Overview

Dataset statistics

Number of variables56
Number of observations196
Missing cells5667
Missing cells (%)51.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory93.3 KiB
Average record size in memory487.7 B

Variable types

Categorical16
Text6
DateTime6
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
Author용산구
URLhttps://data.seoul.go.kr/dataList/OA-17194/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총층수 is highly imbalanced (70.9%)Imbalance
지상층수 is highly imbalanced (70.9%)Imbalance
지하층수 is highly imbalanced (70.9%)Imbalance
통로너비 is highly imbalanced (75.4%)Imbalance
조명시설조도 is highly imbalanced (75.4%)Imbalance
노래방실수 is highly imbalanced (75.4%)Imbalance
청소년실수 is highly imbalanced (75.4%)Imbalance
총게임기수 is highly imbalanced (75.4%)Imbalance
인허가취소일자 has 196 (100.0%) missing valuesMissing
폐업일자 has 153 (78.1%) missing valuesMissing
휴업시작일자 has 194 (99.0%) missing valuesMissing
휴업종료일자 has 194 (99.0%) missing valuesMissing
재개업일자 has 196 (100.0%) missing valuesMissing
전화번호 has 137 (69.9%) missing valuesMissing
소재지면적 has 196 (100.0%) missing valuesMissing
소재지우편번호 has 196 (100.0%) missing valuesMissing
업태구분명 has 196 (100.0%) missing valuesMissing
주변환경명 has 196 (100.0%) missing valuesMissing
제작취급품목내용 has 112 (57.1%) missing valuesMissing
시설면적 has 172 (87.8%) missing valuesMissing
건물용도명 has 196 (100.0%) missing valuesMissing
비상계단여부 has 196 (100.0%) missing valuesMissing
비상구여부 has 196 (100.0%) missing valuesMissing
자동환기여부 has 196 (100.0%) missing valuesMissing
청소년실여부 has 196 (100.0%) missing valuesMissing
특수조명여부 has 196 (100.0%) missing valuesMissing
방음시설여부 has 196 (100.0%) missing valuesMissing
비디오재생기명 has 196 (100.0%) missing valuesMissing
조명시설유무 has 196 (100.0%) missing valuesMissing
음향시설여부 has 196 (100.0%) missing valuesMissing
편의시설여부 has 196 (100.0%) missing valuesMissing
소방시설여부 has 196 (100.0%) missing valuesMissing
기존게임업외업종명 has 196 (100.0%) missing valuesMissing
제공게임물명 has 196 (100.0%) missing valuesMissing
공연장형태구분명 has 196 (100.0%) missing valuesMissing
품목명 has 196 (100.0%) missing valuesMissing
최초등록시점 has 196 (100.0%) missing valuesMissing
지역구분명 has 196 (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 6 (3.1%) zerosZeros

Reproduction

Analysis started2024-05-11 05:31:23.502382
Analysis finished2024-05-11 05:31:25.677962
Duration2.18 seconds
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
3020000
196 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3020000 196
100.0%

Length

2024-05-11T05:31:25.923549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:31:26.275521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3020000 196
100.0%

관리번호
Text

UNIQUE 

Distinct196
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-05-11T05:31:26.751148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3920
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

Unique196 ?
Unique (%)100.0%

Sample

1st rowCDFF3241092015000001
2nd rowCDFF3241092015000003
3rd rowCDFF3241092015000008
4th rowCDFF3241092015000009
5th rowCDFF3241092015000011
ValueCountFrequency (%)
cdff3241092015000001 1
 
0.5%
cdff3241092021000029 1
 
0.5%
cdff3241092022000003 1
 
0.5%
cdff3241092021000032 1
 
0.5%
cdff3241092021000033 1
 
0.5%
cdff3241092021000034 1
 
0.5%
cdff3241092021000035 1
 
0.5%
cdff3241092021000036 1
 
0.5%
cdff3241092021000037 1
 
0.5%
cdff3241092021000038 1
 
0.5%
Other values (186) 186
94.9%
2024-05-11T05:31:27.895475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1269
32.4%
2 598
15.3%
1 400
 
10.2%
F 392
 
10.0%
3 269
 
6.9%
4 231
 
5.9%
9 231
 
5.9%
C 196
 
5.0%
D 196
 
5.0%
5 54
 
1.4%
Other values (3) 84
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3136
80.0%
Uppercase Letter 784
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1269
40.5%
2 598
19.1%
1 400
 
12.8%
3 269
 
8.6%
4 231
 
7.4%
9 231
 
7.4%
5 54
 
1.7%
7 33
 
1.1%
8 26
 
0.8%
6 25
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 392
50.0%
C 196
25.0%
D 196
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3136
80.0%
Latin 784
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1269
40.5%
2 598
19.1%
1 400
 
12.8%
3 269
 
8.6%
4 231
 
7.4%
9 231
 
7.4%
5 54
 
1.7%
7 33
 
1.1%
8 26
 
0.8%
6 25
 
0.8%
Latin
ValueCountFrequency (%)
F 392
50.0%
C 196
25.0%
D 196
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3920
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1269
32.4%
2 598
15.3%
1 400
 
10.2%
F 392
 
10.0%
3 269
 
6.9%
4 231
 
5.9%
9 231
 
5.9%
C 196
 
5.0%
D 196
 
5.0%
5 54
 
1.4%
Other values (3) 84
 
2.1%

인허가일자
Date

Distinct162
Distinct (%)82.7%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2015-02-06 00:00:00
Maximum2024-04-25 00:00:00
2024-05-11T05:31:28.414793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:31:29.153061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing196
Missing (%)100.0%
Memory size1.9 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
1
151 
3
25 
5
18 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row1
3rd row1
4th row1
5th row5

Common Values

ValueCountFrequency (%)
1 151
77.0%
3 25
 
12.8%
5 18
 
9.2%
2 2
 
1.0%

Length

2024-05-11T05:31:29.743969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:31:30.246830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 151
77.0%
3 25
 
12.8%
5 18
 
9.2%
2 2
 
1.0%

영업상태명
Categorical

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
영업/정상
151 
폐업
25 
제외/삭제/전출
18 
휴업
 
2

Length

Max length8
Median length5
Mean length4.8622449
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 151
77.0%
폐업 25
 
12.8%
제외/삭제/전출 18
 
9.2%
휴업 2
 
1.0%

Length

2024-05-11T05:31:30.640627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:31:31.004072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 151
77.0%
폐업 25
 
12.8%
제외/삭제/전출 18
 
9.2%
휴업 2
 
1.0%

상세영업상태코드
Categorical

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
13
151 
3
25 
15
18 
2
 
2

Length

Max length2
Median length2
Mean length1.8622449
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row15
2nd row13
3rd row13
4th row13
5th row15

Common Values

ValueCountFrequency (%)
13 151
77.0%
3 25
 
12.8%
15 18
 
9.2%
2 2
 
1.0%

Length

2024-05-11T05:31:31.518861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:31:31.836974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 151
77.0%
3 25
 
12.8%
15 18
 
9.2%
2 2
 
1.0%

상세영업상태명
Categorical

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
영업중
151 
폐업
25 
전출
18 
휴업
 
2

Length

Max length3
Median length3
Mean length2.7704082
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 151
77.0%
폐업 25
 
12.8%
전출 18
 
9.2%
휴업 2
 
1.0%

Length

2024-05-11T05:31:32.177179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:31:32.543674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 151
77.0%
폐업 25
 
12.8%
전출 18
 
9.2%
휴업 2
 
1.0%

폐업일자
Date

MISSING 

Distinct42
Distinct (%)97.7%
Missing153
Missing (%)78.1%
Memory size1.7 KiB
Minimum2016-05-04 00:00:00
Maximum2024-04-05 00:00:00
2024-05-11T05:31:32.917047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:31:33.198824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

휴업시작일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing194
Missing (%)99.0%
Memory size1.7 KiB
Minimum2022-05-30 00:00:00
Maximum2023-12-21 00:00:00
2024-05-11T05:31:33.434839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:31:33.681866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

휴업종료일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing194
Missing (%)99.0%
Memory size1.7 KiB
Minimum2024-05-30 00:00:00
Maximum2028-12-21 00:00:00
2024-05-11T05:31:33.891708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:31:34.160693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing196
Missing (%)100.0%
Memory size1.9 KiB

전화번호
Text

MISSING 

Distinct57
Distinct (%)96.6%
Missing137
Missing (%)69.9%
Memory size1.7 KiB
2024-05-11T05:31:34.714478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.423729
Min length9

Characters and Unicode

Total characters674
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

Unique55 ?
Unique (%)93.2%

Sample

1st row02-6010-0778
2nd row02-517-0248
3rd row02-322-1273
4th row02-794-9491
5th row02-3445-5352
ValueCountFrequency (%)
02-6743-5600 2
 
3.4%
02-3444-0105 2
 
3.4%
02-6900-8888 1
 
1.7%
02-541-0077 1
 
1.7%
02-797-0506 1
 
1.7%
02-3471-5670 1
 
1.7%
02-562-2250 1
 
1.7%
070-4242-4534 1
 
1.7%
070-4024-6350 1
 
1.7%
02-6348-1019 1
 
1.7%
Other values (47) 47
79.7%
2024-05-11T05:31:35.964113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 117
17.4%
0 106
15.7%
2 92
13.6%
4 62
9.2%
7 59
8.8%
3 49
7.3%
9 47
7.0%
5 40
 
5.9%
8 37
 
5.5%
1 34
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 557
82.6%
Dash Punctuation 117
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 106
19.0%
2 92
16.5%
4 62
11.1%
7 59
10.6%
3 49
8.8%
9 47
8.4%
5 40
 
7.2%
8 37
 
6.6%
1 34
 
6.1%
6 31
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 117
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 674
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 117
17.4%
0 106
15.7%
2 92
13.6%
4 62
9.2%
7 59
8.8%
3 49
7.3%
9 47
7.0%
5 40
 
5.9%
8 37
 
5.5%
1 34
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 674
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 117
17.4%
0 106
15.7%
2 92
13.6%
4 62
9.2%
7 59
8.8%
3 49
7.3%
9 47
7.0%
5 40
 
5.9%
8 37
 
5.5%
1 34
 
5.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing196
Missing (%)100.0%
Memory size1.9 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing196
Missing (%)100.0%
Memory size1.9 KiB

지번주소
Text

Distinct143
Distinct (%)73.3%
Missing1
Missing (%)0.5%
Memory size1.7 KiB
2024-05-11T05:31:36.666888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length39
Mean length24.851282
Min length17

Characters and Unicode

Total characters4846
Distinct characters163
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

Unique117 ?
Unique (%)60.0%

Sample

1st row서울특별시 용산구 한남동 *** ***호
2nd row서울특별시 용산구 이태원동 **-**번지
3rd row서울특별시 용산구 한남동 ***-**번지
4th row서울특별시 용산구 한강로*가 **번지 ***동 ****호
5th row서울특별시 용산구 한강로*가 ***-* 지하*층
ValueCountFrequency (%)
서울특별시 195
20.9%
용산구 195
20.9%
141
15.1%
한남동 72
 
7.7%
번지 51
 
5.5%
이태원동 36
 
3.9%
호 30
 
3.2%
한강로*가 25
 
2.7%
층 15
 
1.6%
원효로*가 11
 
1.2%
Other values (94) 160
17.2%
2024-05-11T05:31:38.235828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 974
20.1%
806
16.6%
산 219
 
4.5%
용 218
 
4.5%
서 204
 
4.2%
시 197
 
4.1%
울 196
 
4.0%
구 195
 
4.0%
별 195
 
4.0%
특 195
 
4.0%
Other values (153) 1447
29.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2842
58.6%
Other Punctuation 976
 
20.1%
Space Separator 806
 
16.6%
Dash Punctuation 174
 
3.6%
Uppercase Letter 20
 
0.4%
Decimal Number 17
 
0.4%
Lowercase Letter 9
 
0.2%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 219
 
7.7%
용 218
 
7.7%
서 204
 
7.2%
시 197
 
6.9%
울 196
 
6.9%
구 195
 
6.9%
별 195
 
6.9%
특 195
 
6.9%
동 178
 
6.3%
한 108
 
3.8%
Other values (119) 937
33.0%
Uppercase Letter
ValueCountFrequency (%)
E 4
20.0%
H 2
10.0%
B 2
10.0%
A 2
10.0%
S 2
10.0%
T 2
10.0%
D 1
 
5.0%
C 1
 
5.0%
W 1
 
5.0%
Y 1
 
5.0%
Other values (2) 2
10.0%
Decimal Number
ValueCountFrequency (%)
5 3
17.6%
7 2
11.8%
6 2
11.8%
2 2
11.8%
1 2
11.8%
4 2
11.8%
3 2
11.8%
8 1
 
5.9%
0 1
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
c 2
22.2%
l 2
22.2%
i 1
11.1%
t 1
11.1%
k 1
11.1%
o 1
11.1%
r 1
11.1%
Other Punctuation
ValueCountFrequency (%)
* 974
99.8%
, 2
 
0.2%
Space Separator
ValueCountFrequency (%)
806
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 174
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2842
58.6%
Common 1975
40.8%
Latin 29
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 219
 
7.7%
용 218
 
7.7%
서 204
 
7.2%
시 197
 
6.9%
울 196
 
6.9%
구 195
 
6.9%
별 195
 
6.9%
특 195
 
6.9%
동 178
 
6.3%
한 108
 
3.8%
Other values (119) 937
33.0%
Latin
ValueCountFrequency (%)
E 4
13.8%
H 2
 
6.9%
B 2
 
6.9%
c 2
 
6.9%
A 2
 
6.9%
S 2
 
6.9%
l 2
 
6.9%
T 2
 
6.9%
D 1
 
3.4%
C 1
 
3.4%
Other values (9) 9
31.0%
Common
ValueCountFrequency (%)
* 974
49.3%
806
40.8%
- 174
 
8.8%
5 3
 
0.2%
7 2
 
0.1%
, 2
 
0.1%
6 2
 
0.1%
2 2
 
0.1%
1 2
 
0.1%
4 2
 
0.1%
Other values (5) 6
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2842
58.6%
ASCII 2004
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 974
48.6%
806
40.2%
- 174
 
8.7%
E 4
 
0.2%
5 3
 
0.1%
7 2
 
0.1%
, 2
 
0.1%
6 2
 
0.1%
2 2
 
0.1%
1 2
 
0.1%
Other values (24) 33
 
1.6%
Hangul
ValueCountFrequency (%)
산 219
 
7.7%
용 218
 
7.7%
서 204
 
7.2%
시 197
 
6.9%
울 196
 
6.9%
구 195
 
6.9%
별 195
 
6.9%
특 195
 
6.9%
동 178
 
6.3%
한 108
 
3.8%
Other values (119) 937
33.0%

도로명주소
Text

Distinct163
Distinct (%)83.2%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-05-11T05:31:39.065048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length46
Mean length34.892857
Min length24

Characters and Unicode

Total characters6839
Distinct characters200
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique137 ?
Unique (%)69.9%

Sample

1st row서울특별시 용산구 한남대로**길 **, ***호 (한남동)
2nd row서울특별시 용산구 녹사평대로**길 ** (이태원동)
3rd row서울특별시 용산구 유엔빌리지길 ** (한남동)
4th row서울특별시 용산구 한강대로 ***, ***동 ****호 (한강로*가)
5th row서울특별시 용산구 한강대로 ***, 지하*층 (한강로*가)
ValueCountFrequency (%)
서울특별시 196
15.0%
용산구 196
15.0%
194
14.9%
층 87
 
6.7%
호 78
 
6.0%
한남동 73
 
5.6%
이태원동 36
 
2.8%
한강로*가 25
 
1.9%
한남대로**길 24
 
1.8%
한강대로 21
 
1.6%
Other values (177) 374
28.7%
2024-05-11T05:31:40.636105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1115
 
16.3%
1109
 
16.2%
로 232
 
3.4%
서 222
 
3.2%
산 221
 
3.2%
용 219
 
3.2%
, 214
 
3.1%
시 200
 
2.9%
) 198
 
2.9%
( 198
 
2.9%
Other values (190) 2911
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3910
57.2%
Other Punctuation 1329
 
19.4%
Space Separator 1109
 
16.2%
Close Punctuation 198
 
2.9%
Open Punctuation 198
 
2.9%
Dash Punctuation 38
 
0.6%
Uppercase Letter 25
 
0.4%
Decimal Number 22
 
0.3%
Lowercase Letter 9
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 232
 
5.9%
서 222
 
5.7%
산 221
 
5.7%
용 219
 
5.6%
시 200
 
5.1%
울 198
 
5.1%
구 196
 
5.0%
별 196
 
5.0%
특 196
 
5.0%
동 191
 
4.9%
Other values (155) 1839
47.0%
Uppercase Letter
ValueCountFrequency (%)
B 6
24.0%
E 4
16.0%
A 2
 
8.0%
H 2
 
8.0%
S 2
 
8.0%
T 2
 
8.0%
D 2
 
8.0%
W 1
 
4.0%
C 1
 
4.0%
Y 1
 
4.0%
Other values (2) 2
 
8.0%
Decimal Number
ValueCountFrequency (%)
1 8
36.4%
2 4
18.2%
3 3
 
13.6%
8 2
 
9.1%
6 1
 
4.5%
4 1
 
4.5%
7 1
 
4.5%
5 1
 
4.5%
0 1
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
c 2
22.2%
l 2
22.2%
k 1
11.1%
o 1
11.1%
i 1
11.1%
t 1
11.1%
r 1
11.1%
Other Punctuation
ValueCountFrequency (%)
* 1115
83.9%
, 214
 
16.1%
Space Separator
ValueCountFrequency (%)
1109
100.0%
Close Punctuation
ValueCountFrequency (%)
) 198
100.0%
Open Punctuation
ValueCountFrequency (%)
( 198
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3910
57.2%
Common 2895
42.3%
Latin 34
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 232
 
5.9%
서 222
 
5.7%
산 221
 
5.7%
용 219
 
5.6%
시 200
 
5.1%
울 198
 
5.1%
구 196
 
5.0%
별 196
 
5.0%
특 196
 
5.0%
동 191
 
4.9%
Other values (155) 1839
47.0%
Latin
ValueCountFrequency (%)
B 6
17.6%
E 4
11.8%
A 2
 
5.9%
H 2
 
5.9%
c 2
 
5.9%
l 2
 
5.9%
S 2
 
5.9%
T 2
 
5.9%
D 2
 
5.9%
W 1
 
2.9%
Other values (9) 9
26.5%
Common
ValueCountFrequency (%)
* 1115
38.5%
1109
38.3%
, 214
 
7.4%
) 198
 
6.8%
( 198
 
6.8%
- 38
 
1.3%
1 8
 
0.3%
2 4
 
0.1%
3 3
 
0.1%
8 2
 
0.1%
Other values (6) 6
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3910
57.2%
ASCII 2929
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1115
38.1%
1109
37.9%
, 214
 
7.3%
) 198
 
6.8%
( 198
 
6.8%
- 38
 
1.3%
1 8
 
0.3%
B 6
 
0.2%
2 4
 
0.1%
E 4
 
0.1%
Other values (25) 35
 
1.2%
Hangul
ValueCountFrequency (%)
로 232
 
5.9%
서 222
 
5.7%
산 221
 
5.7%
용 219
 
5.6%
시 200
 
5.1%
울 198
 
5.1%
구 196
 
5.0%
별 196
 
5.0%
특 196
 
5.0%
동 191
 
4.9%
Other values (155) 1839
47.0%

도로명우편번호
Real number (ℝ)

Distinct73
Distinct (%)37.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8540.8776
Minimum4303
Maximum140762
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-05-11T05:31:41.156988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4303
5-th percentile4316
Q14349
median4389.5
Q34410
95-th percentile4420
Maximum140762
Range136459
Interquartile range (IQR)61

Descriptive statistics

Standard deviation23484.258
Coefficient of variation (CV)2.7496306
Kurtosis28.449775
Mean8540.8776
Median Absolute Deviation (MAD)27.5
Skewness5.4917505
Sum1674012
Variance5.5151037 × 108
MonotonicityNot monotonic
2024-05-11T05:31:42.099195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4417 16
 
8.2%
4410 12
 
6.1%
4389 10
 
5.1%
4401 7
 
3.6%
4420 6
 
3.1%
4350 6
 
3.1%
4349 5
 
2.6%
4402 4
 
2.0%
4322 4
 
2.0%
4406 4
 
2.0%
Other values (63) 122
62.2%
ValueCountFrequency (%)
4303 2
1.0%
4309 2
1.0%
4312 1
 
0.5%
4313 1
 
0.5%
4315 3
1.5%
4316 4
2.0%
4317 1
 
0.5%
4319 1
 
0.5%
4321 1
 
0.5%
4322 4
2.0%
ValueCountFrequency (%)
140762 1
 
0.5%
140752 1
 
0.5%
140210 1
 
0.5%
140201 2
 
1.0%
140011 1
 
0.5%
4427 2
 
1.0%
4423 1
 
0.5%
4420 6
3.1%
4419 4
2.0%
4418 2
 
1.0%

사업장명
Text

Distinct195
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-05-11T05:31:42.774447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length29
Mean length11.709184
Min length2

Characters and Unicode

Total characters2295
Distinct characters290
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

Unique194 ?
Unique (%)99.0%

Sample

1st row(주)디지털수다
2nd row와이엠씨엔터테인먼트 주식회사
3rd row주식회사 다른별엔터테인먼트
4th row(주)이에이앤씨(EA&C CO.,Ltd.)
5th row(주)차차차
ValueCountFrequency (%)
주식회사 96
28.7%
주 4
 
1.2%
엔터테인먼트 4
 
1.2%
entertainment 3
 
0.9%
inc 2
 
0.6%
유한회사 2
 
0.6%
ltd 2
 
0.6%
co 2
 
0.6%
music 2
 
0.6%
ent 2
 
0.6%
Other values (212) 216
64.5%
2024-05-11T05:31:44.352285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 152
 
6.6%
139
 
6.1%
사 106
 
4.6%
회 103
 
4.5%
식 102
 
4.4%
이 98
 
4.3%
트 70
 
3.1%
( 70
 
3.1%
) 70
 
3.1%
스 60
 
2.6%
Other values (280) 1325
57.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1779
77.5%
Space Separator 139
 
6.1%
Lowercase Letter 126
 
5.5%
Uppercase Letter 89
 
3.9%
Open Punctuation 70
 
3.1%
Close Punctuation 70
 
3.1%
Other Punctuation 19
 
0.8%
Decimal Number 2
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 152
 
8.5%
사 106
 
6.0%
회 103
 
5.8%
식 102
 
5.7%
이 98
 
5.5%
트 70
 
3.9%
스 60
 
3.4%
인 59
 
3.3%
터 56
 
3.1%
엔 54
 
3.0%
Other values (231) 919
51.7%
Uppercase Letter
ValueCountFrequency (%)
E 13
14.6%
C 10
11.2%
R 8
9.0%
T 7
 
7.9%
O 7
 
7.9%
M 6
 
6.7%
A 6
 
6.7%
L 5
 
5.6%
N 4
 
4.5%
I 4
 
4.5%
Other values (11) 19
21.3%
Lowercase Letter
ValueCountFrequency (%)
t 19
15.1%
n 18
14.3%
e 15
11.9%
a 12
9.5%
i 10
7.9%
o 8
 
6.3%
r 8
 
6.3%
m 7
 
5.6%
c 5
 
4.0%
g 4
 
3.2%
Other values (9) 20
15.9%
Other Punctuation
ValueCountFrequency (%)
. 13
68.4%
, 4
 
21.1%
& 2
 
10.5%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
9 1
50.0%
Space Separator
ValueCountFrequency (%)
139
100.0%
Open Punctuation
ValueCountFrequency (%)
( 70
100.0%
Close Punctuation
ValueCountFrequency (%)
) 70
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1779
77.5%
Common 301
 
13.1%
Latin 215
 
9.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 152
 
8.5%
사 106
 
6.0%
회 103
 
5.8%
식 102
 
5.7%
이 98
 
5.5%
트 70
 
3.9%
스 60
 
3.4%
인 59
 
3.3%
터 56
 
3.1%
엔 54
 
3.0%
Other values (231) 919
51.7%
Latin
ValueCountFrequency (%)
t 19
 
8.8%
n 18
 
8.4%
e 15
 
7.0%
E 13
 
6.0%
a 12
 
5.6%
i 10
 
4.7%
C 10
 
4.7%
o 8
 
3.7%
R 8
 
3.7%
r 8
 
3.7%
Other values (30) 94
43.7%
Common
ValueCountFrequency (%)
139
46.2%
( 70
23.3%
) 70
23.3%
. 13
 
4.3%
, 4
 
1.3%
& 2
 
0.7%
2 1
 
0.3%
- 1
 
0.3%
9 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1779
77.5%
ASCII 516
 
22.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 152
 
8.5%
사 106
 
6.0%
회 103
 
5.8%
식 102
 
5.7%
이 98
 
5.5%
트 70
 
3.9%
스 60
 
3.4%
인 59
 
3.3%
터 56
 
3.1%
엔 54
 
3.0%
Other values (231) 919
51.7%
ASCII
ValueCountFrequency (%)
139
26.9%
( 70
13.6%
) 70
13.6%
t 19
 
3.7%
n 18
 
3.5%
e 15
 
2.9%
. 13
 
2.5%
E 13
 
2.5%
a 12
 
2.3%
i 10
 
1.9%
Other values (39) 137
26.6%

최종수정일자
Date

UNIQUE 

Distinct196
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2015-05-04 18:53:35
Maximum2024-05-07 16:57:33
2024-05-11T05:31:45.079780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:31:46.061724image/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
108 
U
88 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 108
55.1%
U 88
44.9%

Length

2024-05-11T05:31:46.768221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:31:47.270185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 108
55.1%
u 88
44.9%

데이터갱신일자
Date

Distinct141
Distinct (%)71.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T05:31:47.809612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:31:48.469233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing196
Missing (%)100.0%
Memory size1.9 KiB

좌표정보(X)
Real number (ℝ)

Distinct151
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198869
Minimum195086.36
Maximum201244.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-05-11T05:31:49.127754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195086.36
5-th percentile196162.23
Q1197335.32
median199312.81
Q3200195.45
95-th percentile200724.89
Maximum201244.31
Range6157.9479
Interquartile range (IQR)2860.1275

Descriptive statistics

Standard deviation1558.7763
Coefficient of variation (CV)0.0078382066
Kurtosis-1.0360179
Mean198869
Median Absolute Deviation (MAD)1092.7252
Skewness-0.5429789
Sum38978323
Variance2429783.5
MonotonicityNot monotonic
2024-05-11T05:31:49.705442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
196768.132356945 5
 
2.6%
200716.766380692 4
 
2.0%
199209.244690977 4
 
2.0%
196778.495551647 3
 
1.5%
199898.839163513 3
 
1.5%
199146.993277398 3
 
1.5%
199678.685128404 3
 
1.5%
200112.9741272 3
 
1.5%
200319.06075632 3
 
1.5%
200164.340455523 3
 
1.5%
Other values (141) 162
82.7%
ValueCountFrequency (%)
195086.35935132 1
0.5%
195322.602262906 1
0.5%
195653.553341643 1
0.5%
195755.712214862 1
0.5%
195793.00799323 1
0.5%
195957.617807061 1
0.5%
196005.836412851 2
1.0%
196081.468322436 1
0.5%
196118.749575977 1
0.5%
196176.721461568 1
0.5%
ValueCountFrequency (%)
201244.307236051 1
0.5%
201070.187785081 1
0.5%
200999.320513425 1
0.5%
200997.894140236 1
0.5%
200973.10118543 1
0.5%
200799.100104436 1
0.5%
200740.35198837 1
0.5%
200738.961593748 1
0.5%
200733.150411988 2
1.0%
200722.134530525 1
0.5%

좌표정보(Y)
Real number (ℝ)

Distinct151
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean448089.34
Minimum446201.32
Maximum450140.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-05-11T05:31:50.332796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446201.32
5-th percentile446768.13
Q1447664.86
median448040.64
Q3448650.06
95-th percentile449285.77
Maximum450140.79
Range3939.4797
Interquartile range (IQR)985.20685

Descriptive statistics

Standard deviation779.73293
Coefficient of variation (CV)0.0017401283
Kurtosis-0.024228848
Mean448089.34
Median Absolute Deviation (MAD)420.87716
Skewness0.12033143
Sum87825511
Variance607983.44
MonotonicityNot monotonic
2024-05-11T05:31:50.811880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
446931.975248096 5
 
2.6%
447664.857336685 4
 
2.0%
447676.359851065 4
 
2.0%
446947.960824067 3
 
1.5%
447995.451766787 3
 
1.5%
446703.426383454 3
 
1.5%
448086.564575334 3
 
1.5%
447946.655064393 3
 
1.5%
448640.981454745 3
 
1.5%
448716.470070334 3
 
1.5%
Other values (141) 162
82.7%
ValueCountFrequency (%)
446201.315141801 1
 
0.5%
446333.849826939 1
 
0.5%
446532.720632291 1
 
0.5%
446550.416112404 1
 
0.5%
446599.138579503 1
 
0.5%
446652.354150008 1
 
0.5%
446703.426383454 3
1.5%
446768.129158285 2
1.0%
446821.664128082 1
 
0.5%
446844.24906161 1
 
0.5%
ValueCountFrequency (%)
450140.794806055 1
0.5%
450052.107558796 1
0.5%
449934.157783456 1
0.5%
449880.320771106 1
0.5%
449844.319841559 1
0.5%
449838.302982384 1
0.5%
449780.047542817 1
0.5%
449697.580936942 1
0.5%
449639.883505951 1
0.5%
449484.351052485 1
0.5%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
112 
대중문화예술기획업
84 

Length

Max length9
Median length4
Mean length6.1428571
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 112
57.1%
대중문화예술기획업 84
42.9%

Length

2024-05-11T05:31:51.282340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:31:51.823736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 112
57.1%
대중문화예술기획업 84
42.9%

문화사업자구분명
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
112 
유통관련업
84 

Length

Max length5
Median length4
Mean length4.4285714
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 112
57.1%
유통관련업 84
42.9%

Length

2024-05-11T05:31:52.149396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:31:52.487511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 112
57.1%
유통관련업 84
42.9%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
186 
0
 
10

Length

Max length4
Median length4
Mean length3.8469388
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> 186
94.9%
0 10
 
5.1%

Length

2024-05-11T05:31:52.912281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:31:53.232185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 186
94.9%
0 10
 
5.1%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing196
Missing (%)100.0%
Memory size1.9 KiB

제작취급품목내용
Text

MISSING 

Distinct45
Distinct (%)53.6%
Missing112
Missing (%)57.1%
Memory size1.7 KiB
2024-05-11T05:31:53.675413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length19
Mean length8.8809524
Min length4

Characters and Unicode

Total characters746
Distinct characters70
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

Unique30 ?
Unique (%)35.7%

Sample

1st row연예인 대리
2nd row연예인 매니지먼트
3rd row연예인 대리, 매니저, 엔터테인먼트
4th row엔터테인먼트
5th row엔터테인먼트
ValueCountFrequency (%)
매니지먼트 25
18.4%
엔터테인먼트 16
 
11.8%
연예인 12
 
8.8%
연예매니지먼트 6
 
4.4%
공연기획 6
 
4.4%
매니지먼트업 4
 
2.9%
매니저업 3
 
2.2%
연예인매니지먼트 3
 
2.2%
대리 3
 
2.2%
연예인대리 3
 
2.2%
Other values (43) 55
40.4%
2024-05-11T05:31:54.980864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
트 72
 
9.7%
먼 69
 
9.2%
매 53
 
7.1%
니 53
 
7.1%
52
 
7.0%
지 48
 
6.4%
연 43
 
5.8%
인 41
 
5.5%
예 35
 
4.7%
, 31
 
4.2%
Other values (60) 249
33.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 658
88.2%
Space Separator 52
 
7.0%
Other Punctuation 36
 
4.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 72
 
10.9%
먼 69
 
10.5%
매 53
 
8.1%
니 53
 
8.1%
지 48
 
7.3%
연 43
 
6.5%
인 41
 
6.2%
예 35
 
5.3%
엔 21
 
3.2%
터 21
 
3.2%
Other values (56) 202
30.7%
Other Punctuation
ValueCountFrequency (%)
, 31
86.1%
. 3
 
8.3%
/ 2
 
5.6%
Space Separator
ValueCountFrequency (%)
52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 658
88.2%
Common 88
 
11.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 72
 
10.9%
먼 69
 
10.5%
매 53
 
8.1%
니 53
 
8.1%
지 48
 
7.3%
연 43
 
6.5%
인 41
 
6.2%
예 35
 
5.3%
엔 21
 
3.2%
터 21
 
3.2%
Other values (56) 202
30.7%
Common
ValueCountFrequency (%)
52
59.1%
, 31
35.2%
. 3
 
3.4%
/ 2
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 658
88.2%
ASCII 88
 
11.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
트 72
 
10.9%
먼 69
 
10.5%
매 53
 
8.1%
니 53
 
8.1%
지 48
 
7.3%
연 43
 
6.5%
인 41
 
6.2%
예 35
 
5.3%
엔 21
 
3.2%
터 21
 
3.2%
Other values (56) 202
30.7%
ASCII
ValueCountFrequency (%)
52
59.1%
, 31
35.2%
. 3
 
3.4%
/ 2
 
2.3%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)75.0%
Missing172
Missing (%)87.8%
Infinite0
Infinite (%)0.0%
Mean91.858333
Minimum0
Maximum356.94
Zeros6
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-05-11T05:31:55.388595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110.86
median51.955
Q3122.7075
95-th percentile314.6595
Maximum356.94
Range356.94
Interquartile range (IQR)111.8475

Descriptive statistics

Standard deviation106.87095
Coefficient of variation (CV)1.1634323
Kurtosis0.76324942
Mean91.858333
Median Absolute Deviation (MAD)51.955
Skewness1.3169038
Sum2204.6
Variance11421.401
MonotonicityNot monotonic
2024-05-11T05:31:55.985607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.0 6
 
3.1%
221.79 2
 
1.0%
53.57 1
 
0.5%
50.34 1
 
0.5%
124.56 1
 
0.5%
80.0 1
 
0.5%
112.0 1
 
0.5%
356.94 1
 
0.5%
56.01 1
 
0.5%
49.59 1
 
0.5%
Other values (8) 8
 
4.1%
(Missing) 172
87.8%
ValueCountFrequency (%)
0.0 6
3.1%
14.48 1
 
0.5%
16.5 1
 
0.5%
31.74 1
 
0.5%
37.26 1
 
0.5%
49.59 1
 
0.5%
50.34 1
 
0.5%
53.57 1
 
0.5%
56.01 1
 
0.5%
76.79 1
 
0.5%
ValueCountFrequency (%)
356.94 1
0.5%
325.41 1
0.5%
253.74 1
0.5%
221.79 2
1.0%
124.56 1
0.5%
122.09 1
0.5%
112.0 1
0.5%
80.0 1
0.5%
76.79 1
0.5%
56.01 1
0.5%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
186 
0
 
10

Length

Max length4
Median length4
Mean length3.8469388
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> 186
94.9%
0 10
 
5.1%

Length

2024-05-11T05:31:56.619496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:31:56.964458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 186
94.9%
0 10
 
5.1%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
186 
0
 
10

Length

Max length4
Median length4
Mean length3.8469388
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> 186
94.9%
0 10
 
5.1%

Length

2024-05-11T05:31:57.443778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:31:57.862558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 186
94.9%
0 10
 
5.1%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing196
Missing (%)100.0%
Memory size1.9 KiB

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
188 
0
 
8

Length

Max length4
Median length4
Mean length3.877551
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> 188
95.9%
0 8
 
4.1%

Length

2024-05-11T05:31:58.437334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:31:58.796107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 188
95.9%
0 8
 
4.1%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
188 
0
 
8

Length

Max length4
Median length4
Mean length3.877551
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> 188
95.9%
0 8
 
4.1%

Length

2024-05-11T05:31:59.273893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:31:59.765654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 188
95.9%
0 8
 
4.1%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
188 
0
 
8

Length

Max length4
Median length4
Mean length3.877551
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> 188
95.9%
0 8
 
4.1%

Length

2024-05-11T05:32:00.177019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:32:00.658696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 188
95.9%
0 8
 
4.1%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
188 
0
 
8

Length

Max length4
Median length4
Mean length3.877551
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> 188
95.9%
0 8
 
4.1%

Length

2024-05-11T05:32:01.383645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:32:01.922399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 188
95.9%
0 8
 
4.1%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing196
Missing (%)100.0%
Memory size1.9 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing196
Missing (%)100.0%
Memory size1.9 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing196
Missing (%)100.0%
Memory size1.9 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing196
Missing (%)100.0%
Memory size1.9 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing196
Missing (%)100.0%
Memory size1.9 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing196
Missing (%)100.0%
Memory size1.9 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing196
Missing (%)100.0%
Memory size1.9 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing196
Missing (%)100.0%
Memory size1.9 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing196
Missing (%)100.0%
Memory size1.9 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing196
Missing (%)100.0%
Memory size1.9 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing196
Missing (%)100.0%
Memory size1.9 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
188 
0
 
8

Length

Max length4
Median length4
Mean length3.877551
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> 188
95.9%
0 8
 
4.1%

Length

2024-05-11T05:32:02.420864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:32:02.973163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 188
95.9%
0 8
 
4.1%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing196
Missing (%)100.0%
Memory size1.9 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing196
Missing (%)100.0%
Memory size1.9 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing196
Missing (%)100.0%
Memory size1.9 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing196
Missing (%)100.0%
Memory size1.9 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing196
Missing (%)100.0%
Memory size1.9 KiB

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing196
Missing (%)100.0%
Memory size1.9 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03020000CDFF324109201500000120150206<NA>5제외/삭제/전출15전출20221125<NA><NA><NA><NA><NA><NA>서울특별시 용산구 한남동 *** ***호서울특별시 용산구 한남대로**길 **, ***호 (한남동)4420(주)디지털수다2022-11-25 10:10:42U2021-10-31 22:07:00.0<NA>200738.961594447776.598287<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13020000CDFF324109201500000320150302<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 이태원동 **-**번지서울특별시 용산구 녹사평대로**길 ** (이태원동)4392와이엠씨엔터테인먼트 주식회사2018-06-07 14:52:24I2018-08-31 23:59:59.0<NA>199209.244691447676.359851대중문화예술기획업유통관련업<NA><NA>연예인 대리<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23020000CDFF324109201500000820150409<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6010-0778<NA><NA>서울특별시 용산구 한남동 ***-**번지서울특별시 용산구 유엔빌리지길 ** (한남동)4420주식회사 다른별엔터테인먼트2015-05-04 18:53:35I2018-08-31 23:59:59.0<NA>200799.100104447950.371288대중문화예술기획업유통관련업<NA><NA>연예인 매니지먼트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33020000CDFF324109201500000920150409<NA>1영업/정상13영업중<NA><NA><NA><NA>02-517-0248<NA><NA>서울특별시 용산구 한강로*가 **번지 ***동 ****호서울특별시 용산구 한강대로 ***, ***동 ****호 (한강로*가)4322(주)이에이앤씨(EA&C CO.,Ltd.)2015-05-04 19:00:27I2018-08-31 23:59:59.0<NA>197542.687282448325.294355대중문화예술기획업유통관련업<NA><NA>연예인 대리, 매니저, 엔터테인먼트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43020000CDFF324109201500001120150507<NA>5제외/삭제/전출15전출20220428<NA><NA><NA>02-322-1273<NA><NA>서울특별시 용산구 한강로*가 ***-* 지하*층서울특별시 용산구 한강대로 ***, 지하*층 (한강로*가)140011(주)차차차2022-04-28 09:23:15U2021-12-03 21:00:00.0<NA>197451.131492447970.481337<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53020000CDFF324109201500001220150513<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 이태원동 ***-**서울특별시 용산구 이태원로**길 **-** (이태원동)4350(주)문화창고2021-04-21 13:13:45U2021-04-23 02:40:00.0<NA>199326.653229448178.264284대중문화예술기획업유통관련업<NA><NA>엔터테인먼트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63020000CDFF324109201500001320150520<NA>1영업/정상13영업중<NA><NA><NA><NA>02-794-9491<NA><NA>서울특별시 용산구 한남동 ***-*번지 두성빌딩 ***호서울특별시 용산구 대사관로 **, ***호 (한남동, 두성빌딩)4402(주)월드사운드2015-05-20 13:24:10I2018-08-31 23:59:59.0<NA>200270.981735447892.865925대중문화예술기획업유통관련업<NA><NA>엔터테인먼트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73020000CDFF324109201500001520150529<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한남동 ***-*번지 *층서울특별시 용산구 대사관로**길 **-**, *층 (한남동)4409쇼캐스팅2015-05-29 14:18:30I2018-08-31 23:59:59.0<NA>200431.584856447591.105086대중문화예술기획업유통관련업<NA><NA>엔터테인먼트, 인력공급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83020000CDFF324109201500001820150610<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한남동 ***-*번지서울특별시 용산구 한남대로**길 ** (한남동)4417(주)모델리아2015-06-10 17:14:57I2018-08-31 23:59:59.0<NA>200204.909403448987.8726대중문화예술기획업유통관련업<NA><NA>모델 매니지먼트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93020000CDFF324109201500001920150622<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 동빙고동 **-**서울특별시 용산구 서빙고로**길 ** (동빙고동)4397B&B(비엔비)2022-06-13 11:23:03U2021-12-05 23:05:00.0<NA>199610.54379446821.664128<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
1863020000CDFF32410920230000222023-12-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한남동 ***-*** 한남힐사이드 아파트 D동 B***호서울특별시 용산구 한남대로**길 **, D동 B***호 (한남동, 한남힐사이드 아파트)4417주식회사 유승2023-12-12 16:32:28I2022-11-01 23:04:00.0<NA>200425.140039448919.281096<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1873020000CDFF32410920230000232023-12-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한남동 ***-* 제일빌딩 *층 *호서울특별시 용산구 대사관로 **, 제일빌딩 *층 *호 (한남동)4402주식회사 스톡앤스톤드2023-12-20 09:27:01I2022-11-01 22:03:00.0<NA>200455.144016447866.831311<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1883020000CDFF32410920230000242015-05-13<NA>2휴업2휴업<NA>2023-12-212028-12-21<NA><NA><NA><NA>서울특별시 용산구 이촌동 *** 동원베네스트아파트서울특별시 용산구 이촌로**길 * (이촌동, 동원베네스트아파트)4374(주)쇼크리에이티브2023-12-20 17:33:02I2022-11-01 22:03:00.0<NA>195957.617807447188.996847<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1893020000CDFF32410920240000012024-01-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한남동 ***-***서울특별시 용산구 장문로**길 ** (한남동)4411캡틴크루2024-01-11 13:52:27I2023-11-30 23:03:00.0<NA>200385.932855447442.792565<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1903020000CDFF32410920240000022024-01-16<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3785-2628<NA><NA>서울특별시 용산구 한남동 *** 한남아이파크 ***호서울특별시 용산구 독서당로 **, ***호 (한남동, 한남아이파크)4410주식회사 에프엠스토리2024-01-16 09:25:44I2023-11-30 23:08:00.0<NA>200571.725921447793.924059<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1913020000CDFF32410920240000032020-03-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 이태원동 ***-**서울특별시 용산구 이태원로**길 **, *층 (이태원동)4350주식회사 세임사이드컴퍼니2024-03-05 16:04:39U2023-12-03 00:07:00.0<NA>199209.766953448157.343358<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1923020000CDFF32410920240000042024-03-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 이태원동 ***-** *층서울특별시 용산구 이태원로**길 **, *층 (이태원동)4350주식회사 이에스네이션2024-03-05 15:57:36I2023-12-03 00:07:00.0<NA>199209.766953448157.343358<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1933020000CDFF32410920240000052024-03-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 이태원동 **-**서울특별시 용산구 녹사평대로**길 **, *층 (이태원동)4392주식회사 아우라엔터테인먼트2024-03-26 11:03:48I2023-12-02 22:08:00.0<NA>199209.244691447676.359851<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1943020000CDFF32410920240000062024-04-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한강로*가 **-* *층 ***호서울특별시 용산구 한강대로**길 **-*, *층 ***호 (한강로*가)4382엠케이커뮤니케이션즈 주식회사2024-04-25 13:37:38I2023-12-03 22:07:00.0<NA>197447.667363447749.598264<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1953020000CDFF32410920240000072023-11-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한남동 ***-* SWEET CASTLE * 지하*층 ***호서울특별시 용산구 유엔빌리지*길 ***, 지하*층 ***호 (한남동, SWEET CASTLE *)4420주식회사 신바엔터테인먼트2024-05-07 16:57:33I2023-12-05 00:09:00.0<NA>201244.307236448318.580674<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>