Overview

Dataset statistics

Number of variables56
Number of observations102
Missing cells2655
Missing cells (%)46.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory48.5 KiB
Average record size in memory487.3 B

Variable types

Categorical19
Text5
DateTime4
Unsupported21
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
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-16689/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (92.1%)Imbalance
주변환경명 is highly imbalanced (66.4%)Imbalance
지하층수 is highly imbalanced (69.4%)Imbalance
건물용도명 is highly imbalanced (57.7%)Imbalance
통로너비 is highly imbalanced (92.1%)Imbalance
조명시설조도 is highly imbalanced (92.1%)Imbalance
노래방실수 is highly imbalanced (92.1%)Imbalance
청소년실수 is highly imbalanced (92.1%)Imbalance
총게임기수 is highly imbalanced (92.1%)Imbalance
폐업일자 has 77 (75.5%) missing valuesMissing
휴업시작일자 has 102 (100.0%) missing valuesMissing
휴업종료일자 has 102 (100.0%) missing valuesMissing
재개업일자 has 102 (100.0%) missing valuesMissing
전화번호 has 84 (82.4%) missing valuesMissing
소재지면적 has 102 (100.0%) missing valuesMissing
소재지우편번호 has 94 (92.2%) missing valuesMissing
도로명주소 has 2 (2.0%) missing valuesMissing
도로명우편번호 has 22 (21.6%) missing valuesMissing
업태구분명 has 102 (100.0%) missing valuesMissing
좌표정보(X) has 15 (14.7%) missing valuesMissing
좌표정보(Y) has 15 (14.7%) missing valuesMissing
총층수 has 90 (88.2%) missing valuesMissing
시설면적 has 28 (27.5%) missing valuesMissing
지상층수 has 86 (84.3%) missing valuesMissing
비상계단여부 has 102 (100.0%) missing valuesMissing
비상구여부 has 102 (100.0%) missing valuesMissing
자동환기여부 has 102 (100.0%) missing valuesMissing
청소년실여부 has 102 (100.0%) missing valuesMissing
특수조명여부 has 102 (100.0%) missing valuesMissing
방음시설여부 has 102 (100.0%) missing valuesMissing
비디오재생기명 has 102 (100.0%) missing valuesMissing
조명시설유무 has 102 (100.0%) missing valuesMissing
음향시설여부 has 102 (100.0%) missing valuesMissing
편의시설여부 has 102 (100.0%) missing valuesMissing
소방시설여부 has 102 (100.0%) missing valuesMissing
기존게임업외업종명 has 102 (100.0%) missing valuesMissing
제공게임물명 has 102 (100.0%) missing valuesMissing
공연장형태구분명 has 102 (100.0%) missing valuesMissing
품목명 has 102 (100.0%) missing valuesMissing
최초등록시점 has 102 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
시설면적 has 2 (2.0%) zerosZeros

Reproduction

Analysis started2024-05-11 05:30:05.929097
Analysis finished2024-05-11 05:30:07.035704
Duration1.11 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
3230000
102 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 102
100.0%

Length

2024-05-11T14:30:07.137827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:30:07.292216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 102
100.0%

관리번호
Text

UNIQUE 

Distinct102
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
2024-05-11T14:30:07.599255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2040
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

Unique102 ?
Unique (%)100.0%

Sample

1st rowCDFF2241122005000001
2nd rowCDFF2241122005000002
3rd rowCDFF2241122005000003
4th rowCDFF2241122006000001
5th rowCDFF2241122006000002
ValueCountFrequency (%)
cdff2241122005000001 1
 
1.0%
cdff2241122018000006 1
 
1.0%
cdff2241122019000009 1
 
1.0%
cdff2241122019000007 1
 
1.0%
cdff2241122019000006 1
 
1.0%
cdff2241122019000005 1
 
1.0%
cdff2241122019000004 1
 
1.0%
cdff2241122019000003 1
 
1.0%
cdff2241122019000002 1
 
1.0%
cdff2241122019000001 1
 
1.0%
Other values (92) 92
90.2%
2024-05-11T14:30:08.185614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 643
31.5%
2 466
22.8%
1 288
14.1%
F 204
 
10.0%
4 126
 
6.2%
C 102
 
5.0%
D 102
 
5.0%
3 28
 
1.4%
9 22
 
1.1%
5 17
 
0.8%
Other values (3) 42
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1632
80.0%
Uppercase Letter 408
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 643
39.4%
2 466
28.6%
1 288
17.6%
4 126
 
7.7%
3 28
 
1.7%
9 22
 
1.3%
5 17
 
1.0%
7 16
 
1.0%
6 14
 
0.9%
8 12
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
F 204
50.0%
C 102
25.0%
D 102
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1632
80.0%
Latin 408
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 643
39.4%
2 466
28.6%
1 288
17.6%
4 126
 
7.7%
3 28
 
1.7%
9 22
 
1.3%
5 17
 
1.0%
7 16
 
1.0%
6 14
 
0.9%
8 12
 
0.7%
Latin
ValueCountFrequency (%)
F 204
50.0%
C 102
25.0%
D 102
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2040
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 643
31.5%
2 466
22.8%
1 288
14.1%
F 204
 
10.0%
4 126
 
6.2%
C 102
 
5.0%
D 102
 
5.0%
3 28
 
1.4%
9 22
 
1.1%
5 17
 
0.8%
Other values (3) 42
 
2.1%

인허가일자
Date

Distinct101
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
Minimum2002-12-31 00:00:00
Maximum2024-02-05 00:00:00
2024-05-11T14:30:08.477354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:30:08.762688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
<NA>
101 
20101224
 
1

Length

Max length8
Median length4
Mean length4.0392157
Min length4

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 101
99.0%
20101224 1
 
1.0%

Length

2024-05-11T14:30:09.040420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:30:09.215943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 101
99.0%
20101224 1
 
1.0%

영업상태코드
Categorical

Distinct4
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size948.0 B
1
76 
3
20 
5
 
5
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 76
74.5%
3 20
 
19.6%
5 5
 
4.9%
4 1
 
1.0%

Length

2024-05-11T14:30:09.395104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:30:09.563187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 76
74.5%
3 20
 
19.6%
5 5
 
4.9%
4 1
 
1.0%

영업상태명
Categorical

Distinct4
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size948.0 B
영업/정상
76 
폐업
20 
제외/삭제/전출
 
5
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.6470588
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 76
74.5%
폐업 20
 
19.6%
제외/삭제/전출 5
 
4.9%
취소/말소/만료/정지/중지 1
 
1.0%

Length

2024-05-11T14:30:09.779838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:30:10.105662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 76
74.5%
폐업 20
 
19.6%
제외/삭제/전출 5
 
4.9%
취소/말소/만료/정지/중지 1
 
1.0%

상세영업상태코드
Categorical

Distinct4
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size948.0 B
13
76 
3
20 
15
 
5
31
 
1

Length

Max length2
Median length2
Mean length1.8039216
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 76
74.5%
3 20
 
19.6%
15 5
 
4.9%
31 1
 
1.0%

Length

2024-05-11T14:30:10.312544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:30:10.491094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 76
74.5%
3 20
 
19.6%
15 5
 
4.9%
31 1
 
1.0%

상세영업상태명
Categorical

Distinct4
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size948.0 B
영업중
76 
폐업
20 
전출
 
5
등록취소
 
1

Length

Max length4
Median length3
Mean length2.7647059
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 76
74.5%
폐업 20
 
19.6%
전출 5
 
4.9%
등록취소 1
 
1.0%

Length

2024-05-11T14:30:10.726399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:30:10.936394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 76
74.5%
폐업 20
 
19.6%
전출 5
 
4.9%
등록취소 1
 
1.0%

폐업일자
Date

MISSING 

Distinct25
Distinct (%)100.0%
Missing77
Missing (%)75.5%
Memory size948.0 B
Minimum2010-04-19 00:00:00
Maximum2024-04-03 00:00:00
2024-05-11T14:30:11.138227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:30:11.330609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

전화번호
Text

MISSING 

Distinct17
Distinct (%)94.4%
Missing84
Missing (%)82.4%
Memory size948.0 B
2024-05-11T14:30:11.622614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.055556
Min length8

Characters and Unicode

Total characters199
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)88.9%

Sample

1st row2052-5646
2nd row070-7010-6919
3rd row070-7017-6014
4th row070-8959-9282
5th row02-419-7357
ValueCountFrequency (%)
02-868-5757 2
 
11.1%
02-416-0093 1
 
5.6%
2052-5646 1
 
5.6%
024499923 1
 
5.6%
07043330775 1
 
5.6%
024112223 1
 
5.6%
070-4809-4777 1
 
5.6%
02-540-8542 1
 
5.6%
556-0002 1
 
5.6%
070-7010-6919 1
 
5.6%
Other values (7) 7
38.9%
2024-05-11T14:30:12.115559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 37
18.6%
- 28
14.1%
2 23
11.6%
7 22
11.1%
4 16
8.0%
5 15
7.5%
1 14
 
7.0%
9 14
 
7.0%
8 12
 
6.0%
6 9
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 171
85.9%
Dash Punctuation 28
 
14.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 37
21.6%
2 23
13.5%
7 22
12.9%
4 16
9.4%
5 15
8.8%
1 14
 
8.2%
9 14
 
8.2%
8 12
 
7.0%
6 9
 
5.3%
3 9
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 199
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 37
18.6%
- 28
14.1%
2 23
11.6%
7 22
11.1%
4 16
8.0%
5 15
7.5%
1 14
 
7.0%
9 14
 
7.0%
8 12
 
6.0%
6 9
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 199
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 37
18.6%
- 28
14.1%
2 23
11.6%
7 22
11.1%
4 16
8.0%
5 15
7.5%
1 14
 
7.0%
9 14
 
7.0%
8 12
 
6.0%
6 9
 
4.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)75.0%
Missing94
Missing (%)92.2%
Infinite0
Infinite (%)0.0%
Mean138845.5
Minimum138805
Maximum138865
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-11T14:30:12.326468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum138805
5-th percentile138812.7
Q1138827
median138855.5
Q3138864.25
95-th percentile138865
Maximum138865
Range60
Interquartile range (IQR)37.25

Descriptive statistics

Standard deviation23.027933
Coefficient of variation (CV)0.00016585293
Kurtosis-0.74811228
Mean138845.5
Median Absolute Deviation (MAD)9.5
Skewness-0.83289962
Sum1110764
Variance530.28571
MonotonicityNot monotonic
2024-05-11T14:30:12.483637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
138827 2
 
2.0%
138865 2
 
2.0%
138805 1
 
1.0%
138864 1
 
1.0%
138849 1
 
1.0%
138862 1
 
1.0%
(Missing) 94
92.2%
ValueCountFrequency (%)
138805 1
1.0%
138827 2
2.0%
138849 1
1.0%
138862 1
1.0%
138864 1
1.0%
138865 2
2.0%
ValueCountFrequency (%)
138865 2
2.0%
138864 1
1.0%
138862 1
1.0%
138849 1
1.0%
138827 2
2.0%
138805 1
1.0%

지번주소
Text

Distinct80
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Memory size948.0 B
2024-05-11T14:30:12.836318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length33
Mean length25.77451
Min length19

Characters and Unicode

Total characters2629
Distinct characters126
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)66.7%

Sample

1st row서울특별시 송파구 잠실동 ***-**번지
2nd row서울특별시 송파구 가락동 **-*번지
3rd row서울특별시 송파구 방이동 **번지
4th row서울특별시 송파구 가락동 **-*번지
5th row서울특별시 송파구 잠실동 ***번지
ValueCountFrequency (%)
서울특별시 102
20.5%
송파구 102
20.5%
번지 70
14.1%
문정동 30
 
6.0%
29
 
5.8%
호 18
 
3.6%
가락동 16
 
3.2%
방이동 15
 
3.0%
층 15
 
3.0%
잠실동 14
 
2.8%
Other values (53) 86
17.3%
2024-05-11T14:30:13.558812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
464
17.6%
* 441
16.8%
파 119
 
4.5%
송 112
 
4.3%
동 109
 
4.1%
시 105
 
4.0%
서 102
 
3.9%
특 102
 
3.9%
별 102
 
3.9%
구 102
 
3.9%
Other values (116) 871
33.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1610
61.2%
Space Separator 464
 
17.6%
Other Punctuation 441
 
16.8%
Dash Punctuation 82
 
3.1%
Uppercase Letter 29
 
1.1%
Decimal Number 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 119
 
7.4%
송 112
 
7.0%
동 109
 
6.8%
시 105
 
6.5%
서 102
 
6.3%
특 102
 
6.3%
별 102
 
6.3%
구 102
 
6.3%
울 102
 
6.3%
지 80
 
5.0%
Other values (100) 575
35.7%
Uppercase Letter
ValueCountFrequency (%)
K 7
24.1%
D 6
20.7%
G 5
17.2%
C 4
13.8%
S 2
 
6.9%
P 1
 
3.4%
E 1
 
3.4%
I 1
 
3.4%
A 1
 
3.4%
V 1
 
3.4%
Decimal Number
ValueCountFrequency (%)
8 1
33.3%
7 1
33.3%
9 1
33.3%
Space Separator
ValueCountFrequency (%)
464
100.0%
Other Punctuation
ValueCountFrequency (%)
* 441
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1610
61.2%
Common 990
37.7%
Latin 29
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 119
 
7.4%
송 112
 
7.0%
동 109
 
6.8%
시 105
 
6.5%
서 102
 
6.3%
특 102
 
6.3%
별 102
 
6.3%
구 102
 
6.3%
울 102
 
6.3%
지 80
 
5.0%
Other values (100) 575
35.7%
Latin
ValueCountFrequency (%)
K 7
24.1%
D 6
20.7%
G 5
17.2%
C 4
13.8%
S 2
 
6.9%
P 1
 
3.4%
E 1
 
3.4%
I 1
 
3.4%
A 1
 
3.4%
V 1
 
3.4%
Common
ValueCountFrequency (%)
464
46.9%
* 441
44.5%
- 82
 
8.3%
8 1
 
0.1%
7 1
 
0.1%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1610
61.2%
ASCII 1019
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
464
45.5%
* 441
43.3%
- 82
 
8.0%
K 7
 
0.7%
D 6
 
0.6%
G 5
 
0.5%
C 4
 
0.4%
S 2
 
0.2%
P 1
 
0.1%
8 1
 
0.1%
Other values (6) 6
 
0.6%
Hangul
ValueCountFrequency (%)
파 119
 
7.4%
송 112
 
7.0%
동 109
 
6.8%
시 105
 
6.5%
서 102
 
6.3%
특 102
 
6.3%
별 102
 
6.3%
구 102
 
6.3%
울 102
 
6.3%
지 80
 
5.0%
Other values (100) 575
35.7%

도로명주소
Text

MISSING 

Distinct94
Distinct (%)94.0%
Missing2
Missing (%)2.0%
Memory size948.0 B
2024-05-11T14:30:14.053150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length41
Mean length36.27
Min length23

Characters and Unicode

Total characters3627
Distinct characters160
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

Unique91 ?
Unique (%)91.0%

Sample

1st row서울특별시 송파구 백제고분로**길 ** (잠실동)
2nd row서울특별시 송파구 양재대로**길 ** (가락동)
3rd row서울특별시 송파구 올림픽로 *** (방이동)
4th row서울특별시 송파구 송파대로**길 ** (가락동)
5th row서울특별시 송파구 삼전로**길 ** (잠실동)
ValueCountFrequency (%)
101
14.9%
서울특별시 100
14.7%
송파구 100
14.7%
호 55
 
8.1%
층 34
 
5.0%
문정동 28
 
4.1%
가락동 14
 
2.1%
방이동 14
 
2.1%
잠실동 13
 
1.9%
백제고분로**길 11
 
1.6%
Other values (108) 210
30.9%
2024-05-11T14:30:14.867826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 617
17.0%
599
 
16.5%
동 126
 
3.5%
파 123
 
3.4%
송 119
 
3.3%
, 115
 
3.2%
시 103
 
2.8%
서 102
 
2.8%
로 102
 
2.8%
) 100
 
2.8%
Other values (150) 1521
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2023
55.8%
Other Punctuation 732
 
20.2%
Space Separator 599
 
16.5%
Close Punctuation 100
 
2.8%
Open Punctuation 100
 
2.8%
Uppercase Letter 44
 
1.2%
Dash Punctuation 19
 
0.5%
Decimal Number 10
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 126
 
6.2%
파 123
 
6.1%
송 119
 
5.9%
시 103
 
5.1%
서 102
 
5.0%
로 102
 
5.0%
울 100
 
4.9%
구 100
 
4.9%
별 100
 
4.9%
특 100
 
4.9%
Other values (124) 948
46.9%
Uppercase Letter
ValueCountFrequency (%)
A 7
15.9%
K 6
13.6%
C 6
13.6%
D 6
13.6%
G 6
13.6%
B 3
6.8%
S 2
 
4.5%
I 1
 
2.3%
P 1
 
2.3%
E 1
 
2.3%
Other values (5) 5
11.4%
Decimal Number
ValueCountFrequency (%)
1 4
40.0%
6 2
20.0%
2 2
20.0%
0 1
 
10.0%
3 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
* 617
84.3%
, 115
 
15.7%
Space Separator
ValueCountFrequency (%)
599
100.0%
Close Punctuation
ValueCountFrequency (%)
) 100
100.0%
Open Punctuation
ValueCountFrequency (%)
( 100
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2023
55.8%
Common 1560
43.0%
Latin 44
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 126
 
6.2%
파 123
 
6.1%
송 119
 
5.9%
시 103
 
5.1%
서 102
 
5.0%
로 102
 
5.0%
울 100
 
4.9%
구 100
 
4.9%
별 100
 
4.9%
특 100
 
4.9%
Other values (124) 948
46.9%
Latin
ValueCountFrequency (%)
A 7
15.9%
K 6
13.6%
C 6
13.6%
D 6
13.6%
G 6
13.6%
B 3
6.8%
S 2
 
4.5%
I 1
 
2.3%
P 1
 
2.3%
E 1
 
2.3%
Other values (5) 5
11.4%
Common
ValueCountFrequency (%)
* 617
39.6%
599
38.4%
, 115
 
7.4%
) 100
 
6.4%
( 100
 
6.4%
- 19
 
1.2%
1 4
 
0.3%
6 2
 
0.1%
2 2
 
0.1%
0 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2023
55.8%
ASCII 1604
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 617
38.5%
599
37.3%
, 115
 
7.2%
) 100
 
6.2%
( 100
 
6.2%
- 19
 
1.2%
A 7
 
0.4%
K 6
 
0.4%
C 6
 
0.4%
D 6
 
0.4%
Other values (16) 29
 
1.8%
Hangul
ValueCountFrequency (%)
동 126
 
6.2%
파 123
 
6.1%
송 119
 
5.9%
시 103
 
5.1%
서 102
 
5.0%
로 102
 
5.0%
울 100
 
4.9%
구 100
 
4.9%
별 100
 
4.9%
특 100
 
4.9%
Other values (124) 948
46.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)52.5%
Missing22
Missing (%)21.6%
Infinite0
Infinite (%)0.0%
Mean9019.5125
Minimum5501
Maximum138840
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-11T14:30:15.106098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5501
5-th percentile5510
Q15561
median5717.5
Q35836
95-th percentile5854
Maximum138840
Range133339
Interquartile range (IQR)275

Descriptive statistics

Standard deviation20864.732
Coefficient of variation (CV)2.3132883
Kurtosis37.394644
Mean9019.5125
Median Absolute Deviation (MAD)118.5
Skewness6.2014741
Sum721561
Variance4.3533705 × 108
MonotonicityNot monotonic
2024-05-11T14:30:15.351396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
5836 13
 
12.7%
5854 6
 
5.9%
5542 5
 
4.9%
5719 4
 
3.9%
5510 3
 
2.9%
5548 3
 
2.9%
5561 3
 
2.9%
5717 3
 
2.9%
5724 3
 
2.9%
5840 2
 
2.0%
Other values (32) 35
34.3%
(Missing) 22
21.6%
ValueCountFrequency (%)
5501 1
 
1.0%
5502 1
 
1.0%
5510 3
2.9%
5542 5
4.9%
5543 1
 
1.0%
5545 1
 
1.0%
5546 1
 
1.0%
5548 3
2.9%
5553 1
 
1.0%
5554 1
 
1.0%
ValueCountFrequency (%)
138840 1
 
1.0%
138160 1
 
1.0%
5855 1
 
1.0%
5854 6
5.9%
5848 1
 
1.0%
5841 1
 
1.0%
5840 2
 
2.0%
5839 1
 
1.0%
5838 2
 
2.0%
5836 13
12.7%

사업장명
Text

UNIQUE 

Distinct102
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
2024-05-11T14:30:15.775475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length12
Mean length8.3039216
Min length2

Characters and Unicode

Total characters847
Distinct characters189
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

Unique102 ?
Unique (%)100.0%

Sample

1st row(주)비비코퍼레이션
2nd row(주)코에이코리아
3rd row(주)아이원엔터테인먼트
4th row마스
5th row뮤라
ValueCountFrequency (%)
주식회사 33
 
22.6%
스케인글로브 2
 
1.4%
주)비비코퍼레이션 1
 
0.7%
쓰리비전 1
 
0.7%
주)다빈치게임즈 1
 
0.7%
소프트스퀘어게임즈 1
 
0.7%
망고소프트 1
 
0.7%
브라더스745 1
 
0.7%
앤에스파크 1
 
0.7%
엔드림 1
 
0.7%
Other values (103) 103
70.5%
2024-05-11T14:30:16.406698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 67
 
7.9%
44
 
5.2%
( 38
 
4.5%
) 38
 
4.5%
사 33
 
3.9%
회 33
 
3.9%
식 33
 
3.9%
이 29
 
3.4%
스 28
 
3.3%
트 25
 
3.0%
Other values (179) 479
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 689
81.3%
Space Separator 44
 
5.2%
Open Punctuation 38
 
4.5%
Close Punctuation 38
 
4.5%
Uppercase Letter 18
 
2.1%
Lowercase Letter 17
 
2.0%
Decimal Number 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 67
 
9.7%
사 33
 
4.8%
회 33
 
4.8%
식 33
 
4.8%
이 29
 
4.2%
스 28
 
4.1%
트 25
 
3.6%
소 13
 
1.9%
엔 13
 
1.9%
인 13
 
1.9%
Other values (150) 402
58.3%
Uppercase Letter
ValueCountFrequency (%)
P 3
16.7%
I 2
11.1%
L 2
11.1%
O 2
11.1%
M 2
11.1%
A 1
 
5.6%
C 1
 
5.6%
T 1
 
5.6%
S 1
 
5.6%
K 1
 
5.6%
Other values (2) 2
11.1%
Lowercase Letter
ValueCountFrequency (%)
l 3
17.6%
a 3
17.6%
r 2
11.8%
t 2
11.8%
y 1
 
5.9%
u 1
 
5.9%
d 1
 
5.9%
n 1
 
5.9%
b 1
 
5.9%
g 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
5 1
33.3%
4 1
33.3%
7 1
33.3%
Space Separator
ValueCountFrequency (%)
44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 689
81.3%
Common 123
 
14.5%
Latin 35
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 67
 
9.7%
사 33
 
4.8%
회 33
 
4.8%
식 33
 
4.8%
이 29
 
4.2%
스 28
 
4.1%
트 25
 
3.6%
소 13
 
1.9%
엔 13
 
1.9%
인 13
 
1.9%
Other values (150) 402
58.3%
Latin
ValueCountFrequency (%)
l 3
 
8.6%
P 3
 
8.6%
a 3
 
8.6%
r 2
 
5.7%
t 2
 
5.7%
I 2
 
5.7%
L 2
 
5.7%
O 2
 
5.7%
M 2
 
5.7%
A 1
 
2.9%
Other values (13) 13
37.1%
Common
ValueCountFrequency (%)
44
35.8%
( 38
30.9%
) 38
30.9%
5 1
 
0.8%
4 1
 
0.8%
7 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 689
81.3%
ASCII 158
 
18.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 67
 
9.7%
사 33
 
4.8%
회 33
 
4.8%
식 33
 
4.8%
이 29
 
4.2%
스 28
 
4.1%
트 25
 
3.6%
소 13
 
1.9%
엔 13
 
1.9%
인 13
 
1.9%
Other values (150) 402
58.3%
ASCII
ValueCountFrequency (%)
44
27.8%
( 38
24.1%
) 38
24.1%
l 3
 
1.9%
P 3
 
1.9%
a 3
 
1.9%
r 2
 
1.3%
t 2
 
1.3%
I 2
 
1.3%
L 2
 
1.3%
Other values (19) 21
13.3%

최종수정일자
Date

UNIQUE 

Distinct102
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
Minimum2006-03-06 11:39:40
Maximum2024-05-02 17:42:12
2024-05-11T14:30:16.625173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:30:16.863154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
I
82 
U
20 

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 82
80.4%
U 20
 
19.6%

Length

2024-05-11T14:30:17.122546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:30:17.580848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 82
80.4%
u 20
 
19.6%

데이터갱신일자
Date

Distinct42
Distinct (%)41.2%
Missing0
Missing (%)0.0%
Memory size948.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:04:00
2024-05-11T14:30:17.721758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:30:17.929025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct73
Distinct (%)83.9%
Missing15
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean209621.74
Minimum207081.47
Maximum212713.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-11T14:30:18.219817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum207081.47
5-th percentile207099.56
Q1209029.81
median209580.19
Q3210516.12
95-th percentile211566.94
Maximum212713.09
Range5631.6215
Interquartile range (IQR)1486.3159

Descriptive statistics

Standard deviation1312.9584
Coefficient of variation (CV)0.0062634648
Kurtosis-0.33286794
Mean209621.74
Median Absolute Deviation (MAD)904.3745
Skewness-0.31473349
Sum18237092
Variance1723859.8
MonotonicityNot monotonic
2024-05-11T14:30:18.455648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
209248.063694462 2
 
2.0%
207099.557340127 2
 
2.0%
210758.119119654 2
 
2.0%
210398.0 2
 
2.0%
210289.0 2
 
2.0%
210558.0 2
 
2.0%
211768.178384403 2
 
2.0%
210480.282018702 2
 
2.0%
210481.077142289 2
 
2.0%
209108.711135042 2
 
2.0%
Other values (63) 67
65.7%
(Missing) 15
 
14.7%
ValueCountFrequency (%)
207081.468563852 1
1.0%
207082.58733189 2
2.0%
207086.029217428 1
1.0%
207099.557340127 2
2.0%
207125.178244289 1
1.0%
207520.01530363 1
1.0%
207544.476756196 1
1.0%
207676.944346977 1
1.0%
207696.671505985 1
1.0%
207750.499013776 1
1.0%
ValueCountFrequency (%)
212713.090111199 1
1.0%
212325.39591829 1
1.0%
211866.581462869 1
1.0%
211768.178384403 2
2.0%
211097.386827562 1
1.0%
211088.117066794 1
1.0%
211053.853517605 1
1.0%
211011.026479659 1
1.0%
210986.460698452 2
2.0%
210944.860093544 1
1.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct73
Distinct (%)83.9%
Missing15
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean444413.35
Minimum441725.29
Maximum446139.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-11T14:30:18.701059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441725.29
5-th percentile441852.76
Q1443563.28
median444770.63
Q3445470.97
95-th percentile445982.78
Maximum446139.15
Range4413.8591
Interquartile range (IQR)1907.6947

Descriptive statistics

Standard deviation1298.2729
Coefficient of variation (CV)0.0029213184
Kurtosis-0.70308418
Mean444413.35
Median Absolute Deviation (MAD)960.45173
Skewness-0.61655362
Sum38663961
Variance1685512.5
MonotonicityNot monotonic
2024-05-11T14:30:18.962677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
446061.439207259 2
 
2.0%
445332.816317269 2
 
2.0%
443662.956402309 2
 
2.0%
442553.0 2
 
2.0%
442448.0 2
 
2.0%
442587.0 2
 
2.0%
444780.071792587 2
 
2.0%
441833.16323518 2
 
2.0%
443448.892122874 2
 
2.0%
444668.643522983 2
 
2.0%
Other values (63) 67
65.7%
(Missing) 15
 
14.7%
ValueCountFrequency (%)
441725.293491662 2
2.0%
441730.920486073 1
1.0%
441833.16323518 2
2.0%
441898.492187301 1
1.0%
441996.227705236 1
1.0%
442328.200332051 1
1.0%
442448.0 2
2.0%
442553.0 2
2.0%
442587.0 2
2.0%
442663.0 1
1.0%
ValueCountFrequency (%)
446139.152554604 1
1.0%
446087.944327019 1
1.0%
446061.439207259 2
2.0%
445992.2835 1
1.0%
445960.615515654 1
1.0%
445943.944356679 1
1.0%
445937.543455637 1
1.0%
445913.088912404 1
1.0%
445899.697029576 1
1.0%
445868.526191867 2
2.0%

문화체육업종명
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
게임물배급업
81 
<NA>
21 

Length

Max length6
Median length6
Mean length5.5882353
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물배급업 81
79.4%
<NA> 21
 
20.6%

Length

2024-05-11T14:30:19.180152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:30:19.366638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물배급업 81
79.4%
na 21
 
20.6%

문화사업자구분명
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
유통관련업
81 
<NA>
21 

Length

Max length5
Median length5
Mean length4.7941176
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 81
79.4%
<NA> 21
 
20.6%

Length

2024-05-11T14:30:19.523412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:30:19.682806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 81
79.4%
na 21
 
20.6%

총층수
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)83.3%
Missing90
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean11.75
Minimum0
Maximum26
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-11T14:30:19.877069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.2
Q14.75
median10
Q318.5
95-th percentile24.35
Maximum26
Range26
Interquartile range (IQR)13.75

Descriptive statistics

Standard deviation8.4759017
Coefficient of variation (CV)0.72135333
Kurtosis-1.194332
Mean11.75
Median Absolute Deviation (MAD)6
Skewness0.37548813
Sum141
Variance71.840909
MonotonicityNot monotonic
2024-05-11T14:30:20.074100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
4 2
 
2.0%
10 2
 
2.0%
23 1
 
1.0%
20 1
 
1.0%
6 1
 
1.0%
15 1
 
1.0%
26 1
 
1.0%
18 1
 
1.0%
5 1
 
1.0%
0 1
 
1.0%
(Missing) 90
88.2%
ValueCountFrequency (%)
0 1
1.0%
4 2
2.0%
5 1
1.0%
6 1
1.0%
10 2
2.0%
15 1
1.0%
18 1
1.0%
20 1
1.0%
23 1
1.0%
26 1
1.0%
ValueCountFrequency (%)
26 1
1.0%
23 1
1.0%
20 1
1.0%
18 1
1.0%
15 1
1.0%
10 2
2.0%
6 1
1.0%
5 1
1.0%
4 2
2.0%
0 1
1.0%

주변환경명
Categorical

IMBALANCE 

Distinct6
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size948.0 B
<NA>
88 
주택가주변
 
5
아파트지역
 
4
기타
 
2
유흥업소밀집지역
 
2

Length

Max length8
Median length4
Mean length4.1666667
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 88
86.3%
주택가주변 5
 
4.9%
아파트지역 4
 
3.9%
기타 2
 
2.0%
유흥업소밀집지역 2
 
2.0%
학교정화(상대) 1
 
1.0%

Length

2024-05-11T14:30:20.307713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:30:20.521998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 88
86.3%
주택가주변 5
 
4.9%
아파트지역 4
 
3.9%
기타 2
 
2.0%
유흥업소밀집지역 2
 
2.0%
학교정화(상대 1
 
1.0%

제작취급품목내용
Categorical

Distinct39
Distinct (%)38.2%
Missing0
Missing (%)0.0%
Memory size948.0 B
<NA>
23 
게임물
17 
모바일게임
7 
게임소프트웨어
6 
온라인게임
5 
Other values (34)
44 

Length

Max length22
Median length18
Mean length6.1372549
Min length2

Unique

Unique28 ?
Unique (%)27.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
22.5%
게임물 17
16.7%
모바일게임 7
 
6.9%
게임소프트웨어 6
 
5.9%
온라인게임 5
 
4.9%
게임 5
 
4.9%
게임물배급업 3
 
2.9%
온라인 2
 
2.0%
온라인게임, 모바일게임 2
 
2.0%
온라인게임물 2
 
2.0%
Other values (29) 30
29.4%

Length

2024-05-11T14:30:20.744259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 23
17.2%
게임물 17
 
12.7%
모바일게임 11
 
8.2%
온라인게임 9
 
6.7%
게임 9
 
6.7%
게임소프트웨어 7
 
5.2%
온라인 4
 
3.0%
및 4
 
3.0%
게임물배급업 3
 
2.2%
임대 2
 
1.5%
Other values (38) 45
33.6%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct67
Distinct (%)90.5%
Missing28
Missing (%)27.5%
Infinite0
Infinite (%)0.0%
Mean120.88243
Minimum0
Maximum934
Zeros2
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-11T14:30:20.970057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.495
Q123.7225
median48.15
Q3154.34
95-th percentile405.84
Maximum934
Range934
Interquartile range (IQR)130.6175

Descriptive statistics

Standard deviation172.57469
Coefficient of variation (CV)1.4276242
Kurtosis8.7474443
Mean120.88243
Median Absolute Deviation (MAD)40.75
Skewness2.7474785
Sum8945.3
Variance29782.024
MonotonicityNot monotonic
2024-05-11T14:30:21.176423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.3 3
 
2.9%
1.0 2
 
2.0%
29.75 2
 
2.0%
46.35 2
 
2.0%
0.0 2
 
2.0%
81.0 2
 
2.0%
15.0 1
 
1.0%
4.29 1
 
1.0%
23.63 1
 
1.0%
33.0 1
 
1.0%
Other values (57) 57
55.9%
(Missing) 28
27.5%
ValueCountFrequency (%)
0.0 2
2.0%
1.0 2
2.0%
3.3 3
2.9%
3.86 1
 
1.0%
4.29 1
 
1.0%
5.12 1
 
1.0%
6.6 1
 
1.0%
8.98 1
 
1.0%
9.9 1
 
1.0%
10.0 1
 
1.0%
ValueCountFrequency (%)
934.0 1
1.0%
717.74 1
1.0%
706.4 1
1.0%
423.0 1
1.0%
396.6 1
1.0%
356.58 1
1.0%
352.33 1
1.0%
282.2 1
1.0%
278.98 1
1.0%
257.27 1
1.0%

지상층수
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)62.5%
Missing86
Missing (%)84.3%
Infinite0
Infinite (%)0.0%
Mean7.5625
Minimum0
Maximum21
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-11T14:30:21.317145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.5
Q13
median5
Q310.25
95-th percentile18.75
Maximum21
Range21
Interquartile range (IQR)7.25

Descriptive statistics

Standard deviation6.6630198
Coefficient of variation (CV)0.88106047
Kurtosis-0.35611812
Mean7.5625
Median Absolute Deviation (MAD)2
Skewness1.0844486
Sum121
Variance44.395833
MonotonicityNot monotonic
2024-05-11T14:30:21.464137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
3 3
 
2.9%
5 3
 
2.9%
17 2
 
2.0%
4 2
 
2.0%
18 1
 
1.0%
8 1
 
1.0%
2 1
 
1.0%
21 1
 
1.0%
6 1
 
1.0%
0 1
 
1.0%
(Missing) 86
84.3%
ValueCountFrequency (%)
0 1
 
1.0%
2 1
 
1.0%
3 3
2.9%
4 2
2.0%
5 3
2.9%
6 1
 
1.0%
8 1
 
1.0%
17 2
2.0%
18 1
 
1.0%
21 1
 
1.0%
ValueCountFrequency (%)
21 1
 
1.0%
18 1
 
1.0%
17 2
2.0%
8 1
 
1.0%
6 1
 
1.0%
5 3
2.9%
4 2
2.0%
3 3
2.9%
2 1
 
1.0%
0 1
 
1.0%

지하층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size948.0 B
<NA>
89 
1
 
7
5
 
2
2
 
2
3
 
1

Length

Max length4
Median length4
Mean length3.6176471
Min length1

Unique

Unique2 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 89
87.3%
1 7
 
6.9%
5 2
 
2.0%
2 2
 
2.0%
3 1
 
1.0%
0 1
 
1.0%

Length

2024-05-11T14:30:21.643954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:30:21.780767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 89
87.3%
1 7
 
6.9%
5 2
 
2.0%
2 2
 
2.0%
3 1
 
1.0%
0 1
 
1.0%

건물용도명
Categorical

IMBALANCE 

Distinct6
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size948.0 B
<NA>
82 
근린생활시설
 
8
사무실
 
7
아파트
 
2
판매시설
 
2

Length

Max length6
Median length4
Mean length4.0784314
Min length3

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 82
80.4%
근린생활시설 8
 
7.8%
사무실 7
 
6.9%
아파트 2
 
2.0%
판매시설 2
 
2.0%
다세대주택 1
 
1.0%

Length

2024-05-11T14:30:21.947743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:30:22.118697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 82
80.4%
근린생활시설 8
 
7.8%
사무실 7
 
6.9%
아파트 2
 
2.0%
판매시설 2
 
2.0%
다세대주택 1
 
1.0%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
<NA>
101 
0
 
1

Length

Max length4
Median length4
Mean length3.9705882
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 101
99.0%
0 1
 
1.0%

Length

2024-05-11T14:30:22.301766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:30:22.458321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 101
99.0%
0 1
 
1.0%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
<NA>
101 
0
 
1

Length

Max length4
Median length4
Mean length3.9705882
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 101
99.0%
0 1
 
1.0%

Length

2024-05-11T14:30:22.634453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:30:22.790369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 101
99.0%
0 1
 
1.0%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
<NA>
101 
0
 
1

Length

Max length4
Median length4
Mean length3.9705882
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 101
99.0%
0 1
 
1.0%

Length

2024-05-11T14:30:22.951788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:30:23.120404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 101
99.0%
0 1
 
1.0%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
<NA>
101 
0
 
1

Length

Max length4
Median length4
Mean length3.9705882
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 101
99.0%
0 1
 
1.0%

Length

2024-05-11T14:30:23.250640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:30:23.354667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 101
99.0%
0 1
 
1.0%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
<NA>
101 
0
 
1

Length

Max length4
Median length4
Mean length3.9705882
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 101
99.0%
0 1
 
1.0%

Length

2024-05-11T14:30:23.472047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:30:23.580384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 101
99.0%
0 1
 
1.0%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

지역구분명
Categorical

Distinct5
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size948.0 B
<NA>
78 
일반상업지역
9 
주거지역
8 
일반주거지역
 
4
상업지역
 
3

Length

Max length6
Median length4
Mean length4.254902
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 78
76.5%
일반상업지역 9
 
8.8%
주거지역 8
 
7.8%
일반주거지역 4
 
3.9%
상업지역 3
 
2.9%

Length

2024-05-11T14:30:23.706447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:30:23.884321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 78
76.5%
일반상업지역 9
 
8.8%
주거지역 8
 
7.8%
일반주거지역 4
 
3.9%
상업지역 3
 
2.9%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03230000CDFF224112200500000120051123<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 잠실동 ***-**번지서울특별시 송파구 백제고분로**길 ** (잠실동)5566(주)비비코퍼레이션2011-10-30 14:10:18I2018-08-31 23:59:59.0<NA>207676.944347444989.665008게임물배급업유통관련업<NA><NA>게임물0.0<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>
13230000CDFF224112200500000220051129<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 **-*번지서울특별시 송파구 양재대로**길 ** (가락동)<NA>(주)코에이코리아2009-12-28 14:52:01I2018-08-31 23:59:59.0<NA>211011.02648444178.341006게임물배급업유통관련업<NA><NA>게임물배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23230000CDFF224112200500000320051028<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138827서울특별시 송파구 방이동 **번지서울특별시 송파구 올림픽로 *** (방이동)<NA>(주)아이원엔터테인먼트2007-03-22 11:24:47I2018-08-31 23:59:59.0<NA>209430.450574445913.088912게임물배급업유통관련업<NA><NA>게임물배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33230000CDFF224112200600000120060306<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138805서울특별시 송파구 가락동 **-*번지서울특별시 송파구 송파대로**길 ** (가락동)<NA>마스2006-03-06 11:39:40I2018-08-31 23:59:59.0<NA>210491.68889443508.221246게임물배급업유통관련업<NA>주택가주변<NA><NA><NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>주거지역
43230000CDFF224112200600000220060120<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138864서울특별시 송파구 잠실동 ***번지서울특별시 송파구 삼전로**길 ** (잠실동)<NA>뮤라2006-04-11 18:06:52I2018-08-31 23:59:59.0<NA>207696.671506445042.177286게임물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53230000CDFF224112200700000120070425<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138865서울특별시 송파구 잠실동 ***-*번지서울특별시 송파구 백제고분로**길 * (잠실동)<NA>티지 인터렉티브2007-04-25 16:39:48I2018-08-31 23:59:59.0<NA>207082.587332444837.291581게임물배급업유통관련업<NA><NA>온라인게임물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63230000CDFF224112200700000220070906<NA>3폐업3폐업20160415<NA><NA><NA><NA><NA><NA>서울특별시 송파구 방이동 ***-*번지 *층서울특별시 송파구 백제고분로 ***, *층 (방이동)5631한국전파기기국 주식회사2016-04-15 17:19:08I2018-08-31 23:59:59.0<NA>210022.183731445633.926337게임물배급업유통관련업<NA>기타게임물배급업0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>주거지역
73230000CDFF224112200700000320070903<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138865서울특별시 송파구 잠실동 ***-*번지 세화빌딩 ***호서울특별시 송파구 백제고분로**길 *, ***호 (잠실동,세화빌딩)<NA>(주)유메테크2008-02-18 11:55:39I2018-08-31 23:59:59.0<NA>207082.587332444837.291581게임물배급업유통관련업<NA><NA>게임물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83230000CDFF224112200700000420071002<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138849서울특별시 송파구 송파동 **-*번지 대우레이크월드빌딩 ***-*호서울특별시 송파구 석촌호수로 *** (송파동,대우레이크월드빌딩 ***-*호)<NA>(주)웹패턴2009-04-16 17:00:18I2018-08-31 23:59:59.0<NA>209495.573765445486.045813게임물배급업유통관련업23주택가주변게임물10.0185사무실<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>주거지역
93230000CDFF224112200800000320080715<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138862서울특별시 송파구 잠실동 ***-*번지서울특별시 송파구 백제고분로*길 **-** (잠실동)<NA>빠담빠담2008-07-15 18:51:09I2018-08-31 23:59:59.0<NA>207086.029217445310.21005게임물배급업유통관련업<NA><NA>온라인<NA><NA><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
923230000CDFF22411220230000022023-03-31<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 *** 송파테라타워* 비동 ****호서울특별시 송파구 송파대로 ***, 송파테라타워* 비동 ****호 (문정동)5854뉴클 주식회사2024-03-11 16:51:18U2023-12-02 23:03:00.0<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><NA><NA><NA><NA><NA><NA><NA><NA><NA>
933230000CDFF22411220230000032023-04-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 방이동 **-* 엘루이시티서울특별시 송파구 올림픽로**길 *, 엘루이시티 ****호 (방이동)5542멜로우월드2023-04-07 16:59:18I2022-12-04 00:09:00.0<NA>209496.980521445866.328718<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
943230000CDFF22411220230000042023-04-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 *** 문정현대지식산업센터*-*서울특별시 송파구 법원로**길 **, 문정현대지식산업센터*-* B동 ***호 (문정동)5836주식회사 빅맨게임즈2023-04-14 09:55:50I2022-12-03 23:06:00.0<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><NA><NA><NA><NA><NA><NA><NA><NA><NA>
953230000CDFF22411220230000052020-06-22<NA>5제외/삭제/전출15전출2024-03-21<NA><NA><NA>070-4432-8771<NA><NA>서울특별시 송파구 가락동 ** 아이티벤처타워서울특별시 송파구 중대로 ***, 아이티벤처타워 서관 ***호 (가락동)5717(주)빅브레이크게임즈2024-03-21 15:46:23U2023-12-02 22:03:00.0<NA>210758.11912443662.956402<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
963230000CDFF22411220230000062023-08-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 잠실동 ***-** 혜성빌딩서울특별시 송파구 올림픽로**길 **, 혜성빌딩 *층 (잠실동)5561블랙홀에볼레이션2023-08-22 16:07:17I2022-12-07 22:04:00.0<NA>207099.55734445332.816317<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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