Overview

Dataset statistics

Number of variables56
Number of observations231
Missing cells6073
Missing cells (%)46.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory110.4 KiB
Average record size in memory489.6 B

Variable types

Categorical18
Text6
DateTime4
Unsupported24
Numeric4

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
Author영등포구
URLhttps://data.seoul.go.kr/dataList/OA-17210/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (94.9%)Imbalance
휴업종료일자 is highly imbalanced (94.9%)Imbalance
인허가취소일자 has 231 (100.0%) missing valuesMissing
폐업일자 has 170 (73.6%) missing valuesMissing
재개업일자 has 231 (100.0%) missing valuesMissing
전화번호 has 164 (71.0%) missing valuesMissing
소재지면적 has 231 (100.0%) missing valuesMissing
소재지우편번호 has 231 (100.0%) missing valuesMissing
업태구분명 has 231 (100.0%) missing valuesMissing
주변환경명 has 231 (100.0%) missing valuesMissing
제작취급품목내용 has 97 (42.0%) missing valuesMissing
시설면적 has 97 (42.0%) missing valuesMissing
건물용도명 has 231 (100.0%) missing valuesMissing
비상계단여부 has 231 (100.0%) missing valuesMissing
비상구여부 has 231 (100.0%) missing valuesMissing
자동환기여부 has 231 (100.0%) missing valuesMissing
청소년실여부 has 231 (100.0%) missing valuesMissing
특수조명여부 has 231 (100.0%) missing valuesMissing
방음시설여부 has 231 (100.0%) missing valuesMissing
비디오재생기명 has 231 (100.0%) missing valuesMissing
조명시설유무 has 231 (100.0%) missing valuesMissing
음향시설여부 has 231 (100.0%) missing valuesMissing
편의시설여부 has 231 (100.0%) missing valuesMissing
소방시설여부 has 231 (100.0%) missing valuesMissing
기존게임업외업종명 has 231 (100.0%) missing valuesMissing
제공게임물명 has 231 (100.0%) missing valuesMissing
공연장형태구분명 has 231 (100.0%) missing valuesMissing
품목명 has 231 (100.0%) missing valuesMissing
최초등록시점 has 231 (100.0%) missing valuesMissing
지역구분명 has 231 (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
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
소재지우편번호 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
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 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
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 has 109 (47.2%) zerosZeros

Reproduction

Analysis started2024-04-29 19:13:01.805855
Analysis finished2024-04-29 19:13:02.796211
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
3180000
231 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3180000
2nd row3180000
3rd row3180000
4th row3180000
5th row3180000

Common Values

ValueCountFrequency (%)
3180000 231
100.0%

Length

2024-04-30T04:13:02.858521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:13:02.940880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3180000 231
100.0%

관리번호
Text

UNIQUE 

Distinct231
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-04-30T04:13:03.089966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters4620
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

Unique231 ?
Unique (%)100.0%

Sample

1st rowCDFF3241092014000001
2nd rowCDFF3241092015000001
3rd rowCDFF3241092015000003
4th rowCDFF3241092015000004
5th rowCDFF3241092015000006
ValueCountFrequency (%)
cdff3241092014000001 1
 
0.4%
cdff3241092022000012 1
 
0.4%
cdff3241092021000014 1
 
0.4%
cdff3241092021000015 1
 
0.4%
cdff3241092021000016 1
 
0.4%
cdff3241092021000017 1
 
0.4%
cdff3241092021000018 1
 
0.4%
cdff3241092021000019 1
 
0.4%
cdff3241092021000020 1
 
0.4%
cdff3241092021000021 1
 
0.4%
Other values (221) 221
95.7%
2024-04-30T04:13:03.357332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1507
32.6%
2 690
14.9%
1 469
 
10.2%
F 462
 
10.0%
3 291
 
6.3%
9 278
 
6.0%
4 268
 
5.8%
C 231
 
5.0%
D 231
 
5.0%
5 76
 
1.6%
Other values (3) 117
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3696
80.0%
Uppercase Letter 924
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1507
40.8%
2 690
18.7%
1 469
 
12.7%
3 291
 
7.9%
9 278
 
7.5%
4 268
 
7.3%
5 76
 
2.1%
7 40
 
1.1%
6 39
 
1.1%
8 38
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
F 462
50.0%
C 231
25.0%
D 231
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3696
80.0%
Latin 924
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1507
40.8%
2 690
18.7%
1 469
 
12.7%
3 291
 
7.9%
9 278
 
7.5%
4 268
 
7.3%
5 76
 
2.1%
7 40
 
1.1%
6 39
 
1.1%
8 38
 
1.0%
Latin
ValueCountFrequency (%)
F 462
50.0%
C 231
25.0%
D 231
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4620
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1507
32.6%
2 690
14.9%
1 469
 
10.2%
F 462
 
10.0%
3 291
 
6.3%
9 278
 
6.0%
4 268
 
5.8%
C 231
 
5.0%
D 231
 
5.0%
5 76
 
1.6%
Other values (3) 117
 
2.5%

인허가일자
Date

Distinct187
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2014-11-27 00:00:00
Maximum2024-04-12 00:00:00
2024-04-30T04:13:03.472256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:13:03.573715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing231
Missing (%)100.0%
Memory size2.2 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
1
168 
3
31 
5
30 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 168
72.7%
3 31
 
13.4%
5 30
 
13.0%
2 2
 
0.9%

Length

2024-04-30T04:13:03.678425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:13:03.750834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 168
72.7%
3 31
 
13.4%
5 30
 
13.0%
2 2
 
0.9%

영업상태명
Categorical

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
영업/정상
168 
폐업
31 
제외/삭제/전출
30 
휴업
 
2

Length

Max length8
Median length5
Mean length4.961039
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 168
72.7%
폐업 31
 
13.4%
제외/삭제/전출 30
 
13.0%
휴업 2
 
0.9%

Length

2024-04-30T04:13:03.846056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:13:03.931633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 168
72.7%
폐업 31
 
13.4%
제외/삭제/전출 30
 
13.0%
휴업 2
 
0.9%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
13
168 
3
31 
15
30 
2
 
2

Length

Max length2
Median length2
Mean length1.8571429
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 168
72.7%
3 31
 
13.4%
15 30
 
13.0%
2 2
 
0.9%

Length

2024-04-30T04:13:04.019692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:13:04.100830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 168
72.7%
3 31
 
13.4%
15 30
 
13.0%
2 2
 
0.9%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
영업중
168 
폐업
31 
전출
30 
휴업
 
2

Length

Max length3
Median length3
Mean length2.7272727
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 168
72.7%
폐업 31
 
13.4%
전출 30
 
13.0%
휴업 2
 
0.9%

Length

2024-04-30T04:13:04.194015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:13:04.277807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 168
72.7%
폐업 31
 
13.4%
전출 30
 
13.0%
휴업 2
 
0.9%

폐업일자
Date

MISSING 

Distinct57
Distinct (%)93.4%
Missing170
Missing (%)73.6%
Memory size1.9 KiB
Minimum2016-01-14 00:00:00
Maximum2024-04-08 00:00:00
2024-04-30T04:13:04.387739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:13:04.542553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
229 
20180101
 
1
20170804
 
1

Length

Max length8
Median length4
Mean length4.034632
Min length4

Unique

Unique2 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 229
99.1%
20180101 1
 
0.4%
20170804 1
 
0.4%

Length

2024-04-30T04:13:04.662929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:13:04.748260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 229
99.1%
20180101 1
 
0.4%
20170804 1
 
0.4%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
229 
20181231
 
1
20180804
 
1

Length

Max length8
Median length4
Mean length4.034632
Min length4

Unique

Unique2 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 229
99.1%
20181231 1
 
0.4%
20180804 1
 
0.4%

Length

2024-04-30T04:13:04.841305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:13:04.933736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 229
99.1%
20181231 1
 
0.4%
20180804 1
 
0.4%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing231
Missing (%)100.0%
Memory size2.2 KiB

전화번호
Text

MISSING 

Distinct66
Distinct (%)98.5%
Missing164
Missing (%)71.0%
Memory size1.9 KiB
2024-04-30T04:13:05.118793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.134328
Min length8

Characters and Unicode

Total characters746
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)97.0%

Sample

1st row0220684431
2nd row027615148
3rd row02-6925-5008
4th row02-1899-7090
5th row02-2675-1006
ValueCountFrequency (%)
02-6952-6202 2
 
3.0%
02-782-6059 1
 
1.5%
070-8833-1910 1
 
1.5%
0220684431 1
 
1.5%
02-6332-0401 1
 
1.5%
02-576-3467 1
 
1.5%
02-6397-0358 1
 
1.5%
070-4060-8799 1
 
1.5%
02-6344-8899 1
 
1.5%
02-564-8588 1
 
1.5%
Other values (56) 56
83.6%
2024-04-30T04:13:05.415858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 135
18.1%
2 116
15.5%
- 104
13.9%
6 65
8.7%
7 61
8.2%
4 47
 
6.3%
8 45
 
6.0%
9 44
 
5.9%
3 44
 
5.9%
1 43
 
5.8%
Other values (2) 42
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 640
85.8%
Dash Punctuation 104
 
13.9%
Close Punctuation 2
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 135
21.1%
2 116
18.1%
6 65
10.2%
7 61
9.5%
4 47
 
7.3%
8 45
 
7.0%
9 44
 
6.9%
3 44
 
6.9%
1 43
 
6.7%
5 40
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 104
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 746
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 135
18.1%
2 116
15.5%
- 104
13.9%
6 65
8.7%
7 61
8.2%
4 47
 
6.3%
8 45
 
6.0%
9 44
 
5.9%
3 44
 
5.9%
1 43
 
5.8%
Other values (2) 42
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 746
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 135
18.1%
2 116
15.5%
- 104
13.9%
6 65
8.7%
7 61
8.2%
4 47
 
6.3%
8 45
 
6.0%
9 44
 
5.9%
3 44
 
5.9%
1 43
 
5.8%
Other values (2) 42
 
5.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing231
Missing (%)100.0%
Memory size2.2 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing231
Missing (%)100.0%
Memory size2.2 KiB

지번주소
Text

Distinct167
Distinct (%)72.6%
Missing1
Missing (%)0.4%
Memory size1.9 KiB
2024-04-30T04:13:05.644379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length36
Mean length26.965217
Min length18

Characters and Unicode

Total characters6202
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

Unique133 ?
Unique (%)57.8%

Sample

1st row서울특별시 영등포구 양평동*가 **-*번지
2nd row서울특별시 영등포구 여의도동 **-**번지
3rd row서울특별시 마포구 성산동 ***-*번지
4th row서울특별시 영등포구 여의도동 **-**번지
5th row서울특별시 영등포구 양평동*가 **-*번지
ValueCountFrequency (%)
서울특별시 230
20.4%
영등포구 229
20.3%
136
12.0%
여의도동 99
8.8%
번지 88
 
7.8%
양평동*가 43
 
3.8%
호 31
 
2.7%
당산동*가 30
 
2.7%
영등포동*가 18
 
1.6%
문래동*가 11
 
1.0%
Other values (130) 214
19.0%
2024-04-30T04:13:05.985261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1008
16.3%
* 961
15.5%
영 253
 
4.1%
포 252
 
4.1%
등 251
 
4.0%
동 247
 
4.0%
서 239
 
3.9%
시 235
 
3.8%
구 233
 
3.8%
울 233
 
3.8%
Other values (179) 2290
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3999
64.5%
Space Separator 1008
 
16.3%
Other Punctuation 961
 
15.5%
Dash Punctuation 179
 
2.9%
Uppercase Letter 28
 
0.5%
Decimal Number 20
 
0.3%
Lowercase Letter 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 253
 
6.3%
포 252
 
6.3%
등 251
 
6.3%
동 247
 
6.2%
서 239
 
6.0%
시 235
 
5.9%
구 233
 
5.8%
울 233
 
5.8%
별 231
 
5.8%
특 230
 
5.8%
Other values (153) 1595
39.9%
Uppercase Letter
ValueCountFrequency (%)
E 6
21.4%
S 4
14.3%
K 3
10.7%
N 3
10.7%
U 3
10.7%
R 3
10.7%
T 3
10.7%
A 1
 
3.6%
B 1
 
3.6%
V 1
 
3.6%
Decimal Number
ValueCountFrequency (%)
2 4
20.0%
5 4
20.0%
3 3
15.0%
8 3
15.0%
6 2
10.0%
9 2
10.0%
4 1
 
5.0%
1 1
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
28.6%
n 2
28.6%
c 1
14.3%
t 1
14.3%
r 1
14.3%
Space Separator
ValueCountFrequency (%)
1008
100.0%
Other Punctuation
ValueCountFrequency (%)
* 961
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 179
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3999
64.5%
Common 2168
35.0%
Latin 35
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 253
 
6.3%
포 252
 
6.3%
등 251
 
6.3%
동 247
 
6.2%
서 239
 
6.0%
시 235
 
5.9%
구 233
 
5.8%
울 233
 
5.8%
별 231
 
5.8%
특 230
 
5.8%
Other values (153) 1595
39.9%
Latin
ValueCountFrequency (%)
E 6
17.1%
S 4
11.4%
K 3
8.6%
N 3
8.6%
U 3
8.6%
R 3
8.6%
T 3
8.6%
e 2
 
5.7%
n 2
 
5.7%
A 1
 
2.9%
Other values (5) 5
14.3%
Common
ValueCountFrequency (%)
1008
46.5%
* 961
44.3%
- 179
 
8.3%
2 4
 
0.2%
5 4
 
0.2%
3 3
 
0.1%
8 3
 
0.1%
6 2
 
0.1%
9 2
 
0.1%
4 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3999
64.5%
ASCII 2203
35.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1008
45.8%
* 961
43.6%
- 179
 
8.1%
E 6
 
0.3%
S 4
 
0.2%
2 4
 
0.2%
5 4
 
0.2%
3 3
 
0.1%
8 3
 
0.1%
K 3
 
0.1%
Other values (16) 28
 
1.3%
Hangul
ValueCountFrequency (%)
영 253
 
6.3%
포 252
 
6.3%
등 251
 
6.3%
동 247
 
6.2%
서 239
 
6.0%
시 235
 
5.9%
구 233
 
5.8%
울 233
 
5.8%
별 231
 
5.8%
특 230
 
5.8%
Other values (153) 1595
39.9%

도로명주소
Text

Distinct199
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-04-30T04:13:06.175212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length51
Mean length40.714286
Min length25

Characters and Unicode

Total characters9405
Distinct characters236
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

Unique174 ?
Unique (%)75.3%

Sample

1st row서울특별시 영등포구 선유로**길 ** (양평동*가)
2nd row서울특별시 영등포구 국회대로**길 **, ***호 (여의도동, 대성빌딩)
3rd row서울특별시 마포구 월드컵로**길 * (성산동)
4th row서울특별시 영등포구 여의대방로**길 *, *층 (여의도동, 센터빌딩)
5th row서울특별시 영등포구 양평로 **, ***호 (양평동*가, 양화빌딩)
ValueCountFrequency (%)
서울특별시 231
13.6%
영등포구 230
13.5%
227
13.4%
호 162
 
9.5%
여의도동 100
 
5.9%
층 84
 
4.9%
양평동*가 43
 
2.5%
당산동*가 30
 
1.8%
여의대방로**길 20
 
1.2%
국제금융로*길 18
 
1.1%
Other values (246) 555
32.6%
2024-04-30T04:13:06.532456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1572
 
16.7%
1469
 
15.6%
, 290
 
3.1%
영 281
 
3.0%
동 273
 
2.9%
포 266
 
2.8%
등 265
 
2.8%
서 258
 
2.7%
시 236
 
2.5%
구 234
 
2.5%
Other values (226) 4261
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5481
58.3%
Other Punctuation 1862
 
19.8%
Space Separator 1469
 
15.6%
Open Punctuation 231
 
2.5%
Close Punctuation 231
 
2.5%
Decimal Number 45
 
0.5%
Uppercase Letter 42
 
0.4%
Dash Punctuation 30
 
0.3%
Lowercase Letter 14
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 281
 
5.1%
동 273
 
5.0%
포 266
 
4.9%
등 265
 
4.8%
서 258
 
4.7%
시 236
 
4.3%
구 234
 
4.3%
울 234
 
4.3%
로 234
 
4.3%
별 233
 
4.3%
Other values (190) 2967
54.1%
Uppercase Letter
ValueCountFrequency (%)
B 9
21.4%
E 6
14.3%
S 5
11.9%
N 3
 
7.1%
K 3
 
7.1%
T 3
 
7.1%
A 3
 
7.1%
U 3
 
7.1%
R 3
 
7.1%
C 1
 
2.4%
Other values (3) 3
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 8
17.8%
3 7
15.6%
0 7
15.6%
6 6
13.3%
2 5
11.1%
7 3
 
6.7%
5 3
 
6.7%
4 3
 
6.7%
9 2
 
4.4%
8 1
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
e 4
28.6%
r 2
14.3%
t 2
14.3%
n 2
14.3%
d 2
14.3%
h 1
 
7.1%
c 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
* 1572
84.4%
, 290
 
15.6%
Space Separator
ValueCountFrequency (%)
1469
100.0%
Open Punctuation
ValueCountFrequency (%)
( 231
100.0%
Close Punctuation
ValueCountFrequency (%)
) 231
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5481
58.3%
Common 3868
41.1%
Latin 56
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 281
 
5.1%
동 273
 
5.0%
포 266
 
4.9%
등 265
 
4.8%
서 258
 
4.7%
시 236
 
4.3%
구 234
 
4.3%
울 234
 
4.3%
로 234
 
4.3%
별 233
 
4.3%
Other values (190) 2967
54.1%
Latin
ValueCountFrequency (%)
B 9
16.1%
E 6
10.7%
S 5
 
8.9%
e 4
 
7.1%
N 3
 
5.4%
K 3
 
5.4%
T 3
 
5.4%
A 3
 
5.4%
U 3
 
5.4%
R 3
 
5.4%
Other values (10) 14
25.0%
Common
ValueCountFrequency (%)
* 1572
40.6%
1469
38.0%
, 290
 
7.5%
( 231
 
6.0%
) 231
 
6.0%
- 30
 
0.8%
1 8
 
0.2%
3 7
 
0.2%
0 7
 
0.2%
6 6
 
0.2%
Other values (6) 17
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5481
58.3%
ASCII 3924
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1572
40.1%
1469
37.4%
, 290
 
7.4%
( 231
 
5.9%
) 231
 
5.9%
- 30
 
0.8%
B 9
 
0.2%
1 8
 
0.2%
3 7
 
0.2%
0 7
 
0.2%
Other values (26) 70
 
1.8%
Hangul
ValueCountFrequency (%)
영 281
 
5.1%
동 273
 
5.0%
포 266
 
4.9%
등 265
 
4.8%
서 258
 
4.7%
시 236
 
4.3%
구 234
 
4.3%
울 234
 
4.3%
로 234
 
4.3%
별 233
 
4.3%
Other values (190) 2967
54.1%

도로명우편번호
Real number (ℝ)

Distinct81
Distinct (%)35.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7883.9913
Minimum3971
Maximum150051
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-30T04:13:06.649212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3971
5-th percentile7205
Q17236
median7270
Q37332
95-th percentile7367.5
Maximum150051
Range146080
Interquartile range (IQR)96

Descriptive statistics

Standard deviation9397.254
Coefficient of variation (CV)1.1919412
Kurtosis230.73303
Mean7883.9913
Median Absolute Deviation (MAD)52
Skewness15.18537
Sum1821202
Variance88308382
MonotonicityNot monotonic
2024-04-30T04:13:06.763651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7333 25
 
10.8%
7332 10
 
4.3%
7239 9
 
3.9%
7238 8
 
3.5%
7327 7
 
3.0%
7206 6
 
2.6%
7222 6
 
2.6%
7345 6
 
2.6%
7236 6
 
2.6%
7208 5
 
2.2%
Other values (71) 143
61.9%
ValueCountFrequency (%)
3971 1
 
0.4%
7201 1
 
0.4%
7202 4
1.7%
7203 3
1.3%
7205 4
1.7%
7206 6
2.6%
7207 5
2.2%
7208 5
2.2%
7212 3
1.3%
7213 1
 
0.4%
ValueCountFrequency (%)
150051 1
 
0.4%
7446 1
 
0.4%
7439 1
 
0.4%
7424 1
 
0.4%
7383 1
 
0.4%
7375 4
1.7%
7374 1
 
0.4%
7373 1
 
0.4%
7370 1
 
0.4%
7365 1
 
0.4%

사업장명
Text

Distinct229
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-04-30T04:13:06.975682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length22
Mean length10.991342
Min length3

Characters and Unicode

Total characters2539
Distinct characters291
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique227 ?
Unique (%)98.3%

Sample

1st row대동롬텍 주식회사
2nd row주식회사 코콤앤티
3rd row제이디브로스 주식회사
4th row주식회사 엔케이(NK) 컴퍼니
5th row네오라이프코어 주식회사
ValueCountFrequency (%)
주식회사 111
28.6%
엔터테인먼트 10
 
2.6%
컴퍼니 4
 
1.0%
스미스 2
 
0.5%
지앤에프엔터테인먼트 2
 
0.5%
주 2
 
0.5%
뮤직팩토리 2
 
0.5%
company 2
 
0.5%
브로에이전시 1
 
0.3%
now 1
 
0.3%
Other values (251) 251
64.7%
2024-04-30T04:13:07.294700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 165
 
6.5%
157
 
6.2%
사 119
 
4.7%
식 115
 
4.5%
회 115
 
4.5%
이 105
 
4.1%
엔 86
 
3.4%
트 82
 
3.2%
터 77
 
3.0%
스 77
 
3.0%
Other values (281) 1441
56.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2032
80.0%
Space Separator 157
 
6.2%
Lowercase Letter 109
 
4.3%
Uppercase Letter 80
 
3.2%
Close Punctuation 75
 
3.0%
Open Punctuation 75
 
3.0%
Decimal Number 7
 
0.3%
Other Punctuation 3
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 165
 
8.1%
사 119
 
5.9%
식 115
 
5.7%
회 115
 
5.7%
이 105
 
5.2%
엔 86
 
4.2%
트 82
 
4.0%
터 77
 
3.8%
스 77
 
3.8%
먼 71
 
3.5%
Other values (227) 1020
50.2%
Uppercase Letter
ValueCountFrequency (%)
M 9
 
11.2%
E 9
 
11.2%
N 7
 
8.8%
H 6
 
7.5%
A 5
 
6.2%
O 4
 
5.0%
G 4
 
5.0%
S 4
 
5.0%
K 4
 
5.0%
D 3
 
3.8%
Other values (13) 25
31.2%
Lowercase Letter
ValueCountFrequency (%)
n 16
14.7%
e 13
11.9%
i 11
10.1%
o 9
8.3%
c 8
 
7.3%
a 7
 
6.4%
t 7
 
6.4%
u 6
 
5.5%
s 6
 
5.5%
r 6
 
5.5%
Other values (10) 20
18.3%
Decimal Number
ValueCountFrequency (%)
5 3
42.9%
1 1
 
14.3%
2 1
 
14.3%
6 1
 
14.3%
3 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
157
100.0%
Close Punctuation
ValueCountFrequency (%)
) 75
100.0%
Open Punctuation
ValueCountFrequency (%)
( 75
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2033
80.1%
Common 317
 
12.5%
Latin 189
 
7.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 165
 
8.1%
사 119
 
5.9%
식 115
 
5.7%
회 115
 
5.7%
이 105
 
5.2%
엔 86
 
4.2%
트 82
 
4.0%
터 77
 
3.8%
스 77
 
3.8%
먼 71
 
3.5%
Other values (228) 1021
50.2%
Latin
ValueCountFrequency (%)
n 16
 
8.5%
e 13
 
6.9%
i 11
 
5.8%
M 9
 
4.8%
E 9
 
4.8%
o 9
 
4.8%
c 8
 
4.2%
a 7
 
3.7%
t 7
 
3.7%
N 7
 
3.7%
Other values (33) 93
49.2%
Common
ValueCountFrequency (%)
157
49.5%
) 75
23.7%
( 75
23.7%
5 3
 
0.9%
. 2
 
0.6%
1 1
 
0.3%
2 1
 
0.3%
6 1
 
0.3%
3 1
 
0.3%
, 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2032
80.0%
ASCII 506
 
19.9%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 165
 
8.1%
사 119
 
5.9%
식 115
 
5.7%
회 115
 
5.7%
이 105
 
5.2%
엔 86
 
4.2%
트 82
 
4.0%
터 77
 
3.8%
스 77
 
3.8%
먼 71
 
3.5%
Other values (227) 1020
50.2%
ASCII
ValueCountFrequency (%)
157
31.0%
) 75
14.8%
( 75
14.8%
n 16
 
3.2%
e 13
 
2.6%
i 11
 
2.2%
M 9
 
1.8%
E 9
 
1.8%
o 9
 
1.8%
c 8
 
1.6%
Other values (43) 124
24.5%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct231
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2015-04-17 20:08:18
Maximum2024-04-23 14:43:44
2024-04-30T04:13:07.407023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:13:07.513397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
I
138 
U
91 
D
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 138
59.7%
U 91
39.4%
D 2
 
0.9%

Length

2024-04-30T04:13:07.788907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:13:07.868519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 138
59.7%
u 91
39.4%
d 2
 
0.9%

데이터갱신일자
Date

Distinct155
Distinct (%)67.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:05:00
2024-04-30T04:13:07.958309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:13:08.082545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing231
Missing (%)100.0%
Memory size2.2 KiB

좌표정보(X)
Real number (ℝ)

Distinct151
Distinct (%)65.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean192059.23
Minimum189734.54
Maximum194561.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-30T04:13:08.205865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189734.54
5-th percentile190137.51
Q1190771.46
median191823.51
Q3193359.45
95-th percentile193852.72
Maximum194561.75
Range4827.202
Interquartile range (IQR)2587.9889

Descriptive statistics

Standard deviation1376.8151
Coefficient of variation (CV)0.0071687005
Kurtosis-1.4832022
Mean192059.23
Median Absolute Deviation (MAD)1235.9415
Skewness0.088490608
Sum44365681
Variance1895619.7
MonotonicityNot monotonic
2024-04-30T04:13:08.319825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193282.654266684 9
 
3.9%
193694.665015597 5
 
2.2%
190587.567878858 4
 
1.7%
190153.128546656 4
 
1.7%
190693.098772684 4
 
1.7%
190586.062540107 4
 
1.7%
193717.614335836 4
 
1.7%
190996.357288859 3
 
1.3%
193165.490137352 3
 
1.3%
190023.48828661 3
 
1.3%
Other values (141) 188
81.4%
ValueCountFrequency (%)
189734.544016734 1
 
0.4%
189816.311605856 1
 
0.4%
189841.054006955 1
 
0.4%
189921.671894763 1
 
0.4%
189959.044020878 1
 
0.4%
190023.48828661 3
1.3%
190070.652293507 1
 
0.4%
190077.758728562 1
 
0.4%
190121.883534541 2
0.9%
190153.128546656 4
1.7%
ValueCountFrequency (%)
194561.746032498 3
1.3%
194530.535390096 3
1.3%
194370.32715363 1
 
0.4%
194202.270233313 1
 
0.4%
194068.004416729 1
 
0.4%
194056.681860495 1
 
0.4%
194028.635844427 1
 
0.4%
193861.272368256 1
 
0.4%
193844.169062846 1
 
0.4%
193839.302798329 1
 
0.4%

좌표정보(Y)
Real number (ℝ)

Distinct151
Distinct (%)65.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean446936.51
Minimum443069.85
Maximum450764.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-30T04:13:08.450999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum443069.85
5-th percentile445182.84
Q1446367.27
median446854.65
Q3447544.17
95-th percentile448642.11
Maximum450764.34
Range7694.4871
Interquartile range (IQR)1176.891

Descriptive statistics

Standard deviation1011.025
Coefficient of variation (CV)0.0022621223
Kurtosis1.4825497
Mean446936.51
Median Absolute Deviation (MAD)542.73145
Skewness-0.13480871
Sum1.0324233 × 108
Variance1022171.6
MonotonicityNot monotonic
2024-04-30T04:13:08.597053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447611.552045596 9
 
3.9%
446449.546192539 5
 
2.2%
448642.112414847 4
 
1.7%
448779.57454276 4
 
1.7%
445103.705464914 4
 
1.7%
447216.925498911 4
 
1.7%
446460.363567554 4
 
1.7%
445841.377603245 3
 
1.3%
446797.341447363 3
 
1.3%
446044.579840782 3
 
1.3%
Other values (141) 188
81.4%
ValueCountFrequency (%)
443069.850403727 1
 
0.4%
443438.730820108 1
 
0.4%
444011.472361031 1
 
0.4%
444850.301246589 1
 
0.4%
444860.202820099 1
 
0.4%
445006.550743762 1
 
0.4%
445103.705464914 4
1.7%
445146.537660906 1
 
0.4%
445156.583436997 1
 
0.4%
445209.098153025 1
 
0.4%
ValueCountFrequency (%)
450764.337520659 1
 
0.4%
448990.816559516 1
 
0.4%
448779.57454276 4
1.7%
448724.279518461 2
0.9%
448648.996039329 1
 
0.4%
448642.112414847 4
1.7%
448548.48004759 1
 
0.4%
448498.591692009 1
 
0.4%
448495.395437399 1
 
0.4%
448441.481306443 2
0.9%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
대중문화예술기획업
134 
<NA>
97 

Length

Max length9
Median length9
Mean length6.9004329
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대중문화예술기획업 134
58.0%
<NA> 97
42.0%

Length

2024-04-30T04:13:08.728750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:13:08.811646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대중문화예술기획업 134
58.0%
na 97
42.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
유통관련업
134 
<NA>
97 

Length

Max length5
Median length5
Mean length4.5800866
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 134
58.0%
<NA> 97
42.0%

Length

2024-04-30T04:13:08.900632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:13:08.980773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 134
58.0%
na 97
42.0%

총층수
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
0
134 
<NA>
97 

Length

Max length4
Median length1
Mean length2.2597403
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 134
58.0%
<NA> 97
42.0%

Length

2024-04-30T04:13:09.069973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:13:09.172518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 134
58.0%
na 97
42.0%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing231
Missing (%)100.0%
Memory size2.2 KiB

제작취급품목내용
Text

MISSING 

Distinct64
Distinct (%)47.8%
Missing97
Missing (%)42.0%
Memory size1.9 KiB
2024-04-30T04:13:09.337610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length25
Mean length7.6865672
Min length2

Characters and Unicode

Total characters1030
Distinct characters82
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)35.8%

Sample

1st row모델에이전시, 내외국인연애인대리업, 매니지먼트업
2nd row연예대리
3rd row엔터테인먼트
4th row연예 매니지먼트
5th row모델 에이전시
ValueCountFrequency (%)
매니지먼트 42
21.9%
엔터테인먼트 23
 
12.0%
연예인 10
 
5.2%
모델에이전시 8
 
4.2%
연예매니지먼트 7
 
3.6%
에이전시 7
 
3.6%
공연기획 6
 
3.1%
매니저업 5
 
2.6%
연예기획 5
 
2.6%
모델 5
 
2.6%
Other values (56) 74
38.5%
2024-04-30T04:13:09.645417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
트 91
 
8.8%
먼 90
 
8.7%
니 68
 
6.6%
매 67
 
6.5%
지 60
 
5.8%
58
 
5.6%
연 53
 
5.1%
인 52
 
5.0%
예 48
 
4.7%
, 32
 
3.1%
Other values (72) 411
39.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 940
91.3%
Space Separator 58
 
5.6%
Other Punctuation 32
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 91
 
9.7%
먼 90
 
9.6%
니 68
 
7.2%
매 67
 
7.1%
지 60
 
6.4%
연 53
 
5.6%
인 52
 
5.5%
예 48
 
5.1%
엔 30
 
3.2%
터 30
 
3.2%
Other values (70) 351
37.3%
Space Separator
ValueCountFrequency (%)
58
100.0%
Other Punctuation
ValueCountFrequency (%)
, 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 940
91.3%
Common 90
 
8.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 91
 
9.7%
먼 90
 
9.6%
니 68
 
7.2%
매 67
 
7.1%
지 60
 
6.4%
연 53
 
5.6%
인 52
 
5.5%
예 48
 
5.1%
엔 30
 
3.2%
터 30
 
3.2%
Other values (70) 351
37.3%
Common
ValueCountFrequency (%)
58
64.4%
, 32
35.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 940
91.3%
ASCII 90
 
8.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
트 91
 
9.7%
먼 90
 
9.6%
니 68
 
7.2%
매 67
 
7.1%
지 60
 
6.4%
연 53
 
5.6%
인 52
 
5.5%
예 48
 
5.1%
엔 30
 
3.2%
터 30
 
3.2%
Other values (70) 351
37.3%
ASCII
ValueCountFrequency (%)
58
64.4%
, 32
35.6%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)19.4%
Missing97
Missing (%)42.0%
Infinite0
Infinite (%)0.0%
Mean20.899179
Minimum0
Maximum670.28
Zeros109
Zeros (%)47.2%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-04-30T04:13:09.765664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile120.615
Maximum670.28
Range670.28
Interquartile range (IQR)0

Descriptive statistics

Standard deviation81.862972
Coefficient of variation (CV)3.9170425
Kurtosis44.042408
Mean20.899179
Median Absolute Deviation (MAD)0
Skewness6.2819766
Sum2800.49
Variance6701.5462
MonotonicityNot monotonic
2024-04-30T04:13:09.859076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0.0 109
47.2%
29.0 1
 
0.4%
12.0 1
 
0.4%
173.5 1
 
0.4%
131.34 1
 
0.4%
89.29 1
 
0.4%
30.0 1
 
0.4%
38.01 1
 
0.4%
114.84 1
 
0.4%
60.0 1
 
0.4%
Other values (16) 16
 
6.9%
(Missing) 97
42.0%
ValueCountFrequency (%)
0.0 109
47.2%
4.95 1
 
0.4%
7.0 1
 
0.4%
8.3 1
 
0.4%
12.0 1
 
0.4%
12.3 1
 
0.4%
29.0 1
 
0.4%
29.3 1
 
0.4%
30.0 1
 
0.4%
35.42 1
 
0.4%
ValueCountFrequency (%)
670.28 1
0.4%
567.0 1
0.4%
191.93 1
0.4%
173.5 1
0.4%
152.06 1
0.4%
138.6 1
0.4%
131.34 1
0.4%
114.84 1
0.4%
108.24 1
0.4%
89.29 1
0.4%

지상층수
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
0
134 
<NA>
97 

Length

Max length4
Median length1
Mean length2.2597403
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 134
58.0%
<NA> 97
42.0%

Length

2024-04-30T04:13:09.979220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:13:10.057741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 134
58.0%
na 97
42.0%

지하층수
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
0
134 
<NA>
97 

Length

Max length4
Median length1
Mean length2.2597403
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 134
58.0%
<NA> 97
42.0%

Length

2024-04-30T04:13:10.150464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:13:10.235065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 134
58.0%
na 97
42.0%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing231
Missing (%)100.0%
Memory size2.2 KiB

통로너비
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
0
134 
<NA>
97 

Length

Max length4
Median length1
Mean length2.2597403
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 134
58.0%
<NA> 97
42.0%

Length

2024-04-30T04:13:10.333600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:13:10.425509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 134
58.0%
na 97
42.0%

조명시설조도
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
0
134 
<NA>
97 

Length

Max length4
Median length1
Mean length2.2597403
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 134
58.0%
<NA> 97
42.0%

Length

2024-04-30T04:13:10.520805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:13:10.611807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 134
58.0%
na 97
42.0%

노래방실수
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
0
134 
<NA>
97 

Length

Max length4
Median length1
Mean length2.2597403
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 134
58.0%
<NA> 97
42.0%

Length

2024-04-30T04:13:10.709887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:13:10.793340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 134
58.0%
na 97
42.0%

청소년실수
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
0
134 
<NA>
97 

Length

Max length4
Median length1
Mean length2.2597403
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 134
58.0%
<NA> 97
42.0%

Length

2024-04-30T04:13:10.883873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:13:10.970309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 134
58.0%
na 97
42.0%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing231
Missing (%)100.0%
Memory size2.2 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing231
Missing (%)100.0%
Memory size2.2 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing231
Missing (%)100.0%
Memory size2.2 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing231
Missing (%)100.0%
Memory size2.2 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing231
Missing (%)100.0%
Memory size2.2 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing231
Missing (%)100.0%
Memory size2.2 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing231
Missing (%)100.0%
Memory size2.2 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing231
Missing (%)100.0%
Memory size2.2 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing231
Missing (%)100.0%
Memory size2.2 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing231
Missing (%)100.0%
Memory size2.2 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing231
Missing (%)100.0%
Memory size2.2 KiB

총게임기수
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
0
134 
<NA>
97 

Length

Max length4
Median length1
Mean length2.2597403
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 134
58.0%
<NA> 97
42.0%

Length

2024-04-30T04:13:11.060196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:13:11.155547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 134
58.0%
na 97
42.0%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing231
Missing (%)100.0%
Memory size2.2 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing231
Missing (%)100.0%
Memory size2.2 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing231
Missing (%)100.0%
Memory size2.2 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing231
Missing (%)100.0%
Memory size2.2 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing231
Missing (%)100.0%
Memory size2.2 KiB

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing231
Missing (%)100.0%
Memory size2.2 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03180000CDFF324109201400000120141127<NA>1영업/정상13영업중<NA><NA><NA><NA>0220684431<NA><NA>서울특별시 영등포구 양평동*가 **-*번지서울특별시 영등포구 선유로**길 ** (양평동*가)7271대동롬텍 주식회사2016-05-02 16:40:09I2018-08-31 23:59:59.0<NA>190121.883535447160.550414대중문화예술기획업유통관련업0<NA>모델에이전시, 내외국인연애인대리업, 매니지먼트업0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
13180000CDFF324109201500000120150114<NA>1영업/정상13영업중<NA><NA><NA><NA>027615148<NA><NA>서울특별시 영등포구 여의도동 **-**번지서울특별시 영등포구 국회대로**길 **, ***호 (여의도동, 대성빌딩)7236주식회사 코콤앤티2019-10-30 10:14:29U2019-11-01 02:40:00.0<NA>192562.603704447240.55433대중문화예술기획업유통관련업0<NA>연예대리0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
23180000CDFF324109201500000320150303<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6925-5008<NA><NA>서울특별시 마포구 성산동 ***-*번지서울특별시 마포구 월드컵로**길 * (성산동)3971제이디브로스 주식회사2015-06-19 10:57:22I2018-08-31 23:59:59.0<NA>191823.509411450764.337521대중문화예술기획업유통관련업0<NA>엔터테인먼트0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
33180000CDFF324109201500000420150303<NA>3폐업3폐업20181228<NA><NA><NA>02-1899-7090<NA><NA>서울특별시 영등포구 여의도동 **-**번지서울특별시 영등포구 여의대방로**길 *, *층 (여의도동, 센터빌딩)7333주식회사 엔케이(NK) 컴퍼니2018-12-28 13:13:55U2018-12-30 02:40:00.0<NA>193785.813403446328.360522대중문화예술기획업유통관련업0<NA>연예 매니지먼트0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
43180000CDFF324109201500000620150406<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2675-1006<NA><NA>서울특별시 영등포구 양평동*가 **-*번지서울특별시 영등포구 양평로 **, ***호 (양평동*가, 양화빌딩)7208네오라이프코어 주식회사2015-04-17 20:08:18I2018-08-31 23:59:59.0<NA>190806.366264448223.495619대중문화예술기획업유통관련업0<NA>모델 에이전시0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
53180000CDFF324109201500000720150408<NA>3폐업3폐업20181017<NA><NA><NA>02-2055-0555<NA><NA>서울특별시 영등포구 영등포동*가 **-*번지서울특별시 영등포구 영중로 ***, *층 (영등포동*가, 드림플라자)7226주식회사 신난엔터테인먼트2018-11-01 14:57:02U2018-11-03 02:36:17.0<NA>191628.281134447397.380617대중문화예술기획업유통관련업0<NA>연예매니지먼트0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
63180000CDFF324109201500000820150409<NA>3폐업3폐업20200630<NA><NA><NA>02-793-5104<NA><NA>서울특별시 영등포구 여의도동 **-**서울특별시 영등포구 여의서로 **, ****호 (여의도동, 한서리버파크)7239뮤직팜 주식회사2020-06-30 16:03:30U2020-07-02 02:40:00.0<NA>193282.654267447611.552046대중문화예술기획업유통관련업0<NA>음반제작, 연예인대리용역, 공연기획0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
73180000CDFF324109201500001020150428<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 **-*번지서울특별시 영등포구 **로 **, ***호 (여의도동, 라이프콤비빌딩)7345주식회사 수다미디어2016-06-03 08:51:33I2018-08-31 23:59:59.0<NA>194530.53539446306.787198대중문화예술기획업유통관련업0<NA>매니지먼트업0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
83180000CDFF324109201500001120150501<NA>1영업/정상13영업중<NA><NA><NA><NA>716-2770<NA><NA>서울특별시 영등포구 여의도동 **-**번지서울특별시 영등포구 여의서로 **, ****호 (여의도동, 한서 오피스텔)7239(주)파라마운트뮤직2015-05-01 11:01:55I2018-08-31 23:59:59.0<NA>193282.654267447611.552046대중문화예술기획업유통관련업0<NA>매니저업, 엔터테인먼트0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
93180000CDFF324109201500001320150528<NA>3폐업3폐업20160503<NA><NA><NA>02-6049-4003<NA><NA>서울특별시 영등포구 양평동*가 **번지서울특별시 영등포구 선유로 ***, *층 (양평동*가, 양평빌딩)7268디에스엔터테인먼트2016-05-10 15:06:23I2018-08-31 23:59:59.0<NA>190338.53193447369.606896대중문화예술기획업유통관련업0<NA>연예기획 매니지먼트0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
2213180000CDFF32410920230000302023-11-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 ** 서울 국제금융 센터서울특별시 영등포구 국제금융로 **, 서울 국제금융 센터 three동 **층 ****호 (여의도동)7326갤럭시코퍼레이션2023-12-04 15:36:49U2022-11-02 00:06:00.0<NA>193326.931019446973.91457<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2223180000CDFF32410920230000312017-02-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 ** 서울 국제금융 센터서울특별시 영등포구 국제금융로 **, 서울 국제금융 센터 **층 (여의도동)7326(주)와이지플러스2023-12-04 16:16:38U2022-11-02 00:06:00.0<NA>193326.931019446973.91457<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2233180000CDFF32410920240000012024-03-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동*가 ***서울특별시 영등포구 영신로 ***, ***호 (영등포동*가)7251주식회사 키울컴퍼니2024-03-04 20:34:22I2023-12-03 00:06:00.0<NA>191287.220817446748.752489<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2243180000CDFF32410920240000022024-03-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동*가 **-* 드림프라자서울특별시 영등포구 영중로 ***, 드림프라자 *층 C**호 (영등포동*가)7226주식회사 바이올렛오브2024-03-18 21:11:28I2023-12-02 22:00:00.0<NA>191628.281134447397.380617<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2253180000CDFF32410920240000032024-03-20<NA>1영업/정상13영업중<NA><NA><NA><NA>02-512-7692<NA><NA>서울특별시 영등포구 영등포동*가 **-*서울특별시 영등포구 국회대로 ***, 블리츠웨이빌딩 (영등포동*가)7245주식회사 블리츠웨이스튜디오2024-04-18 08:57:39U2023-12-03 22:00:00.0<NA>191498.976016447021.231573<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2263180000CDFF32410920240000042024-03-21<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6123-4201<NA><NA>서울특별시 영등포구 양평동*가 ** 선유도역*차 아이에스비즈타워서울특별시 영등포구 선유로**길 **, 선유도역*차 아이에스비즈타워 ****호 (양평동*가)7208(주)플랫폼케이2024-03-21 09:13:08I2023-12-02 22:03:00.0<NA>190649.039032448224.11192<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2273180000CDFF32410920240000052024-04-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 양평동*가 ***-*서울특별시 영등포구 양평로**길 **, 지층 *호 (양평동*가)7206그레이프티뮤직2024-04-03 09:37:57I2023-12-04 00:05:00.0<NA>190789.954257448498.591692<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2283180000CDFF32410920240000062021-09-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 여의도동 **-* 오투타워서울특별시 영등포구 의사당대로 **, 오투타워 **층 (여의도동)7325주식회사 아이피샵2024-04-11 09:58:23U2023-12-03 23:03:00.0<NA>193165.490137446797.341447<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2293180000CDFF32410920240000072024-04-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 영등포동*가 *-* 소담더블린서울특별시 영등포구 영등포로 ***, 소담더블린 *층 ***호 (영등포동*가)7303주식회사 무비온채널2024-04-12 14:36:39I2023-12-03 23:04:00.0<NA>192033.356641446259.45048<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2303180000CDFF32410920240000082021-08-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 양평동*가 ** 선유도역*차 아이에스비즈타워서울특별시 영등포구 선유로**길 **, 선유도역*차 아이에스비즈타워 ****호 (양평동*가)7208(주)피씨에스엔터테인먼트2024-04-23 14:43:44I2023-12-03 22:05:00.0<NA>190649.039032448224.11192<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>