Overview

Dataset statistics

Number of variables56
Number of observations195
Missing cells5013
Missing cells (%)45.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory92.7 KiB
Average record size in memory486.7 B

Variable types

Categorical19
Text6
DateTime4
Unsupported22
Numeric5

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-17825/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지우편번호 is highly imbalanced (91.0%)Imbalance
총층수 is highly imbalanced (73.5%)Imbalance
주변환경명 is highly imbalanced (74.8%)Imbalance
지하층수 is highly imbalanced (59.5%)Imbalance
건물용도명 is highly imbalanced (64.6%)Imbalance
통로너비 is highly imbalanced (59.1%)Imbalance
조명시설조도 is highly imbalanced (59.1%)Imbalance
노래방실수 is highly imbalanced (59.1%)Imbalance
청소년실수 is highly imbalanced (59.1%)Imbalance
총게임기수 is highly imbalanced (59.1%)Imbalance
지역구분명 is highly imbalanced (69.6%)Imbalance
인허가취소일자 has 195 (100.0%) missing valuesMissing
폐업일자 has 124 (63.6%) missing valuesMissing
휴업시작일자 has 195 (100.0%) missing valuesMissing
휴업종료일자 has 195 (100.0%) missing valuesMissing
재개업일자 has 195 (100.0%) missing valuesMissing
전화번호 has 163 (83.6%) missing valuesMissing
소재지면적 has 195 (100.0%) missing valuesMissing
도로명우편번호 has 16 (8.2%) missing valuesMissing
업태구분명 has 195 (100.0%) missing valuesMissing
좌표정보(X) has 5 (2.6%) missing valuesMissing
좌표정보(Y) has 5 (2.6%) missing valuesMissing
제작취급품목내용 has 112 (57.4%) missing valuesMissing
시설면적 has 127 (65.1%) missing valuesMissing
지상층수 has 171 (87.7%) missing valuesMissing
비상계단여부 has 195 (100.0%) missing valuesMissing
비상구여부 has 195 (100.0%) missing valuesMissing
자동환기여부 has 195 (100.0%) missing valuesMissing
청소년실여부 has 195 (100.0%) missing valuesMissing
특수조명여부 has 195 (100.0%) missing valuesMissing
방음시설여부 has 195 (100.0%) missing valuesMissing
비디오재생기명 has 195 (100.0%) missing valuesMissing
조명시설유무 has 195 (100.0%) missing valuesMissing
음향시설여부 has 195 (100.0%) missing valuesMissing
편의시설여부 has 195 (100.0%) missing valuesMissing
소방시설여부 has 195 (100.0%) missing valuesMissing
기존게임업외업종명 has 195 (100.0%) missing valuesMissing
제공게임물명 has 195 (100.0%) missing valuesMissing
공연장형태구분명 has 195 (100.0%) missing valuesMissing
품목명 has 195 (100.0%) missing valuesMissing
최초등록시점 has 195 (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
시설면적 has 8 (4.1%) zerosZeros
지상층수 has 13 (6.7%) zerosZeros

Reproduction

Analysis started2024-05-11 04:00:16.306504
Analysis finished2024-05-11 04:00:18.038644
Duration1.73 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
3230000
195 

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 195
100.0%

Length

2024-05-11T04:00:18.235204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:00:18.671136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 195
100.0%

관리번호
Text

UNIQUE 

Distinct195
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-05-11T04:00:19.167626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3900
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

Unique195 ?
Unique (%)100.0%

Sample

1st rowCDFF3241062003000001
2nd rowCDFF3241062003000003
3rd rowCDFF3241062005000001
4th rowCDFF3241062005000002
5th rowCDFF3241062006000001
ValueCountFrequency (%)
cdff3241062003000001 1
 
0.5%
cdff3241062017000009 1
 
0.5%
cdff3241062020000005 1
 
0.5%
cdff3241062019000012 1
 
0.5%
cdff3241062019000013 1
 
0.5%
cdff3241062019000014 1
 
0.5%
cdff3241062019000015 1
 
0.5%
cdff3241062019000016 1
 
0.5%
cdff3241062020000001 1
 
0.5%
cdff3241062020000002 1
 
0.5%
Other values (185) 185
94.9%
2024-05-11T04:00:20.166618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1343
34.4%
2 516
 
13.2%
1 423
 
10.8%
F 390
 
10.0%
3 244
 
6.3%
4 233
 
6.0%
6 233
 
6.0%
C 195
 
5.0%
D 195
 
5.0%
5 40
 
1.0%
Other values (3) 88
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3120
80.0%
Uppercase Letter 780
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1343
43.0%
2 516
 
16.5%
1 423
 
13.6%
3 244
 
7.8%
4 233
 
7.5%
6 233
 
7.5%
5 40
 
1.3%
9 31
 
1.0%
8 29
 
0.9%
7 28
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
F 390
50.0%
C 195
25.0%
D 195
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3120
80.0%
Latin 780
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1343
43.0%
2 516
 
16.5%
1 423
 
13.6%
3 244
 
7.8%
4 233
 
7.5%
6 233
 
7.5%
5 40
 
1.3%
9 31
 
1.0%
8 29
 
0.9%
7 28
 
0.9%
Latin
ValueCountFrequency (%)
F 390
50.0%
C 195
25.0%
D 195
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3900
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1343
34.4%
2 516
 
13.2%
1 423
 
10.8%
F 390
 
10.0%
3 244
 
6.3%
4 233
 
6.0%
6 233
 
6.0%
C 195
 
5.0%
D 195
 
5.0%
5 40
 
1.0%
Other values (3) 88
 
2.3%

인허가일자
Date

Distinct187
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum1999-10-28 00:00:00
Maximum2024-05-02 00:00:00
2024-05-11T04:00:20.669514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:00:21.576534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
1
124 
3
67 
4
 
2
5
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 124
63.6%
3 67
34.4%
4 2
 
1.0%
5 2
 
1.0%

Length

2024-05-11T04:00:22.201873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:00:22.818082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 124
63.6%
3 67
34.4%
4 2
 
1.0%
5 2
 
1.0%

영업상태명
Categorical

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
영업/정상
124 
폐업
67 
취소/말소/만료/정지/중지
 
2
제외/삭제/전출
 
2

Length

Max length14
Median length5
Mean length4.0923077
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 124
63.6%
폐업 67
34.4%
취소/말소/만료/정지/중지 2
 
1.0%
제외/삭제/전출 2
 
1.0%

Length

2024-05-11T04:00:23.656863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:00:24.730017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 124
63.6%
폐업 67
34.4%
취소/말소/만료/정지/중지 2
 
1.0%
제외/삭제/전출 2
 
1.0%

상세영업상태코드
Categorical

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
13
124 
3
67 
35
 
2
15
 
2

Length

Max length2
Median length2
Mean length1.6564103
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row35
2nd row13
3rd row3
4th row3
5th row13

Common Values

ValueCountFrequency (%)
13 124
63.6%
3 67
34.4%
35 2
 
1.0%
15 2
 
1.0%

Length

2024-05-11T04:00:25.319669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:00:25.888067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 124
63.6%
3 67
34.4%
35 2
 
1.0%
15 2
 
1.0%

상세영업상태명
Categorical

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
영업중
124 
폐업
67 
직권말소
 
2
전출
 
2

Length

Max length4
Median length3
Mean length2.6564103
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 124
63.6%
폐업 67
34.4%
직권말소 2
 
1.0%
전출 2
 
1.0%

Length

2024-05-11T04:00:26.348683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:00:26.832772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 124
63.6%
폐업 67
34.4%
직권말소 2
 
1.0%
전출 2
 
1.0%

폐업일자
Date

MISSING 

Distinct66
Distinct (%)93.0%
Missing124
Missing (%)63.6%
Memory size1.7 KiB
Minimum2009-04-17 00:00:00
Maximum2024-03-26 00:00:00
2024-05-11T04:00:27.185080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:00:27.725214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

전화번호
Text

MISSING 

Distinct31
Distinct (%)96.9%
Missing163
Missing (%)83.6%
Memory size1.7 KiB
2024-05-11T04:00:28.166987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.96875
Min length8

Characters and Unicode

Total characters351
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

Unique30 ?
Unique (%)93.8%

Sample

1st row3401-8291
2nd row02-418-2628
3rd row413-2440
4th row02-515-9172
5th row60858678
ValueCountFrequency (%)
02-560-7900 2
 
6.2%
02-489-2798 1
 
3.1%
02-3432-0605 1
 
3.1%
02-358-1771 1
 
3.1%
02-431-7287 1
 
3.1%
02-511-7201 1
 
3.1%
02-6085-1230 1
 
3.1%
02-6269-0102 1
 
3.1%
0234528975 1
 
3.1%
02-395-5621 1
 
3.1%
Other values (21) 21
65.6%
2024-05-11T04:00:28.996771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 61
17.4%
- 55
15.7%
2 54
15.4%
7 28
8.0%
5 27
7.7%
4 25
7.1%
1 25
7.1%
3 24
 
6.8%
8 19
 
5.4%
9 17
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 296
84.3%
Dash Punctuation 55
 
15.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 61
20.6%
2 54
18.2%
7 28
9.5%
5 27
9.1%
4 25
8.4%
1 25
8.4%
3 24
 
8.1%
8 19
 
6.4%
9 17
 
5.7%
6 16
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 351
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 61
17.4%
- 55
15.7%
2 54
15.4%
7 28
8.0%
5 27
7.7%
4 25
7.1%
1 25
7.1%
3 24
 
6.8%
8 19
 
5.4%
9 17
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 351
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 61
17.4%
- 55
15.7%
2 54
15.4%
7 28
8.0%
5 27
7.7%
4 25
7.1%
1 25
7.1%
3 24
 
6.8%
8 19
 
5.4%
9 17
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

소재지우편번호
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
190 
138855
 
1
138813
 
1
138848
 
1
138818
 
1

Length

Max length6
Median length4
Mean length4.0512821
Min length4

Unique

Unique5 ?
Unique (%)2.6%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row138855

Common Values

ValueCountFrequency (%)
<NA> 190
97.4%
138855 1
 
0.5%
138813 1
 
0.5%
138848 1
 
0.5%
138818 1
 
0.5%
138861 1
 
0.5%

Length

2024-05-11T04:00:29.457683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:00:29.850103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 190
97.4%
138855 1
 
0.5%
138813 1
 
0.5%
138848 1
 
0.5%
138818 1
 
0.5%
138861 1
 
0.5%

지번주소
Text

Distinct133
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-05-11T04:00:30.394009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length33
Mean length22.712821
Min length16

Characters and Unicode

Total characters4429
Distinct characters156
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique108 ?
Unique (%)55.4%

Sample

1st row서울특별시 강동구 성내동 ***-*번지
2nd row서울특별시 송파구 문정동 **-*
3rd row서울특별시 송파구 잠실동 ***-** 지하*층, *층
4th row서울특별시 송파구 가락동 ***번지 베스트빌라 ***호
5th row서울특별시 송파구 오금동 **-*번지
ValueCountFrequency (%)
서울특별시 195
21.7%
송파구 194
21.6%
125
13.9%
가락동 76
 
8.5%
번지 71
 
7.9%
문정동 31
 
3.5%
잠실동 19
 
2.1%
방이동 16
 
1.8%
호 13
 
1.4%
송파동 11
 
1.2%
Other values (92) 146
16.3%
2024-05-11T04:00:31.484414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
800
18.1%
* 716
16.2%
파 219
 
4.9%
동 206
 
4.7%
송 206
 
4.7%
시 198
 
4.5%
울 197
 
4.4%
서 195
 
4.4%
별 195
 
4.4%
특 195
 
4.4%
Other values (146) 1302
29.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2749
62.1%
Space Separator 800
 
18.1%
Other Punctuation 717
 
16.2%
Dash Punctuation 160
 
3.6%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 219
 
8.0%
동 206
 
7.5%
송 206
 
7.5%
시 198
 
7.2%
울 197
 
7.2%
서 195
 
7.1%
별 195
 
7.1%
특 195
 
7.1%
구 195
 
7.1%
지 84
 
3.1%
Other values (141) 859
31.2%
Other Punctuation
ValueCountFrequency (%)
* 716
99.9%
, 1
 
0.1%
Space Separator
ValueCountFrequency (%)
800
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 160
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2749
62.1%
Common 1677
37.9%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 219
 
8.0%
동 206
 
7.5%
송 206
 
7.5%
시 198
 
7.2%
울 197
 
7.2%
서 195
 
7.1%
별 195
 
7.1%
특 195
 
7.1%
구 195
 
7.1%
지 84
 
3.1%
Other values (141) 859
31.2%
Common
ValueCountFrequency (%)
800
47.7%
* 716
42.7%
- 160
 
9.5%
, 1
 
0.1%
Latin
ValueCountFrequency (%)
B 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2749
62.1%
ASCII 1680
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
800
47.6%
* 716
42.6%
- 160
 
9.5%
B 3
 
0.2%
, 1
 
0.1%
Hangul
ValueCountFrequency (%)
파 219
 
8.0%
동 206
 
7.5%
송 206
 
7.5%
시 198
 
7.2%
울 197
 
7.2%
서 195
 
7.1%
별 195
 
7.1%
특 195
 
7.1%
구 195
 
7.1%
지 84
 
3.1%
Other values (141) 859
31.2%

도로명주소
Text

Distinct181
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-05-11T04:00:31.947201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length45
Mean length34.148718
Min length23

Characters and Unicode

Total characters6659
Distinct characters194
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

Unique170 ?
Unique (%)87.2%

Sample

1st row서울특별시 강동구 풍성로 *** (성내동)
2nd row서울특별시 송파구 충민로 **-** (문정동)
3rd row서울특별시 송파구 석촌호수로**길 ** (잠실동,지하*층, *층)
4th row서울특별시 송파구 문정로**길 **, ***호 (가락동, 베스트빌라)
5th row서울특별시 송파구 위례성대로**길 ** (오금동)
ValueCountFrequency (%)
196
15.2%
서울특별시 195
15.1%
송파구 194
15.0%
가락동 74
 
5.7%
호 65
 
5.0%
층 43
 
3.3%
지층 43
 
3.3%
송파대로**길 32
 
2.5%
문정동 31
 
2.4%
중대로*길 21
 
1.6%
Other values (169) 397
30.8%
2024-05-11T04:00:33.086740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1108
16.6%
* 1040
 
15.6%
파 257
 
3.9%
송 255
 
3.8%
, 228
 
3.4%
동 226
 
3.4%
시 199
 
3.0%
로 198
 
3.0%
울 197
 
3.0%
서 195
 
2.9%
Other values (184) 2756
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3837
57.6%
Other Punctuation 1268
 
19.0%
Space Separator 1108
 
16.6%
Open Punctuation 195
 
2.9%
Close Punctuation 195
 
2.9%
Uppercase Letter 29
 
0.4%
Dash Punctuation 27
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 257
 
6.7%
송 255
 
6.6%
동 226
 
5.9%
시 199
 
5.2%
로 198
 
5.2%
울 197
 
5.1%
서 195
 
5.1%
구 195
 
5.1%
별 195
 
5.1%
특 195
 
5.1%
Other values (164) 1725
45.0%
Uppercase Letter
ValueCountFrequency (%)
B 12
41.4%
C 3
 
10.3%
S 2
 
6.9%
G 2
 
6.9%
T 1
 
3.4%
L 1
 
3.4%
V 1
 
3.4%
K 1
 
3.4%
A 1
 
3.4%
P 1
 
3.4%
Other values (4) 4
 
13.8%
Other Punctuation
ValueCountFrequency (%)
* 1040
82.0%
, 228
 
18.0%
Space Separator
ValueCountFrequency (%)
1108
100.0%
Open Punctuation
ValueCountFrequency (%)
( 195
100.0%
Close Punctuation
ValueCountFrequency (%)
) 195
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3837
57.6%
Common 2793
41.9%
Latin 29
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 257
 
6.7%
송 255
 
6.6%
동 226
 
5.9%
시 199
 
5.2%
로 198
 
5.2%
울 197
 
5.1%
서 195
 
5.1%
구 195
 
5.1%
별 195
 
5.1%
특 195
 
5.1%
Other values (164) 1725
45.0%
Latin
ValueCountFrequency (%)
B 12
41.4%
C 3
 
10.3%
S 2
 
6.9%
G 2
 
6.9%
T 1
 
3.4%
L 1
 
3.4%
V 1
 
3.4%
K 1
 
3.4%
A 1
 
3.4%
P 1
 
3.4%
Other values (4) 4
 
13.8%
Common
ValueCountFrequency (%)
1108
39.7%
* 1040
37.2%
, 228
 
8.2%
( 195
 
7.0%
) 195
 
7.0%
- 27
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3837
57.6%
ASCII 2822
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1108
39.3%
* 1040
36.9%
, 228
 
8.1%
( 195
 
6.9%
) 195
 
6.9%
- 27
 
1.0%
B 12
 
0.4%
C 3
 
0.1%
S 2
 
0.1%
G 2
 
0.1%
Other values (10) 10
 
0.4%
Hangul
ValueCountFrequency (%)
파 257
 
6.7%
송 255
 
6.6%
동 226
 
5.9%
시 199
 
5.2%
로 198
 
5.2%
울 197
 
5.1%
서 195
 
5.1%
구 195
 
5.1%
별 195
 
5.1%
특 195
 
5.1%
Other values (164) 1725
45.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct81
Distinct (%)45.3%
Missing16
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean8654.5251
Minimum5501
Maximum138962
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T04:00:33.535751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5501
5-th percentile5510
Q15618.5
median5711
Q35718
95-th percentile5854
Maximum138962
Range133461
Interquartile range (IQR)99.5

Descriptive statistics

Standard deviation19693.5
Coefficient of variation (CV)2.2755148
Kurtosis40.940125
Mean8654.5251
Median Absolute Deviation (MAD)62
Skewness6.5177769
Sum1549160
Variance3.8783393 × 108
MonotonicityNot monotonic
2024-05-11T04:00:34.026346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5712 24
 
12.3%
5711 21
 
10.8%
5713 11
 
5.6%
5548 8
 
4.1%
5510 5
 
2.6%
5854 4
 
2.1%
5719 3
 
1.5%
5855 3
 
1.5%
5561 3
 
1.5%
5809 3
 
1.5%
Other values (71) 94
48.2%
(Missing) 16
 
8.2%
ValueCountFrequency (%)
5501 1
 
0.5%
5502 2
 
1.0%
5507 2
 
1.0%
5510 5
2.6%
5513 1
 
0.5%
5514 2
 
1.0%
5530 1
 
0.5%
5542 1
 
0.5%
5548 8
4.1%
5553 1
 
0.5%
ValueCountFrequency (%)
138962 1
 
0.5%
138812 1
 
0.5%
138220 1
 
0.5%
138200 1
 
0.5%
5855 3
1.5%
5854 4
2.1%
5840 1
 
0.5%
5838 2
1.0%
5837 1
 
0.5%
5836 1
 
0.5%

사업장명
Text

Distinct189
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-05-11T04:00:34.583341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length21
Mean length7.8512821
Min length1

Characters and Unicode

Total characters1531
Distinct characters314
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique183 ?
Unique (%)93.8%

Sample

1st row(주)토마토뮤직
2nd row(사)한국어린이전도협회
3rd rowBLACK
4th row원클릭컴퍼니
5th row한국태권도컨설팅
ValueCountFrequency (%)
주식회사 15
 
5.8%
엔터테인먼트 5
 
1.9%
노래뮤비방 5
 
1.9%
노래영상제작실 4
 
1.6%
영상제작실 4
 
1.6%
샤이닝랩 2
 
0.8%
pang 2
 
0.8%
entertainment 2
 
0.8%
탑 2
 
0.8%
music 2
 
0.8%
Other values (210) 215
83.3%
2024-05-11T04:00:35.692008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
63
 
4.1%
주 50
 
3.3%
) 45
 
2.9%
( 44
 
2.9%
스 37
 
2.4%
래 37
 
2.4%
영 37
 
2.4%
제 36
 
2.4%
이 36
 
2.4%
노 35
 
2.3%
Other values (304) 1111
72.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1166
76.2%
Lowercase Letter 129
 
8.4%
Uppercase Letter 68
 
4.4%
Space Separator 63
 
4.1%
Close Punctuation 45
 
2.9%
Open Punctuation 44
 
2.9%
Decimal Number 11
 
0.7%
Dash Punctuation 4
 
0.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 50
 
4.3%
스 37
 
3.2%
래 37
 
3.2%
영 37
 
3.2%
제 36
 
3.1%
이 36
 
3.1%
노 35
 
3.0%
뮤 35
 
3.0%
상 34
 
2.9%
작 32
 
2.7%
Other values (248) 797
68.4%
Lowercase Letter
ValueCountFrequency (%)
n 15
11.6%
o 13
10.1%
a 12
 
9.3%
e 11
 
8.5%
t 10
 
7.8%
i 9
 
7.0%
d 9
 
7.0%
r 8
 
6.2%
u 7
 
5.4%
l 5
 
3.9%
Other values (14) 30
23.3%
Uppercase Letter
ValueCountFrequency (%)
S 9
13.2%
A 7
10.3%
M 5
 
7.4%
G 5
 
7.4%
O 5
 
7.4%
B 5
 
7.4%
L 4
 
5.9%
E 4
 
5.9%
C 4
 
5.9%
P 3
 
4.4%
Other values (12) 17
25.0%
Decimal Number
ValueCountFrequency (%)
1 4
36.4%
9 3
27.3%
0 2
18.2%
5 1
 
9.1%
2 1
 
9.1%
Space Separator
ValueCountFrequency (%)
63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1166
76.2%
Latin 197
 
12.9%
Common 168
 
11.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 50
 
4.3%
스 37
 
3.2%
래 37
 
3.2%
영 37
 
3.2%
제 36
 
3.1%
이 36
 
3.1%
노 35
 
3.0%
뮤 35
 
3.0%
상 34
 
2.9%
작 32
 
2.7%
Other values (248) 797
68.4%
Latin
ValueCountFrequency (%)
n 15
 
7.6%
o 13
 
6.6%
a 12
 
6.1%
e 11
 
5.6%
t 10
 
5.1%
S 9
 
4.6%
i 9
 
4.6%
d 9
 
4.6%
r 8
 
4.1%
u 7
 
3.6%
Other values (36) 94
47.7%
Common
ValueCountFrequency (%)
63
37.5%
) 45
26.8%
( 44
26.2%
1 4
 
2.4%
- 4
 
2.4%
9 3
 
1.8%
0 2
 
1.2%
. 1
 
0.6%
5 1
 
0.6%
2 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1166
76.2%
ASCII 365
 
23.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
63
17.3%
) 45
 
12.3%
( 44
 
12.1%
n 15
 
4.1%
o 13
 
3.6%
a 12
 
3.3%
e 11
 
3.0%
t 10
 
2.7%
S 9
 
2.5%
i 9
 
2.5%
Other values (46) 134
36.7%
Hangul
ValueCountFrequency (%)
주 50
 
4.3%
스 37
 
3.2%
래 37
 
3.2%
영 37
 
3.2%
제 36
 
3.1%
이 36
 
3.1%
노 35
 
3.0%
뮤 35
 
3.0%
상 34
 
2.9%
작 32
 
2.7%
Other values (248) 797
68.4%

최종수정일자
Date

UNIQUE 

Distinct195
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2006-02-06 13:48:52
Maximum2024-05-08 17:24:36
2024-05-11T04:00:36.206979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:00:36.632666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
I
98 
U
97 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 98
50.3%
U 97
49.7%

Length

2024-05-11T04:00:37.032428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:00:37.386913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 98
50.3%
u 97
49.7%

데이터갱신일자
Date

Distinct121
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:04:00
2024-05-11T04:00:37.791734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:00:38.326134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct161
Distinct (%)84.7%
Missing5
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean210113.47
Minimum206919.48
Maximum213374.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T04:00:38.811196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206919.48
5-th percentile207285.96
Q1209546.64
median210446.49
Q3210705.1
95-th percentile211774.48
Maximum213374.48
Range6455.0047
Interquartile range (IQR)1158.4647

Descriptive statistics

Standard deviation1281.3527
Coefficient of variation (CV)0.0060983843
Kurtosis0.75075321
Mean210113.47
Median Absolute Deviation (MAD)488.78574
Skewness-0.78975156
Sum39921558
Variance1641864.6
MonotonicityNot monotonic
2024-05-11T04:00:39.259894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210446.492080187 8
 
4.1%
210519.610976691 4
 
2.1%
210433.368311383 3
 
1.5%
210125.834884826 2
 
1.0%
209536.518980734 2
 
1.0%
210567.290238728 2
 
1.0%
210535.089616 2
 
1.0%
211482.512397194 2
 
1.0%
210491.688890281 2
 
1.0%
209314.259995755 2
 
1.0%
Other values (151) 161
82.6%
(Missing) 5
 
2.6%
ValueCountFrequency (%)
206919.478094926 1
0.5%
207008.325963842 1
0.5%
207049.680448675 1
0.5%
207053.685346297 1
0.5%
207056.411266825 1
0.5%
207076.507261356 1
0.5%
207081.468563852 1
0.5%
207111.481365768 1
0.5%
207125.178244289 1
0.5%
207280.548175724 1
0.5%
ValueCountFrequency (%)
213374.482750903 1
0.5%
212978.232801771 1
0.5%
212811.975075042 1
0.5%
212778.134295517 2
1.0%
212590.465473593 1
0.5%
211908.776682936 1
0.5%
211834.106255522 1
0.5%
211808.976265118 1
0.5%
211806.721282913 1
0.5%
211735.079601952 1
0.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct161
Distinct (%)84.7%
Missing5
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean444260.59
Minimum441725.29
Maximum448603.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T04:00:39.700708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441725.29
5-th percentile442367
Q1443636.8
median443880.56
Q3445070.64
95-th percentile446067.54
Maximum448603.57
Range6878.2768
Interquartile range (IQR)1433.8343

Descriptive statistics

Standard deviation1216.2606
Coefficient of variation (CV)0.0027377189
Kurtosis1.5499956
Mean444260.59
Median Absolute Deviation (MAD)709.49491
Skewness0.74848437
Sum84409513
Variance1479290
MonotonicityNot monotonic
2024-05-11T04:00:40.155334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
443650.986621016 8
 
4.1%
443699.494391661 4
 
2.1%
443767.473626086 3
 
1.5%
445070.636365368 2
 
1.0%
445605.311832064 2
 
1.0%
443723.614505171 2
 
1.0%
442137.578674 2
 
1.0%
442473.138814874 2
 
1.0%
443508.221246366 2
 
1.0%
446483.316079239 2
 
1.0%
Other values (151) 161
82.6%
(Missing) 5
 
2.6%
ValueCountFrequency (%)
441725.293491662 1
0.5%
441996.566662239 1
0.5%
442026.988783 1
0.5%
442053.227933005 1
0.5%
442137.578674 2
1.0%
442243.036327777 1
0.5%
442291.672315247 1
0.5%
442338.115571068 1
0.5%
442358.81106471 1
0.5%
442377.0 1
0.5%
ValueCountFrequency (%)
448603.570331518 1
0.5%
448601.324644324 2
1.0%
447566.822344202 1
0.5%
447454.571282021 1
0.5%
446483.316079239 2
1.0%
446256.122690837 1
0.5%
446201.867636819 1
0.5%
446087.944327019 1
0.5%
446042.592367722 1
0.5%
445977.157638051 1
0.5%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
음반.음악영상물제작업
111 
<NA>
84 

Length

Max length11
Median length11
Mean length7.9846154
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row음반.음악영상물제작업
2nd row음반.음악영상물제작업
3rd row음반.음악영상물제작업
4th row음반.음악영상물제작업
5th row음반.음악영상물제작업

Common Values

ValueCountFrequency (%)
음반.음악영상물제작업 111
56.9%
<NA> 84
43.1%

Length

2024-05-11T04:00:40.598958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:00:40.913566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물제작업 111
56.9%
na 84
43.1%

문화사업자구분명
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
유통관련업
111 
<NA>
84 

Length

Max length5
Median length5
Mean length4.5692308
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 111
56.9%
<NA> 84
43.1%

Length

2024-05-11T04:00:41.668301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:00:41.972328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 111
56.9%
na 84
43.1%

총층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
175 
0
 
14
5
 
2
6
 
2
4
 
2

Length

Max length4
Median length4
Mean length3.6923077
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> 175
89.7%
0 14
 
7.2%
5 2
 
1.0%
6 2
 
1.0%
4 2
 
1.0%

Length

2024-05-11T04:00:42.383711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:00:42.809136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 175
89.7%
0 14
 
7.2%
5 2
 
1.0%
6 2
 
1.0%
4 2
 
1.0%

주변환경명
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
180 
유흥업소밀집지역
 
8
주택가주변
 
4
기타
 
3

Length

Max length8
Median length4
Mean length4.1538462
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 180
92.3%
유흥업소밀집지역 8
 
4.1%
주택가주변 4
 
2.1%
기타 3
 
1.5%

Length

2024-05-11T04:00:43.266590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:00:43.679938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 180
92.3%
유흥업소밀집지역 8
 
4.1%
주택가주변 4
 
2.1%
기타 3
 
1.5%

제작취급품목내용
Text

MISSING 

Distinct49
Distinct (%)59.0%
Missing112
Missing (%)57.4%
Memory size1.7 KiB
2024-05-11T04:00:44.187752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length17
Mean length6.3493976
Min length2

Characters and Unicode

Total characters527
Distinct characters61
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

Unique39 ?
Unique (%)47.0%

Sample

1st row음반제작
2nd row음반
3rd row음반제작
4th row음반제작
5th row음악CD
ValueCountFrequency (%)
음반 26
21.7%
영상제작 9
 
7.5%
뮤직비디오 6
 
5.0%
영상물 6
 
5.0%
음반제작 5
 
4.2%
영상 4
 
3.3%
제작 4
 
3.3%
음원 4
 
3.3%
cd 3
 
2.5%
음악영상물 3
 
2.5%
Other values (45) 50
41.7%
2024-05-11T04:00:45.099607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
음 75
14.2%
영 49
 
9.3%
상 48
 
9.1%
반 44
 
8.3%
37
 
7.0%
, 29
 
5.5%
작 27
 
5.1%
제 25
 
4.7%
악 23
 
4.4%
물 22
 
4.2%
Other values (51) 148
28.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 435
82.5%
Space Separator 37
 
7.0%
Other Punctuation 36
 
6.8%
Uppercase Letter 17
 
3.2%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 75
17.2%
영 49
11.3%
상 48
11.0%
반 44
10.1%
작 27
 
6.2%
제 25
 
5.7%
악 23
 
5.3%
물 22
 
5.1%
디 12
 
2.8%
오 11
 
2.5%
Other values (40) 99
22.8%
Uppercase Letter
ValueCountFrequency (%)
D 7
41.2%
C 5
29.4%
S 3
17.6%
B 1
 
5.9%
U 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 29
80.6%
. 4
 
11.1%
? 3
 
8.3%
Space Separator
ValueCountFrequency (%)
37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 435
82.5%
Common 75
 
14.2%
Latin 17
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 75
17.2%
영 49
11.3%
상 48
11.0%
반 44
10.1%
작 27
 
6.2%
제 25
 
5.7%
악 23
 
5.3%
물 22
 
5.1%
디 12
 
2.8%
오 11
 
2.5%
Other values (40) 99
22.8%
Common
ValueCountFrequency (%)
37
49.3%
, 29
38.7%
. 4
 
5.3%
? 3
 
4.0%
) 1
 
1.3%
( 1
 
1.3%
Latin
ValueCountFrequency (%)
D 7
41.2%
C 5
29.4%
S 3
17.6%
B 1
 
5.9%
U 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 435
82.5%
ASCII 92
 
17.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
음 75
17.2%
영 49
11.3%
상 48
11.0%
반 44
10.1%
작 27
 
6.2%
제 25
 
5.7%
악 23
 
5.3%
물 22
 
5.1%
디 12
 
2.8%
오 11
 
2.5%
Other values (40) 99
22.8%
ASCII
ValueCountFrequency (%)
37
40.2%
, 29
31.5%
D 7
 
7.6%
C 5
 
5.4%
. 4
 
4.3%
? 3
 
3.3%
S 3
 
3.3%
B 1
 
1.1%
U 1
 
1.1%
) 1
 
1.1%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct59
Distinct (%)86.8%
Missing127
Missing (%)65.1%
Infinite0
Infinite (%)0.0%
Mean130.17794
Minimum0
Maximum1064.99
Zeros8
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T04:00:45.544344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q131.08
median101.145
Q3150.2025
95-th percentile344.598
Maximum1064.99
Range1064.99
Interquartile range (IQR)119.1225

Descriptive statistics

Standard deviation181.43693
Coefficient of variation (CV)1.3937609
Kurtosis16.463113
Mean130.17794
Median Absolute Deviation (MAD)62.545
Skewness3.7490831
Sum8852.1
Variance32919.358
MonotonicityNot monotonic
2024-05-11T04:00:46.007710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 8
 
4.1%
84.9 2
 
1.0%
165.0 2
 
1.0%
97.29 1
 
0.5%
120.26 1
 
0.5%
36.4 1
 
0.5%
127.23 1
 
0.5%
158.4 1
 
0.5%
182.48 1
 
0.5%
145.0 1
 
0.5%
Other values (49) 49
 
25.1%
(Missing) 127
65.1%
ValueCountFrequency (%)
0.0 8
4.1%
2.0 1
 
0.5%
3.3 1
 
0.5%
9.9 1
 
0.5%
13.38 1
 
0.5%
16.5 1
 
0.5%
22.68 1
 
0.5%
22.88 1
 
0.5%
25.75 1
 
0.5%
30.0 1
 
0.5%
ValueCountFrequency (%)
1064.99 1
0.5%
975.21 1
0.5%
500.0 1
0.5%
347.72 1
0.5%
338.8 1
0.5%
250.09 1
0.5%
245.0 1
0.5%
198.23 1
0.5%
184.71 1
0.5%
182.57 1
0.5%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)25.0%
Missing171
Missing (%)87.7%
Infinite0
Infinite (%)0.0%
Mean1.5833333
Minimum0
Maximum6
Zeros13
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T04:00:46.369319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile5
Maximum6
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.9981876
Coefficient of variation (CV)1.2620132
Kurtosis-0.56200523
Mean1.5833333
Median Absolute Deviation (MAD)0
Skewness0.88299784
Sum38
Variance3.9927536
MonotonicityNot monotonic
2024-05-11T04:00:46.727283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 13
 
6.7%
2 4
 
2.1%
4 2
 
1.0%
5 2
 
1.0%
3 2
 
1.0%
6 1
 
0.5%
(Missing) 171
87.7%
ValueCountFrequency (%)
0 13
6.7%
2 4
 
2.1%
3 2
 
1.0%
4 2
 
1.0%
5 2
 
1.0%
6 1
 
0.5%
ValueCountFrequency (%)
6 1
 
0.5%
5 2
 
1.0%
4 2
 
1.0%
3 2
 
1.0%
2 4
 
2.1%
0 13
6.7%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
172 
1
 
12
0
 
11

Length

Max length4
Median length4
Mean length3.6461538
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> 172
88.2%
1 12
 
6.2%
0 11
 
5.6%

Length

2024-05-11T04:00:47.154262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:00:47.488948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 172
88.2%
1 12
 
6.2%
0 11
 
5.6%

건물용도명
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
160 
근린생활시설
26 
사무실
 
3
아파트
 
3
다중주택(공동주택적용)
 
2

Length

Max length12
Median length4
Mean length4.3179487
Min length3

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 160
82.1%
근린생활시설 26
 
13.3%
사무실 3
 
1.5%
아파트 3
 
1.5%
다중주택(공동주택적용) 2
 
1.0%
단독주택 1
 
0.5%

Length

2024-05-11T04:00:47.937345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:00:48.363482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 160
82.1%
근린생활시설 26
 
13.3%
사무실 3
 
1.5%
아파트 3
 
1.5%
다중주택(공동주택적용 2
 
1.0%
단독주택 1
 
0.5%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
179 
0
 
16

Length

Max length4
Median length4
Mean length3.7538462
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> 179
91.8%
0 16
 
8.2%

Length

2024-05-11T04:00:48.815501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:00:49.164760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 179
91.8%
0 16
 
8.2%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
179 
0
 
16

Length

Max length4
Median length4
Mean length3.7538462
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> 179
91.8%
0 16
 
8.2%

Length

2024-05-11T04:00:49.537592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:00:49.922381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 179
91.8%
0 16
 
8.2%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
179 
0
 
16

Length

Max length4
Median length4
Mean length3.7538462
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> 179
91.8%
0 16
 
8.2%

Length

2024-05-11T04:00:50.304454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:00:50.662667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 179
91.8%
0 16
 
8.2%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
179 
0
 
16

Length

Max length4
Median length4
Mean length3.7538462
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> 179
91.8%
0 16
 
8.2%

Length

2024-05-11T04:00:51.038598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:00:51.496229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 179
91.8%
0 16
 
8.2%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
179 
0
 
16

Length

Max length4
Median length4
Mean length3.7538462
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> 179
91.8%
0 16
 
8.2%

Length

2024-05-11T04:00:51.955478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:00:52.434214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 179
91.8%
0 16
 
8.2%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing195
Missing (%)100.0%
Memory size1.8 KiB

지역구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
172 
주거지역
 
11
일반주거지역
 
9
일반상업지역
 
2
준주거지역
 
1

Length

Max length6
Median length4
Mean length4.1179487
Min length4

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 172
88.2%
주거지역 11
 
5.6%
일반주거지역 9
 
4.6%
일반상업지역 2
 
1.0%
준주거지역 1
 
0.5%

Length

2024-05-11T04:00:52.983103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:00:53.417686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 172
88.2%
주거지역 11
 
5.6%
일반주거지역 9
 
4.6%
일반상업지역 2
 
1.0%
준주거지역 1
 
0.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03230000CDFF324106200300000120030620<NA>4취소/말소/만료/정지/중지35직권말소20130108<NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 ***-*번지서울특별시 강동구 풍성로 *** (성내동)<NA>(주)토마토뮤직2013-01-08 13:58:09I2018-08-31 23:59:59.0<NA>211808.976265447454.571282음반.음악영상물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13230000CDFF324106200300000320031211<NA>1영업/정상13영업중<NA><NA><NA><NA>3401-8291<NA><NA>서울특별시 송파구 문정동 **-*서울특별시 송파구 충민로 **-** (문정동)5817(사)한국어린이전도협회2021-03-10 09:53:32U2021-03-12 02:40:00.0<NA>211080.396769441996.566662음반.음악영상물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23230000CDFF324106200500000120050831<NA>3폐업3폐업20210120<NA><NA><NA>02-418-2628<NA><NA>서울특별시 송파구 잠실동 ***-** 지하*층, *층서울특별시 송파구 석촌호수로**길 ** (잠실동,지하*층, *층)<NA>BLACK2021-01-21 13:17:41U2021-01-23 02:40:00.0<NA>207049.680449445111.339328음반.음악영상물제작업유통관련업<NA><NA>음반제작<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33230000CDFF324106200500000220051018<NA>3폐업3폐업20130213<NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 ***번지 베스트빌라 ***호서울특별시 송파구 문정로**길 **, ***호 (가락동, 베스트빌라)138812원클릭컴퍼니2013-02-13 15:37:19I2018-08-31 23:59:59.0<NA>211834.106256443630.450127음반.음악영상물제작업유통관련업<NA><NA>음반<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43230000CDFF324106200600000120060206<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138855서울특별시 송파구 오금동 **-*번지서울특별시 송파구 위례성대로**길 ** (오금동)<NA>한국태권도컨설팅2006-02-06 13:48:52I2018-08-31 23:59:59.0<NA>211463.435445177.12음반.음악영상물제작업유통관련업<NA><NA><NA><NA><NA><NA>사무실<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>주거지역
53230000CDFF324106200600000220060719<NA>3폐업3폐업20101222<NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 *-*번지서울특별시 송파구 송이로 *** (문정동)<NA>(주)이마이스2011-01-06 10:11:12I2018-08-31 23:59:59.0<NA>211249.190303443098.142261음반.음악영상물제작업유통관련업<NA><NA>음반제작<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63230000CDFF324106200600000320060725<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138813서울특별시 송파구 거여동 **-*번지서울특별시 송파구 오금로**길 ** (거여동)<NA>(주)토마토뮤직2006-07-25 17:41:34I2018-08-31 23:59:59.0<NA>212590.465474443660.351973음반.음악영상물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73230000CDFF324106200600000420060929<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138848서울특별시 송파구 송파동 **-*번지서울특별시 송파구 백제고분로**길 **-* (송파동)<NA>(주)제이케이엔터테인먼트2007-02-05 15:36:49I2018-08-31 23:59:59.0<NA>209352.537545445088.974934음반.음악영상물제작업유통관련업<NA><NA>음반제작<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83230000CDFF324106200700000120071017<NA>3폐업3폐업20130103<NA><NA><NA><NA><NA>138818서울특별시 송파구 마천동 ***번지 마천동우방아파트 ***동 ***호서울특별시 송파구 성내천로 ***, ***동 ***호 (마천동,마천동우방아파트)<NA>답게 엔터테인먼트2013-01-03 17:09:41I2018-08-31 23:59:59.0<NA>213374.482751444245.235268음반.음악영상물제작업유통관련업<NA><NA>음악CD<NA><NA><NA>아파트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>주거지역
93230000CDFF324106200800000220080701<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138861서울특별시 송파구 잠실동 ***번지 효성올림픽카운터 ***서울특별시 송파구 백제고분로 ** (잠실동,효성올림픽카운터 ***)<NA>비트레인 엔터테인먼트2008-07-01 12:50:14I2018-08-31 23:59:59.0<NA>206919.478095445370.201675음반.음악영상물제작업유통관련업<NA><NA>음반<NA><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
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
1853230000CDFF32410620230000092023-08-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 석촌동 ***-* 안평빌딩서울특별시 송파구 백제고분로**길 **, 안평빌딩 ***호 (석촌동)5610아트빛보이스 잠실2024-05-08 17:24:36U2023-12-04 23:00:00.0<NA>209096.653361444937.129075<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1863230000CDFF32410620230000102015-04-22<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2193-5700<NA><NA>서울특별시 송파구 문정동 **-*서울특별시 송파구 문정로*길 ** (문정동)5807(주)곰앤컴퍼니2023-10-18 18:28:42I2022-10-30 22:00:00.0<NA>211072.182123442528.193183<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1873230000CDFF32410620230000112023-10-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 방이동 **-*서울특별시 송파구 오금로**길 *, *층 (방이동)5548주식회사 뮤팟2023-10-23 18:14:39I2022-10-30 22:05:00.0<NA>209513.225275445683.506755<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1883230000CDFF32410620230000122023-10-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 방이동 ***-** 아쿠아드카사스서울특별시 송파구 오금로**길 **-*, ***호 (방이동, 아쿠아드카사스)5645그라겜 연구소2023-10-25 13:44:31I2022-10-30 22:07:00.0<NA>210675.453249445018.629081<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1893230000CDFF32410620230000132023-11-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 거여동 ***-*서울특별시 송파구 양산로**길 **, 지층 (거여동)5773쏠레 노래뮤비방2023-11-01 17:09:18I2022-11-01 00:03:00.0<NA>212778.134296443349.14722<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1903230000CDFF32410620230000142023-11-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 잠실동 ***서울특별시 송파구 백제고분로*길 **, 지층 (잠실동)5561팅가 노래뮤비방2023-11-24 09:08:15I2022-10-31 22:06:00.0<NA>207076.507261445361.977696<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1913230000CDFF32410620230000152023-12-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 **-* 남양빌딩서울특별시 송파구 양재대로**길 **, 남양빌딩 지층 (가락동)5712타임 노래뮤비방2023-12-08 12:54:32I2022-11-01 23:00:00.0<NA>210580.983253443741.895937<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1923230000CDFF32410620240000012024-02-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 풍납동 *** 씨티극동아파트서울특별시 송파구 한가람로 ***, ***동 ****호 (풍납동, 씨티극동아파트)5514주식회사 데이터가치연구소2024-02-21 16:30:50I2023-12-01 22:03:00.0<NA>210377.46167448601.324644<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1933230000CDFF32410620240000022024-02-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 장지동 *** 한림연예예술고교서울특별시 송파구 충민로 ***, 한림연예예술고교 *층 ***호 (장지동)5792주식회사 한림플래닛2024-02-22 18:01:05I2023-12-01 22:04:00.0<NA>211735.079602442532.841715<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1943230000CDFF32410620240000032024-05-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 ***-* 문정대명벨리온서울특별시 송파구 법원로 ***, 문정대명벨리온 ***호 (문정동)5836주식회사 토군2024-05-02 17:42:00I2023-12-05 00:04:00.0<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>