
 
0.1%
) 1
 
0.1%
Latin
ValueCountFrequency (%)
B 4
36.4%
K 2
18.2%
C 2
18.2%
E 2
18.2%
D 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2668
60.1%
ASCII 1769
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 870
49.2%
749
42.3%
- 133
 
7.5%
B 4
 
0.2%
K 2
 
0.1%
, 2
 
0.1%
C 2
 
0.1%
E 2
 
0.1%
. 2
 
0.1%
D 1
 
0.1%
Other values (2) 2
 
0.1%
Hangul
ValueCountFrequency (%)
산 163
 
6.1%
용 159
 
6.0%
구 156
 
5.8%
서 151
 
5.7%
시 151
 
5.7%
울 150
 
5.6%
특 150
 
5.6%
별 149
 
5.6%
지 135
 
5.1%
번 132
 
4.9%
Other values (125) 1172
43.9%

도로명주소
Text

MISSING 

Distinct105
Distinct (%)80.8%
Missing19
Missing (%)12.8%
Memory size1.3 KiB
2024-04-06T20:31:44.316002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length42
Mean length35.923077
Min length24

Characters and Unicode

Total characters4670
Distinct characters151
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

Unique94 ?
Unique (%)72.3%

Sample

1st row서울특별시 용산구 효창원로*길 ** (원효로*가)
2nd row서울특별시 용산구 청파로 **, ***호 (한강로*가,K.C.E빌딩)
3rd row서울특별시 용산구 원효로**길 **-* (신창동,금강빌딩 *층)
4th row서울특별시 용산구 원효로 *** (원효로*가,화덕약품빌딩*층)
5th row서울특별시 용산구 청파로 **, ****호 (한강로*가,삼구빌딩)
ValueCountFrequency (%)
133
16.5%
서울특별시 130
16.1%
용산구 129
16.0%
호 59
 
7.3%
층 36
 
4.5%
청파로 30
 
3.7%
원효로*가 20
 
2.5%
원효로**길 18
 
2.2%
한강로*가 17
 
2.1%
한강대로**길 16
 
2.0%
Other values (105) 218
27.0%
2024-04-06T20:31:44.920734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 806
17.3%
758
 
16.2%
로 225
 
4.8%
, 161
 
3.4%
산 141
 
3.0%
서 140
 
3.0%
용 139
 
3.0%
구 136
 
2.9%
시 132
 
2.8%
울 131
 
2.8%
Other values (141) 1901
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2644
56.6%
Other Punctuation 969
 
20.7%
Space Separator 758
 
16.2%
Open Punctuation 131
 
2.8%
Close Punctuation 131
 
2.8%
Dash Punctuation 26
 
0.6%
Uppercase Letter 10
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 225
 
8.5%
산 141
 
5.3%
서 140
 
5.3%
용 139
 
5.3%
구 136
 
5.1%
시 132
 
5.0%
울 131
 
5.0%
특 131
 
5.0%
별 130
 
4.9%
가 107
 
4.0%
Other values (128) 1232
46.6%
Uppercase Letter
ValueCountFrequency (%)
B 3
30.0%
K 2
20.0%
C 2
20.0%
E 2
20.0%
D 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
* 806
83.2%
, 161
 
16.6%
. 2
 
0.2%
Space Separator
ValueCountFrequency (%)
758
100.0%
Open Punctuation
ValueCountFrequency (%)
( 131
100.0%
Close Punctuation
ValueCountFrequency (%)
) 131
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2644
56.6%
Common 2016
43.2%
Latin 10
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 225
 
8.5%
산 141
 
5.3%
서 140
 
5.3%
용 139
 
5.3%
구 136
 
5.1%
시 132
 
5.0%
울 131
 
5.0%
특 131
 
5.0%
별 130
 
4.9%
가 107
 
4.0%
Other values (128) 1232
46.6%
Common
ValueCountFrequency (%)
* 806
40.0%
758
37.6%
, 161
 
8.0%
( 131
 
6.5%
) 131
 
6.5%
- 26
 
1.3%
. 2
 
0.1%
~ 1
 
< 0.1%
Latin
ValueCountFrequency (%)
B 3
30.0%
K 2
20.0%
C 2
20.0%
E 2
20.0%
D 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2644
56.6%
ASCII 2026
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 806
39.8%
758
37.4%
, 161
 
7.9%
( 131
 
6.5%
) 131
 
6.5%
- 26
 
1.3%
B 3
 
0.1%
K 2
 
0.1%
. 2
 
0.1%
C 2
 
0.1%
Other values (3) 4
 
0.2%
Hangul
ValueCountFrequency (%)
로 225
 
8.5%
산 141
 
5.3%
서 140
 
5.3%
용 139
 
5.3%
구 136
 
5.1%
시 132
 
5.0%
울 131
 
5.0%
특 131
 
5.0%
별 130
 
4.9%
가 107
 
4.0%
Other values (128) 1232
46.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)60.6%
Missing116
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean4373.4242
Minimum4304
Maximum4420
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-06T20:31:45.124331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4304
5-th percentile4314.4
Q14365
median4376
Q34389
95-th percentile4418.8
Maximum4420
Range116
Interquartile range (IQR)24

Descriptive statistics

Standard deviation33.797217
Coefficient of variation (CV)0.0077278616
Kurtosis-0.52216647
Mean4373.4242
Median Absolute Deviation (MAD)13
Skewness-0.41198308
Sum144323
Variance1142.2519
MonotonicityNot monotonic
2024-04-06T20:31:45.353878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
4417 4
 
2.7%
4376 3
 
2.0%
4366 3
 
2.0%
4389 2
 
1.3%
4420 2
 
1.3%
4372 2
 
1.3%
4370 2
 
1.3%
4344 2
 
1.3%
4387 2
 
1.3%
4318 1
 
0.7%
Other values (10) 10
 
6.7%
(Missing) 116
77.9%
ValueCountFrequency (%)
4304 1
 
0.7%
4312 1
 
0.7%
4316 1
 
0.7%
4318 1
 
0.7%
4322 1
 
0.7%
4342 1
 
0.7%
4344 2
1.3%
4365 1
 
0.7%
4366 3
2.0%
4370 2
1.3%
ValueCountFrequency (%)
4420 2
1.3%
4418 1
 
0.7%
4417 4
2.7%
4405 1
 
0.7%
4389 2
1.3%
4387 2
1.3%
4386 1
 
0.7%
4377 1
 
0.7%
4376 3
2.0%
4372 2
1.3%

사업장명
Text

Distinct147
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-06T20:31:45.828994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length7.9865772
Min length2

Characters and Unicode

Total characters1190
Distinct characters213
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique145 ?
Unique (%)97.3%

Sample

1st row(주)멀티테크
2nd row(주)한국킴스미디어
3rd row(주)무브제너레이션
4th row(주)대라반도체
5th row(주)엠씨비소프트
ValueCountFrequency (%)
주식회사 9
 
5.3%
주)멀티테크 2
 
1.2%
인터렉티브 2
 
1.2%
주)디지털터치 2
 
1.2%
리라소프트 1
 
0.6%
스타소프트 1
 
0.6%
주)비씨브이네트 1
 
0.6%
주)게임공판장 1
 
0.6%
주)디사이어 1
 
0.6%
주)유투미디어 1
 
0.6%
Other values (150) 150
87.7%
2024-04-06T20:31:46.589563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 94
 
7.9%
) 84
 
7.1%
( 83
 
7.0%
트 39
 
3.3%
이 38
 
3.2%
스 33
 
2.8%
디 29
 
2.4%
터 24
 
2.0%
22
 
1.8%
프 22
 
1.8%
Other values (203) 722
60.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 922
77.5%
Close Punctuation 84
 
7.1%
Open Punctuation 83
 
7.0%
Uppercase Letter 44
 
3.7%
Space Separator 22
 
1.8%
Lowercase Letter 22
 
1.8%
Other Punctuation 10
 
0.8%
Dash Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 94
 
10.2%
트 39
 
4.2%
이 38
 
4.1%
스 33
 
3.6%
디 29
 
3.1%
터 24
 
2.6%
프 22
 
2.4%
소 22
 
2.4%
아 21
 
2.3%
테 20
 
2.2%
Other values (169) 580
62.9%
Uppercase Letter
ValueCountFrequency (%)
S 8
18.2%
T 5
11.4%
N 4
 
9.1%
O 3
 
6.8%
K 3
 
6.8%
M 3
 
6.8%
V 2
 
4.5%
G 2
 
4.5%
E 2
 
4.5%
L 2
 
4.5%
Other values (7) 10
22.7%
Lowercase Letter
ValueCountFrequency (%)
a 5
22.7%
e 3
13.6%
r 2
 
9.1%
s 2
 
9.1%
d 2
 
9.1%
i 2
 
9.1%
m 1
 
4.5%
g 1
 
4.5%
u 1
 
4.5%
o 1
 
4.5%
Other values (2) 2
 
9.1%
Close Punctuation
ValueCountFrequency (%)
) 84
100.0%
Open Punctuation
ValueCountFrequency (%)
( 83
100.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Other Punctuation
ValueCountFrequency (%)
. 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 922
77.5%
Common 202
 
17.0%
Latin 66
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 94
 
10.2%
트 39
 
4.2%
이 38
 
4.1%
스 33
 
3.6%
디 29
 
3.1%
터 24
 
2.6%
프 22
 
2.4%
소 22
 
2.4%
아 21
 
2.3%
테 20
 
2.2%
Other values (169) 580
62.9%
Latin
ValueCountFrequency (%)
S 8
 
12.1%
a 5
 
7.6%
T 5
 
7.6%
N 4
 
6.1%
O 3
 
4.5%
K 3
 
4.5%
e 3
 
4.5%
M 3
 
4.5%
V 2
 
3.0%
G 2
 
3.0%
Other values (19) 28
42.4%
Common
ValueCountFrequency (%)
) 84
41.6%
( 83
41.1%
22
 
10.9%
. 10
 
5.0%
- 3
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 922
77.5%
ASCII 268
 
22.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 94
 
10.2%
트 39
 
4.2%
이 38
 
4.1%
스 33
 
3.6%
디 29
 
3.1%
터 24
 
2.6%
프 22
 
2.4%
소 22
 
2.4%
아 21
 
2.3%
테 20
 
2.2%
Other values (169) 580
62.9%
ASCII
ValueCountFrequency (%)
) 84
31.3%
( 83
31.0%
22
 
8.2%
. 10
 
3.7%
S 8
 
3.0%
a 5
 
1.9%
T 5
 
1.9%
N 4
 
1.5%
O 3
 
1.1%
K 3
 
1.1%
Other values (24) 41
15.3%

최종수정일자
Date

UNIQUE 

Distinct149
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2006-04-04 13:42:27
Maximum2024-03-08 13:12:10
2024-04-06T20:31:46.871647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:31:47.249846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
I
140 
U
 
9

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 140
94.0%
U 9
 
6.0%

Length

2024-04-06T20:31:47.500096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:31:47.721840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 140
94.0%
u 9
 
6.0%

데이터갱신일자
Date

Distinct20
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:07:00
2024-04-06T20:31:47.923362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:31:48.225708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing149
Missing (%)100.0%
Memory size1.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)68.6%
Missing12
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean196985.11
Minimum195626.87
Maximum200909.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-06T20:31:48.484916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195626.87
5-th percentile195950.11
Q1196288.76
median196641.22
Q3197083.1
95-th percentile200324.41
Maximum200909.31
Range5282.4452
Interquartile range (IQR)794.33618

Descriptive statistics

Standard deviation1225.1442
Coefficient of variation (CV)0.0062194761
Kurtosis3.4026003
Mean196985.11
Median Absolute Deviation (MAD)430.18649
Skewness2.0236964
Sum26986961
Variance1500978.3
MonotonicityNot monotonic
2024-04-06T20:31:48.737437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
196060.559012563 6
 
4.0%
197257.765183997 5
 
3.4%
195956.83241222 4
 
2.7%
196118.749575977 4
 
2.7%
196288.764257138 4
 
2.7%
196600.080247176 4
 
2.7%
196370.746398773 4
 
2.7%
196087.977652228 4
 
2.7%
196605.511573689 3
 
2.0%
195972.321819235 3
 
2.0%
Other values (84) 96
64.4%
(Missing) 12
 
8.1%
ValueCountFrequency (%)
195626.865584206 1
 
0.7%
195692.11418406 1
 
0.7%
195738.283458432 1
 
0.7%
195766.891381353 1
 
0.7%
195801.332676206 1
 
0.7%
195923.205904131 2
 
1.3%
195956.83241222 4
2.7%
195972.321819235 3
2.0%
196025.754267884 1
 
0.7%
196060.559012563 6
4.0%
ValueCountFrequency (%)
200909.310822627 1
0.7%
200823.833430175 1
0.7%
200775.183106359 1
0.7%
200751.839771325 1
0.7%
200740.955266851 1
0.7%
200423.418748471 1
0.7%
200345.820035033 1
0.7%
200319.06075632 2
1.3%
200214.858139676 1
0.7%
199592.672866595 1
0.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)68.6%
Missing12
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean447982.48
Minimum446801.36
Maximum449985.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-06T20:31:49.424714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446801.36
5-th percentile447076.43
Q1447749.62
median447907.07
Q3448112.61
95-th percentile449012.58
Maximum449985.78
Range3184.4175
Interquartile range (IQR)362.98632

Descriptive statistics

Standard deviation540.27867
Coefficient of variation (CV)0.0012060263
Kurtosis2.8247973
Mean447982.48
Median Absolute Deviation (MAD)192.95603
Skewness1.0992022
Sum61373600
Variance291901.04
MonotonicityNot monotonic
2024-04-06T20:31:49.685012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447732.807254308 6
 
4.0%
447772.298383734 5
 
3.4%
447651.530984522 4
 
2.7%
447760.157527455 4
 
2.7%
447946.79077447 4
 
2.7%
447900.639294985 4
 
2.7%
447841.698787531 4
 
2.7%
447749.621213224 4
 
2.7%
447841.270074498 3
 
2.0%
448143.687954956 3
 
2.0%
Other values (84) 96
64.4%
(Missing) 12
 
8.1%
ValueCountFrequency (%)
446801.359490614 1
0.7%
446862.978329468 1
0.7%
446947.960824067 2
1.3%
447045.206052439 2
1.3%
447073.62284187 1
0.7%
447077.126289262 1
0.7%
447106.168036632 1
0.7%
447202.457463021 1
0.7%
447264.444809335 1
0.7%
447379.108082736 1
0.7%
ValueCountFrequency (%)
449985.777005416 1
0.7%
449970.161645104 1
0.7%
449441.520564838 1
0.7%
449420.974126195 1
0.7%
449398.313529454 1
0.7%
449344.223768584 1
0.7%
449223.952135498 1
0.7%
448959.732777686 1
0.7%
448880.712135117 1
0.7%
448861.756853791 1
0.7%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
게임물배급업
141 
<NA>
 
8

Length

Max length6
Median length6
Mean length5.8926174
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물배급업 141
94.6%
<NA> 8
 
5.4%

Length

2024-04-06T20:31:49.927175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:31:50.100526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물배급업 141
94.6%
na 8
 
5.4%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
유통관련업
141 
<NA>
 
8

Length

Max length5
Median length5
Mean length4.9463087
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 141
94.6%
<NA> 8
 
5.4%

Length

2024-04-06T20:31:50.273638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:31:50.468293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 141
94.6%
na 8
 
5.4%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)70.0%
Missing139
Missing (%)93.3%
Infinite0
Infinite (%)0.0%
Mean8.1
Minimum0
Maximum20
Zeros3
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-06T20:31:50.626978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.5
median7.5
Q311
95-th percentile19.1
Maximum20
Range20
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation7.1406505
Coefficient of variation (CV)0.88156178
Kurtosis-0.7517003
Mean8.1
Median Absolute Deviation (MAD)5.5
Skewness0.41935161
Sum81
Variance50.988889
MonotonicityNot monotonic
2024-04-06T20:31:50.881065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 3
 
2.0%
11 2
 
1.3%
20 1
 
0.7%
18 1
 
0.7%
6 1
 
0.7%
7 1
 
0.7%
8 1
 
0.7%
(Missing) 139
93.3%
ValueCountFrequency (%)
0 3
2.0%
6 1
 
0.7%
7 1
 
0.7%
8 1
 
0.7%
11 2
1.3%
18 1
 
0.7%
20 1
 
0.7%
ValueCountFrequency (%)
20 1
 
0.7%
18 1
 
0.7%
11 2
1.3%
8 1
 
0.7%
7 1
 
0.7%
6 1
 
0.7%
0 3
2.0%

주변환경명
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
130 
기타
18 
아파트지역
 
1

Length

Max length5
Median length4
Mean length3.7651007
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 130
87.2%
기타 18
 
12.1%
아파트지역 1
 
0.7%

Length

2024-04-06T20:31:51.143971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:31:51.324937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 130
87.2%
기타 18
 
12.1%
아파트지역 1
 
0.7%

제작취급품목내용
Text

MISSING 

Distinct42
Distinct (%)77.8%
Missing95
Missing (%)63.8%
Memory size1.3 KiB
2024-04-06T20:31:51.728206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length7.6851852
Min length2

Characters and Unicode

Total characters415
Distinct characters81
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)68.5%

Sample

1st row게임물
2nd row게임몰
3rd row게임물배급업
4th row게임물
5th row게임물
ValueCountFrequency (%)
게임물 10
 
12.5%
게임 5
 
6.2%
모바일게임 5
 
6.2%
온라인게임 4
 
5.0%
모바일 4
 
5.0%
게임소프트웨어 4
 
5.0%
온라인 4
 
5.0%
게임기 3
 
3.8%
및 3
 
3.8%
pc게임 2
 
2.5%
Other values (32) 36
45.0%
2024-04-06T20:31:52.358724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 57
 
13.7%
임 55
 
13.3%
26
 
6.3%
물 20
 
4.8%
인 17
 
4.1%
라 17
 
4.1%
온 16
 
3.9%
, 15
 
3.6%
일 12
 
2.9%
바 12
 
2.9%
Other values (71) 168
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 341
82.2%
Space Separator 26
 
6.3%
Other Punctuation 15
 
3.6%
Uppercase Letter 15
 
3.6%
Lowercase Letter 8
 
1.9%
Open Punctuation 5
 
1.2%
Close Punctuation 5
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 57
16.7%
임 55
16.1%
물 20
 
5.9%
인 17
 
5.0%
라 17
 
5.0%
온 16
 
4.7%
일 12
 
3.5%
바 12
 
3.5%
모 12
 
3.5%
기 9
 
2.6%
Other values (58) 114
33.4%
Lowercase Letter
ValueCountFrequency (%)
o 2
25.0%
e 1
12.5%
l 1
12.5%
s 1
12.5%
n 1
12.5%
p 1
12.5%
c 1
12.5%
Uppercase Letter
ValueCountFrequency (%)
C 8
53.3%
P 7
46.7%
Space Separator
ValueCountFrequency (%)
26
100.0%
Other Punctuation
ValueCountFrequency (%)
, 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 341
82.2%
Common 51
 
12.3%
Latin 23
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 57
16.7%
임 55
16.1%
물 20
 
5.9%
인 17
 
5.0%
라 17
 
5.0%
온 16
 
4.7%
일 12
 
3.5%
바 12
 
3.5%
모 12
 
3.5%
기 9
 
2.6%
Other values (58) 114
33.4%
Latin
ValueCountFrequency (%)
C 8
34.8%
P 7
30.4%
o 2
 
8.7%
e 1
 
4.3%
l 1
 
4.3%
s 1
 
4.3%
n 1
 
4.3%
p 1
 
4.3%
c 1
 
4.3%
Common
ValueCountFrequency (%)
26
51.0%
, 15
29.4%
( 5
 
9.8%
) 5
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 341
82.2%
ASCII 74
 
17.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 57
16.7%
임 55
16.1%
물 20
 
5.9%
인 17
 
5.0%
라 17
 
5.0%
온 16
 
4.7%
일 12
 
3.5%
바 12
 
3.5%
모 12
 
3.5%
기 9
 
2.6%
Other values (58) 114
33.4%
ASCII
ValueCountFrequency (%)
26
35.1%
, 15
20.3%
C 8
 
10.8%
P 7
 
9.5%
( 5
 
6.8%
) 5
 
6.8%
o 2
 
2.7%
e 1
 
1.4%
l 1
 
1.4%
s 1
 
1.4%
Other values (3) 3
 
4.1%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct37
Distinct (%)94.9%
Missing110
Missing (%)73.8%
Infinite0
Infinite (%)0.0%
Mean367.0341
Minimum0
Maximum3768
Zeros2
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-06T20:31:52.689405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.97
Q132.075
median57.55
Q3358.365
95-th percentile1524.189
Maximum3768
Range3768
Interquartile range (IQR)326.29

Descriptive statistics

Standard deviation764.45813
Coefficient of variation (CV)2.0827986
Kurtosis11.689527
Mean367.0341
Median Absolute Deviation (MAD)48.55
Skewness3.3038144
Sum14314.33
Variance584396.23
MonotonicityNot monotonic
2024-04-06T20:31:52.931534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0.0 2
 
1.3%
19.8 2
 
1.3%
6.6 1
 
0.7%
124.18 1
 
0.7%
41.82 1
 
0.7%
2693.37 1
 
0.7%
771.0 1
 
0.7%
693.38 1
 
0.7%
45.0 1
 
0.7%
36.48 1
 
0.7%
Other values (27) 27
 
18.1%
(Missing) 110
73.8%
ValueCountFrequency (%)
0.0 2
1.3%
3.3 1
0.7%
4.96 1
0.7%
6.6 1
0.7%
9.0 1
0.7%
19.8 2
1.3%
28.03 1
0.7%
32.0 1
0.7%
32.15 1
0.7%
33.0 1
0.7%
ValueCountFrequency (%)
3768.0 1
0.7%
2693.37 1
0.7%
1394.28 1
0.7%
1375.21 1
0.7%
771.0 1
0.7%
693.38 1
0.7%
543.57 1
0.7%
481.9 1
0.7%
400.0 1
0.7%
375.21 1
0.7%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)44.4%
Missing122
Missing (%)81.9%
Infinite0
Infinite (%)0.0%
Mean5.5925926
Minimum0
Maximum17
Zeros3
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-06T20:31:53.155297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median4
Q37
95-th percentile16.4
Maximum17
Range17
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.7495689
Coefficient of variation (CV)0.84926066
Kurtosis1.0850295
Mean5.5925926
Median Absolute Deviation (MAD)2
Skewness1.2722847
Sum151
Variance22.558405
MonotonicityNot monotonic
2024-04-06T20:31:53.370026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
4 6
 
4.0%
3 3
 
2.0%
5 3
 
2.0%
0 3
 
2.0%
17 2
 
1.3%
2 2
 
1.3%
8 2
 
1.3%
6 2
 
1.3%
15 1
 
0.7%
1 1
 
0.7%
Other values (2) 2
 
1.3%
(Missing) 122
81.9%
ValueCountFrequency (%)
0 3
2.0%
1 1
 
0.7%
2 2
 
1.3%
3 3
2.0%
4 6
4.0%
5 3
2.0%
6 2
 
1.3%
8 2
 
1.3%
10 1
 
0.7%
11 1
 
0.7%
ValueCountFrequency (%)
17 2
 
1.3%
15 1
 
0.7%
11 1
 
0.7%
10 1
 
0.7%
8 2
 
1.3%
6 2
 
1.3%
5 3
2.0%
4 6
4.0%
3 3
2.0%
2 2
 
1.3%

지하층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
141 
0
 
3
2
 
2
3
 
2
4
 
1

Length

Max length4
Median length4
Mean length3.8389262
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 141
94.6%
0 3
 
2.0%
2 2
 
1.3%
3 2
 
1.3%
4 1
 
0.7%

Length

2024-04-06T20:31:53.600806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:31:53.813420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 141
94.6%
0 3
 
2.0%
2 2
 
1.3%
3 2
 
1.3%
4 1
 
0.7%

건물용도명
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
130 
사무실
 
13
근린생활시설
 
3
판매시설
 
2
다중주택(공동주택적용)
 
1

Length

Max length12
Median length4
Mean length4.0067114
Min length3

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 130
87.2%
사무실 13
 
8.7%
근린생활시설 3
 
2.0%
판매시설 2
 
1.3%
다중주택(공동주택적용) 1
 
0.7%

Length

2024-04-06T20:31:54.003761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:31:54.188814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 130
87.2%
사무실 13
 
8.7%
근린생활시설 3
 
2.0%
판매시설 2
 
1.3%
다중주택(공동주택적용 1
 
0.7%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
146 
0
 
3

Length

Max length4
Median length4
Mean length3.9395973
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> 146
98.0%
0 3
 
2.0%

Length

2024-04-06T20:31:54.405289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:31:54.672976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 146
98.0%
0 3
 
2.0%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
146 
0
 
3

Length

Max length4
Median length4
Mean length3.9395973
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> 146
98.0%
0 3
 
2.0%

Length

2024-04-06T20:31:54.849351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:31:55.032599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 146
98.0%
0 3
 
2.0%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
146 
0
 
3

Length

Max length4
Median length4
Mean length3.9395973
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> 146
98.0%
0 3
 
2.0%

Length

2024-04-06T20:31:55.225443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:31:55.423351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 146
98.0%
0 3
 
2.0%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
146 
0
 
3

Length

Max length4
Median length4
Mean length3.9395973
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> 146
98.0%
0 3
 
2.0%

Length

2024-04-06T20:31:55.617405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:31:55.810664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 146
98.0%
0 3
 
2.0%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing149
Missing (%)100.0%
Memory size1.4 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing149
Missing (%)100.0%
Memory size1.4 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing149
Missing (%)100.0%
Memory size1.4 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing149
Missing (%)100.0%
Memory size1.4 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing149
Missing (%)100.0%
Memory size1.4 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing149
Missing (%)100.0%
Memory size1.4 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing149
Missing (%)100.0%
Memory size1.4 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing149
Missing (%)100.0%
Memory size1.4 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing149
Missing (%)100.0%
Memory size1.4 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing149
Missing (%)100.0%
Memory size1.4 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing149
Missing (%)100.0%
Memory size1.4 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
146 
0
 
3

Length

Max length4
Median length4
Mean length3.9395973
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> 146
98.0%
0 3
 
2.0%

Length

2024-04-06T20:31:56.010399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:31:56.199421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 146
98.0%
0 3
 
2.0%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing149
Missing (%)100.0%
Memory size1.4 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing149
Missing (%)100.0%
Memory size1.4 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing149
Missing (%)100.0%
Memory size1.4 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing149
Missing (%)100.0%
Memory size1.4 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing149
Missing (%)100.0%
Memory size1.4 KiB

지역구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
130 
일반상업지역
 
6
준주거지역
 
5
일반주거지역
 
4
상업지역
 
3

Length

Max length6
Median length4
Mean length4.1677852
Min length4

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 130
87.2%
일반상업지역 6
 
4.0%
준주거지역 5
 
3.4%
일반주거지역 4
 
2.7%
상업지역 3
 
2.0%
주거지역 1
 
0.7%

Length

2024-04-06T20:31:56.379997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:31:56.588202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 130
87.2%
일반상업지역 6
 
4.0%
준주거지역 5
 
3.4%
일반주거지역 4
 
2.7%
상업지역 3
 
2.0%
주거지역 1
 
0.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03020000CDFF224112199900000119990624<NA>1영업/정상13영업중<NA><NA><NA><NA>703-4658<NA>140850서울특별시 용산구 원효로*가 **번지서울특별시 용산구 효창원로*길 ** (원효로*가)<NA>(주)멀티테크2006-04-04 13:42:27I2018-08-31 23:59:59.0<NA>195738.283458447919.940352게임물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13020000CDFF224112199900000219990810<NA>1영업/정상13영업중<NA><NA><NA><NA>719-6845<NA>140879서울특별시 용산구 한강로*가 **-**번지 K.C.E빌딩 ***호서울특별시 용산구 청파로 **, ***호 (한강로*가,K.C.E빌딩)<NA>(주)한국킴스미디어2006-04-04 13:45:56I2018-08-31 23:59:59.0<NA>196381.261381447911.248418게임물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23020000CDFF224112199900000319990709<NA>1영업/정상13영업중<NA><NA><NA><NA>711-8746<NA>140060서울특별시 용산구 신창동 **-*번지 금강빌딩 *층서울특별시 용산구 원효로**길 **-* (신창동,금강빌딩 *층)<NA>(주)무브제너레이션2006-04-04 13:44:08I2018-08-31 23:59:59.0<NA>195972.321819448143.687955게임물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33020000CDFF224112199900000419990715<NA>1영업/정상13영업중<NA><NA><NA><NA>702-5402<NA>140847서울특별시 용산구 원효로*가 *-**번지 화덕약품빌딩*층서울특별시 용산구 원효로 *** (원효로*가,화덕약품빌딩*층)<NA>(주)대라반도체2006-04-04 13:45:02I2018-08-31 23:59:59.0<NA>196849.533571448387.355653게임물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43020000CDFF224112199900000519991030<NA>1영업/정상13영업중<NA><NA><NA><NA>705-5986<NA>140712서울특별시 용산구 한강로*가 **-**번지 삼구빌딩 ****호서울특별시 용산구 청파로 **, ****호 (한강로*가,삼구빌딩)<NA>(주)엠씨비소프트2006-04-04 13:47:17I2018-08-31 23:59:59.0<NA>196060.559013447732.807254게임물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53020000CDFF224112199900000619990630<NA>3폐업3폐업20160126<NA><NA><NA>2071-2129<NA><NA>서울특별시 용산구 한강로*가 **-***번지서울특별시 용산구 한강대로**길 *-** (한강로*가)<NA>대원씨아이 주식회사2017-05-23 14:41:08I2018-08-31 23:59:59.0<NA>196678.783699447045.206052게임물배급업유통관련업<NA>기타게임물400.0<NA><NA>사무실<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
63020000CDFF224112199900000719990714<NA>1영업/정상13영업중<NA><NA><NA><NA>719-4110<NA>140847서울특별시 용산구 원효로*가 **-*번지 삼보빌딩 *층서울특별시 용산구 원효로**길 ** (원효로*가,삼보빌딩 *층)<NA>(주)비엔티2006-04-04 13:44:46I2018-08-31 23:59:59.0<NA>196597.317331448112.026173게임물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73020000CDFF224112199900000819991006<NA>1영업/정상13영업중<NA><NA><NA><NA>703-8653<NA>140132서울특별시 용산구 청파동*가 **-*번지 청파프라자 ***호서울특별시 용산구 청파로**나길 *, ***호 (청파동*가,청파프라자)<NA>명립2006-04-04 13:48:42I2018-08-31 23:59:59.0<NA>196999.869048449223.952135게임물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83020000CDFF224112199900000919990709<NA>3폐업3폐업20090616<NA><NA><NA>705-1661<NA><NA>서울특별시 용산구 한강로*가 **-**번지 삼구빌딩 ****호서울특별시 용산구 청파로 **, ****호 (한강로*가,삼구빌딩)<NA>에이케이통상2009-06-16 17:44:22I2018-08-31 23:59:59.0<NA>196060.559013447732.807254게임물배급업유통관련업<NA><NA>게임몰100.0<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>
93020000CDFF224112199900001019991107<NA>3폐업3폐업20080201<NA><NA><NA><NA><NA>140849서울특별시 용산구 원효로*가 ***-*번지서울특별시 용산구 원효로**길 ** (원효로*가)<NA>(주)인터소프트 멀티미디어2008-02-01 11:38:51I2018-08-31 23:59:59.0<NA>196061.13509447946.549792게임물배급업유통관련업<NA><NA><NA><NA><NA><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
1393020000CDFF224112202000000220130910<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2000-1463<NA><NA>서울특별시 용산구 한강로*가 **-**서울특별시 용산구 서빙고로 **, **,**,**층 (한강로*가)4387주식회사 세계일보2020-11-23 09:24:03U2020-11-25 02:40:00.0<NA>197071.403206447073.622842게임물배급업유통관련업<NA><NA>온라인게임1375.21<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1403020000CDFF22411220210000012021-01-19<NA>1영업/정상13영업중<NA><NA><NA><NA>02-562-2285<NA><NA>서울특별시 용산구 한강로*가 **-**서울특별시 용산구 서빙고로 **, **~**층 (한강로*가)4387(주)샌드박스네트워크2023-07-31 12:58:04U2022-12-08 00:02:00.0<NA>197056.728931447077.126289<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1413020000CDFF224112202100000220160520<NA>3폐업3폐업20211110<NA><NA><NA>02-2055-3121<NA><NA>서울특별시 용산구 한강로*가 **-* 용산트레이드센터서울특별시 용산구 한강대로 **, 용산트레이드센터 *층 (한강로*가)4389(주)수퍼브2021-11-11 09:11:39U2021-11-13 02:40:00.0<NA>196778.495552446947.960824게임물배급업유통관련업<NA><NA>모바일, 온라인, 비디오 게임238.3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1423020000CDFF224112202100000320191014<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3444-0105<NA><NA>서울특별시 용산구 한강로*가 **-* 용산트레이드센터서울특별시 용산구 한강대로 **, 용산트레이드센터 (한강로*가)4389주식회사 하이브2021-07-15 11:35:15U2021-07-17 02:40:00.0<NA>196778.495552446947.960824게임물배급업유통관련업0<NA>모바일게임, 온라인게임481.900<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
1433020000CDFF224112202100000420210713<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 이태원동 ***-***서울특별시 용산구 소월로**길 *-**, *층 (이태원동)4342주식회사 테이블원2021-07-13 17:43:29I2021-07-15 00:22:52.0<NA>199261.69679448880.712135게임물배급업유통관련업0<NA>온라인게임, 모바일게임28.0300<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
1443020000CDFF224112202100000520211206<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 효창동 *-**서울특별시 용산구 효창원로**길 *, *층 **호 (효창동)4312리라소프트2021-12-06 16:43:44I2021-12-08 00:22:43.0<NA>196613.551889448827.900911게임물배급업유통관련업0<NA>모바일 전략게임(앱)3.300<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
1453020000CDFF224112202200000120170925<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4633-1565<NA><NA>서울특별시 용산구 이태원동 *-*서울특별시 용산구 회나무로 **, *층 (이태원동)4344(주)아이엔케이엔터2022-03-28 13:35:45I2021-12-02 21:00:00.0<NA>199472.133258448714.747683<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1463020000CDFF224112202200000220221107<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 이태원동 *-*서울특별시 용산구 회나무로 **, *,*층 (이태원동)4344(주)모모콘2022-11-07 09:07:35I2021-11-01 00:09:00.0<NA>199472.133258448714.747683<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1473020000CDFF22411220230000012023-02-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 이태원동 ***-* 이태원로***서울특별시 용산구 이태원로 ***, 이태원로*** *층 ***호 (이태원동)4405nosugar Games2023-02-13 15:38:22I2022-12-01 23:05:00.0<NA>199592.672867448020.184718<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1483020000CDFF22411220230000022023-07-14<NA>1영업/정상13영업중<NA><NA><NA><NA>027197917<NA><NA>서울특별시 용산구 효창동 *-*** 송원빌딩서울특별시 용산구 효창원로**길 **, ***호 (효창동, 송원빌딩)4318(주)쑨왕코리아2023-07-14 17:05:31I2022-12-06 23:06:00.0<NA>196476.377793448861.756854<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>