Overview

Dataset statistics

Number of variables56
Number of observations258
Missing cells6980
Missing cells (%)48.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory123.3 KiB
Average record size in memory489.5 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
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-17195/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (96.3%)Imbalance
휴업종료일자 is highly imbalanced (96.3%)Imbalance
총층수 is highly imbalanced (60.7%)Imbalance
지상층수 is highly imbalanced (60.7%)Imbalance
지하층수 is highly imbalanced (60.7%)Imbalance
통로너비 is highly imbalanced (65.0%)Imbalance
조명시설조도 is highly imbalanced (65.0%)Imbalance
노래방실수 is highly imbalanced (65.0%)Imbalance
청소년실수 is highly imbalanced (65.0%)Imbalance
총게임기수 is highly imbalanced (65.0%)Imbalance
인허가취소일자 has 258 (100.0%) missing valuesMissing
폐업일자 has 198 (76.7%) missing valuesMissing
재개업일자 has 258 (100.0%) missing valuesMissing
전화번호 has 205 (79.5%) missing valuesMissing
소재지면적 has 258 (100.0%) missing valuesMissing
소재지우편번호 has 258 (100.0%) missing valuesMissing
지번주소 has 51 (19.8%) missing valuesMissing
업태구분명 has 258 (100.0%) missing valuesMissing
주변환경명 has 258 (100.0%) missing valuesMissing
제작취급품목내용 has 118 (45.7%) missing valuesMissing
시설면적 has 216 (83.7%) missing valuesMissing
건물용도명 has 258 (100.0%) missing valuesMissing
비상계단여부 has 258 (100.0%) missing valuesMissing
비상구여부 has 258 (100.0%) missing valuesMissing
자동환기여부 has 258 (100.0%) missing valuesMissing
청소년실여부 has 258 (100.0%) missing valuesMissing
특수조명여부 has 258 (100.0%) missing valuesMissing
방음시설여부 has 258 (100.0%) missing valuesMissing
비디오재생기명 has 258 (100.0%) missing valuesMissing
조명시설유무 has 258 (100.0%) missing valuesMissing
음향시설여부 has 258 (100.0%) missing valuesMissing
편의시설여부 has 258 (100.0%) missing valuesMissing
소방시설여부 has 258 (100.0%) missing valuesMissing
기존게임업외업종명 has 258 (100.0%) missing valuesMissing
제공게임물명 has 258 (100.0%) missing valuesMissing
공연장형태구분명 has 258 (100.0%) missing valuesMissing
품목명 has 258 (100.0%) missing valuesMissing
최초등록시점 has 258 (100.0%) missing valuesMissing
지역구분명 has 258 (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 18 (7.0%) zerosZeros

Reproduction

Analysis started2024-04-29 19:12:34.273246
Analysis finished2024-04-29 19:12:35.315745
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
3030000
258 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3030000
2nd row3030000
3rd row3030000
4th row3030000
5th row3030000

Common Values

ValueCountFrequency (%)
3030000 258
100.0%

Length

2024-04-30T04:12:35.412948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:12:35.519357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 258
100.0%

관리번호
Text

UNIQUE 

Distinct258
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-30T04:12:35.706766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters5160
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

Unique258 ?
Unique (%)100.0%

Sample

1st rowCDFF3241092014000001
2nd rowCDFF3241092015000001
3rd rowCDFF3241092015000002
4th rowCDFF3241092015000003
5th rowCDFF3241092015000004
ValueCountFrequency (%)
cdff3241092014000001 1
 
0.4%
cdff3241092022000015 1
 
0.4%
cdff3241092021000011 1
 
0.4%
cdff3241092021000025 1
 
0.4%
cdff3241092021000012 1
 
0.4%
cdff3241092021000013 1
 
0.4%
cdff3241092021000014 1
 
0.4%
cdff3241092021000015 1
 
0.4%
cdff3241092021000016 1
 
0.4%
cdff3241092021000017 1
 
0.4%
Other values (248) 248
96.1%
2024-04-30T04:12:36.090667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1690
32.8%
2 779
15.1%
F 516
 
10.0%
1 499
 
9.7%
3 360
 
7.0%
9 317
 
6.1%
4 307
 
5.9%
C 258
 
5.0%
D 258
 
5.0%
5 50
 
1.0%
Other values (3) 126
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4128
80.0%
Uppercase Letter 1032
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1690
40.9%
2 779
18.9%
1 499
 
12.1%
3 360
 
8.7%
9 317
 
7.7%
4 307
 
7.4%
5 50
 
1.2%
7 44
 
1.1%
8 41
 
1.0%
6 41
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
F 516
50.0%
C 258
25.0%
D 258
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4128
80.0%
Latin 1032
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1690
40.9%
2 779
18.9%
1 499
 
12.1%
3 360
 
8.7%
9 317
 
7.7%
4 307
 
7.4%
5 50
 
1.2%
7 44
 
1.1%
8 41
 
1.0%
6 41
 
1.0%
Latin
ValueCountFrequency (%)
F 516
50.0%
C 258
25.0%
D 258
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5160
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1690
32.8%
2 779
15.1%
F 516
 
10.0%
1 499
 
9.7%
3 360
 
7.0%
9 317
 
6.1%
4 307
 
5.9%
C 258
 
5.0%
D 258
 
5.0%
5 50
 
1.0%
Other values (3) 126
 
2.4%

인허가일자
Date

Distinct206
Distinct (%)79.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2014-10-28 00:00:00
Maximum2024-04-23 00:00:00
2024-04-30T04:12:36.206325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:12:36.310325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing258
Missing (%)100.0%
Memory size2.4 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
1
197 
3
32 
5
28 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
1 197
76.4%
3 32
 
12.4%
5 28
 
10.9%
2 1
 
0.4%

Length

2024-04-30T04:12:36.411676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:12:36.493692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 197
76.4%
3 32
 
12.4%
5 28
 
10.9%
2 1
 
0.4%

영업상태명
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
영업/정상
197 
폐업
32 
제외/삭제/전출
28 
휴업
 
1

Length

Max length8
Median length5
Mean length4.9418605
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 197
76.4%
폐업 32
 
12.4%
제외/삭제/전출 28
 
10.9%
휴업 1
 
0.4%

Length

2024-04-30T04:12:36.587027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:12:36.676488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 197
76.4%
폐업 32
 
12.4%
제외/삭제/전출 28
 
10.9%
휴업 1
 
0.4%

상세영업상태코드
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
13
197 
3
32 
15
28 
2
 
1

Length

Max length2
Median length2
Mean length1.872093
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
13 197
76.4%
3 32
 
12.4%
15 28
 
10.9%
2 1
 
0.4%

Length

2024-04-30T04:12:36.779902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:12:36.862081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 197
76.4%
3 32
 
12.4%
15 28
 
10.9%
2 1
 
0.4%

상세영업상태명
Categorical

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
영업중
197 
폐업
32 
전출
28 
휴업
 
1

Length

Max length3
Median length3
Mean length2.7635659
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 197
76.4%
폐업 32
 
12.4%
전출 28
 
10.9%
휴업 1
 
0.4%

Length

2024-04-30T04:12:36.954369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:12:37.054284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 197
76.4%
폐업 32
 
12.4%
전출 28
 
10.9%
휴업 1
 
0.4%

폐업일자
Date

MISSING 

Distinct56
Distinct (%)93.3%
Missing198
Missing (%)76.7%
Memory size2.1 KiB
Minimum2015-03-06 00:00:00
Maximum2024-03-12 00:00:00
2024-04-30T04:12:37.146731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:12:37.254405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
257 
20190401
 
1

Length

Max length8
Median length4
Mean length4.0155039
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 257
99.6%
20190401 1
 
0.4%

Length

2024-04-30T04:12:37.375998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:12:37.463223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 257
99.6%
20190401 1
 
0.4%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
257 
20210331
 
1

Length

Max length8
Median length4
Mean length4.0155039
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 257
99.6%
20210331 1
 
0.4%

Length

2024-04-30T04:12:37.550007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:12:37.648546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 257
99.6%
20210331 1
 
0.4%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing258
Missing (%)100.0%
Memory size2.4 KiB

전화번호
Text

MISSING 

Distinct51
Distinct (%)96.2%
Missing205
Missing (%)79.5%
Memory size2.1 KiB
2024-04-30T04:12:37.834173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.528302
Min length9

Characters and Unicode

Total characters611
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

Unique49 ?
Unique (%)92.5%

Sample

1st row02-2299-8089
2nd row02-2281-8797
3rd row02-2295-4652
4th row02-464-1247
5th row02-2296-7584
ValueCountFrequency (%)
02-540-2010 2
 
3.8%
02-2641-0345 2
 
3.8%
02-3272-8648 1
 
1.9%
070-7786-0718 1
 
1.9%
02-462-7002 1
 
1.9%
070-4138-1066 1
 
1.9%
02-466-9216 1
 
1.9%
02-6233-6034 1
 
1.9%
02-921-7499 1
 
1.9%
02-2088-7795 1
 
1.9%
Other values (41) 41
77.4%
2024-04-30T04:12:38.154689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 100
16.4%
0 99
16.2%
2 86
14.1%
5 55
9.0%
4 50
8.2%
1 43
7.0%
7 42
6.9%
6 37
 
6.1%
9 36
 
5.9%
8 36
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 511
83.6%
Dash Punctuation 100
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 99
19.4%
2 86
16.8%
5 55
10.8%
4 50
9.8%
1 43
8.4%
7 42
8.2%
6 37
 
7.2%
9 36
 
7.0%
8 36
 
7.0%
3 27
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 611
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 100
16.4%
0 99
16.2%
2 86
14.1%
5 55
9.0%
4 50
8.2%
1 43
7.0%
7 42
6.9%
6 37
 
6.1%
9 36
 
5.9%
8 36
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 611
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 100
16.4%
0 99
16.2%
2 86
14.1%
5 55
9.0%
4 50
8.2%
1 43
7.0%
7 42
6.9%
6 37
 
6.1%
9 36
 
5.9%
8 36
 
5.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing258
Missing (%)100.0%
Memory size2.4 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing258
Missing (%)100.0%
Memory size2.4 KiB

지번주소
Text

MISSING 

Distinct140
Distinct (%)67.6%
Missing51
Missing (%)19.8%
Memory size2.1 KiB
2024-04-30T04:12:38.340180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length39
Mean length28.36715
Min length16

Characters and Unicode

Total characters5872
Distinct characters189
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)50.2%

Sample

1st row서울특별시 성동구 성수동*가 ***-*** 협성빌딩
2nd row서울특별시 성동구 성수동*가 ***-** 성수아카데미타워
3rd row서울특별시 성동구 성수동*가 **-*** ***호
4th row서울특별시 성동구 성수동*가 ***-** 성원상떼뷰오피스텔
5th row서울특별시 성동구 성수동*가 **-***번지 Metamorpho(지식산업센터)
ValueCountFrequency (%)
서울특별시 207
19.7%
성동구 206
19.6%
성수동*가 172
16.3%
172
16.3%
번지 35
 
3.3%
호 21
 
2.0%
서울숲 11
 
1.0%
v 10
 
1.0%
sk 10
 
1.0%
성수아카데미타워 7
 
0.7%
Other values (101) 201
19.1%
2024-04-30T04:12:38.661553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1252
21.3%
932
15.9%
동 425
 
7.2%
성 411
 
7.0%
서 230
 
3.9%
울 230
 
3.9%
시 213
 
3.6%
별 208
 
3.5%
특 207
 
3.5%
구 207
 
3.5%
Other values (179) 1557
26.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3280
55.9%
Other Punctuation 1254
 
21.4%
Space Separator 932
 
15.9%
Dash Punctuation 186
 
3.2%
Uppercase Letter 135
 
2.3%
Lowercase Letter 59
 
1.0%
Decimal Number 12
 
0.2%
Close Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 425
13.0%
성 411
12.5%
서 230
 
7.0%
울 230
 
7.0%
시 213
 
6.5%
별 208
 
6.3%
특 207
 
6.3%
구 207
 
6.3%
수 205
 
6.2%
가 180
 
5.5%
Other values (131) 764
23.3%
Uppercase Letter
ValueCountFrequency (%)
K 18
13.3%
T 15
11.1%
E 11
 
8.1%
R 11
 
8.1%
S 11
 
8.1%
V 10
 
7.4%
O 7
 
5.2%
I 6
 
4.4%
A 6
 
4.4%
F 5
 
3.7%
Other values (11) 35
25.9%
Lowercase Letter
ValueCountFrequency (%)
e 13
22.0%
o 12
20.3%
r 9
15.3%
w 6
10.2%
h 3
 
5.1%
p 3
 
5.1%
m 3
 
5.1%
a 3
 
5.1%
t 3
 
5.1%
y 2
 
3.4%
Decimal Number
ValueCountFrequency (%)
0 3
25.0%
2 2
16.7%
8 2
16.7%
6 2
16.7%
1 1
 
8.3%
5 1
 
8.3%
7 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
* 1252
99.8%
. 2
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 5
83.3%
] 1
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 5
83.3%
[ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
932
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 186
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3280
55.9%
Common 2396
40.8%
Latin 196
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 425
13.0%
성 411
12.5%
서 230
 
7.0%
울 230
 
7.0%
시 213
 
6.5%
별 208
 
6.3%
특 207
 
6.3%
구 207
 
6.3%
수 205
 
6.2%
가 180
 
5.5%
Other values (131) 764
23.3%
Latin
ValueCountFrequency (%)
K 18
 
9.2%
T 15
 
7.7%
e 13
 
6.6%
o 12
 
6.1%
E 11
 
5.6%
R 11
 
5.6%
S 11
 
5.6%
V 10
 
5.1%
r 9
 
4.6%
O 7
 
3.6%
Other values (23) 79
40.3%
Common
ValueCountFrequency (%)
* 1252
52.3%
932
38.9%
- 186
 
7.8%
) 5
 
0.2%
( 5
 
0.2%
0 3
 
0.1%
2 2
 
0.1%
8 2
 
0.1%
6 2
 
0.1%
. 2
 
0.1%
Other values (5) 5
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3280
55.9%
ASCII 2590
44.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1252
48.3%
932
36.0%
- 186
 
7.2%
K 18
 
0.7%
T 15
 
0.6%
e 13
 
0.5%
o 12
 
0.5%
E 11
 
0.4%
R 11
 
0.4%
S 11
 
0.4%
Other values (37) 129
 
5.0%
Hangul
ValueCountFrequency (%)
동 425
13.0%
성 411
12.5%
서 230
 
7.0%
울 230
 
7.0%
시 213
 
6.5%
별 208
 
6.3%
특 207
 
6.3%
구 207
 
6.3%
수 205
 
6.2%
가 180
 
5.5%
Other values (131) 764
23.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

도로명주소
Text

Distinct221
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-30T04:12:38.884511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length48
Mean length38.957364
Min length23

Characters and Unicode

Total characters10051
Distinct characters231
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique195 ?
Unique (%)75.6%

Sample

1st row서울특별시 성동구 아차산로 ** (성수동*가)
2nd row서울특별시 성동구 행당로 *, ***호 (금호동*가, 신세계오피스텔)
3rd row서울특별시 성동구 독서당로**길 **-** (옥수동)
4th row서울특별시 성동구 성수이로 **, 협성빌딩 ***호 (성수동*가)
5th row서울특별시 성동구 한림말길 ** (옥수동)
ValueCountFrequency (%)
261
14.0%
서울특별시 258
13.8%
성동구 257
13.8%
성수동*가 204
 
10.9%
호 157
 
8.4%
층 113
 
6.1%
성수이로 27
 
1.4%
동 22
 
1.2%
왕십리로 16
 
0.9%
서울숲 15
 
0.8%
Other values (206) 537
28.8%
2024-04-30T04:12:39.258605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1821
18.1%
1611
16.0%
성 572
 
5.7%
동 562
 
5.6%
서 319
 
3.2%
, 318
 
3.2%
수 316
 
3.1%
울 304
 
3.0%
시 265
 
2.6%
( 262
 
2.6%
Other values (221) 3701
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5468
54.4%
Other Punctuation 2140
 
21.3%
Space Separator 1611
 
16.0%
Open Punctuation 263
 
2.6%
Close Punctuation 263
 
2.6%
Uppercase Letter 176
 
1.8%
Lowercase Letter 60
 
0.6%
Dash Punctuation 50
 
0.5%
Decimal Number 16
 
0.2%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 572
 
10.5%
동 562
 
10.3%
서 319
 
5.8%
수 316
 
5.8%
울 304
 
5.6%
시 265
 
4.8%
별 259
 
4.7%
특 258
 
4.7%
구 258
 
4.7%
가 230
 
4.2%
Other values (167) 2125
38.9%
Uppercase Letter
ValueCountFrequency (%)
K 21
11.9%
T 19
10.8%
S 16
 
9.1%
E 14
 
8.0%
V 14
 
8.0%
R 13
 
7.4%
B 13
 
7.4%
O 10
 
5.7%
M 7
 
4.0%
A 7
 
4.0%
Other values (11) 42
23.9%
Lowercase Letter
ValueCountFrequency (%)
o 12
20.0%
e 12
20.0%
r 9
15.0%
w 6
10.0%
h 3
 
5.0%
p 3
 
5.0%
m 3
 
5.0%
a 3
 
5.0%
t 3
 
5.0%
l 2
 
3.3%
Other values (4) 4
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 4
25.0%
7 3
18.8%
9 2
12.5%
2 2
12.5%
0 2
12.5%
3 1
 
6.2%
8 1
 
6.2%
4 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
* 1821
85.1%
, 318
 
14.9%
. 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 262
99.6%
[ 1
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 262
99.6%
] 1
 
0.4%
Space Separator
ValueCountFrequency (%)
1611
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5468
54.4%
Common 4345
43.2%
Latin 238
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 572
 
10.5%
동 562
 
10.3%
서 319
 
5.8%
수 316
 
5.8%
울 304
 
5.6%
시 265
 
4.8%
별 259
 
4.7%
특 258
 
4.7%
구 258
 
4.7%
가 230
 
4.2%
Other values (167) 2125
38.9%
Latin
ValueCountFrequency (%)
K 21
 
8.8%
T 19
 
8.0%
S 16
 
6.7%
E 14
 
5.9%
V 14
 
5.9%
R 13
 
5.5%
B 13
 
5.5%
o 12
 
5.0%
e 12
 
5.0%
O 10
 
4.2%
Other values (26) 94
39.5%
Common
ValueCountFrequency (%)
* 1821
41.9%
1611
37.1%
, 318
 
7.3%
( 262
 
6.0%
) 262
 
6.0%
- 50
 
1.2%
1 4
 
0.1%
7 3
 
0.1%
9 2
 
< 0.1%
2 2
 
< 0.1%
Other values (8) 10
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5468
54.4%
ASCII 4581
45.6%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1821
39.8%
1611
35.2%
, 318
 
6.9%
( 262
 
5.7%
) 262
 
5.7%
- 50
 
1.1%
K 21
 
0.5%
T 19
 
0.4%
S 16
 
0.3%
E 14
 
0.3%
Other values (43) 187
 
4.1%
Hangul
ValueCountFrequency (%)
성 572
 
10.5%
동 562
 
10.3%
서 319
 
5.8%
수 316
 
5.8%
울 304
 
5.6%
시 265
 
4.8%
별 259
 
4.7%
특 258
 
4.7%
구 258
 
4.7%
가 230
 
4.2%
Other values (167) 2125
38.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

도로명우편번호
Real number (ℝ)

Distinct63
Distinct (%)24.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5285.2907
Minimum4701
Maximum133838
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-30T04:12:39.394308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4701
5-th percentile4724.25
Q14770.25
median4782
Q34793
95-th percentile4799
Maximum133838
Range129137
Interquartile range (IQR)22.75

Descriptive statistics

Standard deviation8035.7375
Coefficient of variation (CV)1.5203965
Kurtosis257.8371
Mean5285.2907
Median Absolute Deviation (MAD)11
Skewness16.054886
Sum1363605
Variance64573078
MonotonicityNot monotonic
2024-04-30T04:12:39.527419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4793 18
 
7.0%
4782 15
 
5.8%
4781 14
 
5.4%
4778 13
 
5.0%
4790 13
 
5.0%
4799 12
 
4.7%
4797 11
 
4.3%
4783 11
 
4.3%
4779 10
 
3.9%
4794 9
 
3.5%
Other values (53) 132
51.2%
ValueCountFrequency (%)
4701 1
0.4%
4704 1
0.4%
4705 1
0.4%
4707 1
0.4%
4708 1
0.4%
4709 2
0.8%
4710 1
0.4%
4713 1
0.4%
4715 1
0.4%
4716 1
0.4%
ValueCountFrequency (%)
133838 1
 
0.4%
7025 1
 
0.4%
4805 2
 
0.8%
4802 2
 
0.8%
4801 2
 
0.8%
4799 12
4.7%
4798 4
 
1.6%
4797 11
4.3%
4795 6
2.3%
4794 9
3.5%

사업장명
Text

Distinct254
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-30T04:12:39.720395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length23
Mean length10.98062
Min length3

Characters and Unicode

Total characters2833
Distinct characters313
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

Unique250 ?
Unique (%)96.9%

Sample

1st row리 엔터테인먼트
2nd row주식회사 곤엔터테인먼트
3rd row(주)심엔터테인먼트
4th row(주)스타빌리지엔터테인먼트
5th row(주)웨이즈컴퍼니
ValueCountFrequency (%)
주식회사 113
 
26.3%
엔터테인먼트 12
 
2.8%
company 4
 
0.9%
에이스팩토리 3
 
0.7%
주 3
 
0.7%
new 2
 
0.5%
별이든 2
 
0.5%
주)수컴퍼니 2
 
0.5%
주)엔터테인먼트투엠 2
 
0.5%
컴퍼니 2
 
0.5%
Other values (282) 285
66.3%
2024-04-30T04:12:40.050395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 202
 
7.1%
172
 
6.1%
사 121
 
4.3%
이 120
 
4.2%
회 116
 
4.1%
식 113
 
4.0%
트 103
 
3.6%
) 103
 
3.6%
( 102
 
3.6%
엔 87
 
3.1%
Other values (303) 1594
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2271
80.2%
Space Separator 172
 
6.1%
Close Punctuation 103
 
3.6%
Open Punctuation 103
 
3.6%
Uppercase Letter 88
 
3.1%
Lowercase Letter 81
 
2.9%
Decimal Number 8
 
0.3%
Other Punctuation 5
 
0.2%
Other Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 202
 
8.9%
사 121
 
5.3%
이 120
 
5.3%
회 116
 
5.1%
식 113
 
5.0%
트 103
 
4.5%
엔 87
 
3.8%
터 79
 
3.5%
먼 77
 
3.4%
인 76
 
3.3%
Other values (252) 1177
51.8%
Uppercase Letter
ValueCountFrequency (%)
C 9
 
10.2%
L 8
 
9.1%
O 8
 
9.1%
E 8
 
9.1%
M 7
 
8.0%
N 7
 
8.0%
P 5
 
5.7%
Y 5
 
5.7%
A 4
 
4.5%
B 4
 
4.5%
Other values (11) 23
26.1%
Lowercase Letter
ValueCountFrequency (%)
o 13
16.0%
t 9
11.1%
n 8
9.9%
r 7
8.6%
a 7
8.6%
p 6
 
7.4%
e 5
 
6.2%
y 5
 
6.2%
l 3
 
3.7%
u 3
 
3.7%
Other values (7) 15
18.5%
Decimal Number
ValueCountFrequency (%)
2 3
37.5%
3 2
25.0%
0 1
 
12.5%
1 1
 
12.5%
6 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
. 2
40.0%
& 2
40.0%
, 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 102
99.0%
[ 1
 
1.0%
Space Separator
ValueCountFrequency (%)
172
100.0%
Close Punctuation
ValueCountFrequency (%)
) 103
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2273
80.2%
Common 391
 
13.8%
Latin 169
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 202
 
8.9%
사 121
 
5.3%
이 120
 
5.3%
회 116
 
5.1%
식 113
 
5.0%
트 103
 
4.5%
엔 87
 
3.8%
터 79
 
3.5%
먼 77
 
3.4%
인 76
 
3.3%
Other values (253) 1179
51.9%
Latin
ValueCountFrequency (%)
o 13
 
7.7%
t 9
 
5.3%
C 9
 
5.3%
L 8
 
4.7%
O 8
 
4.7%
n 8
 
4.7%
E 8
 
4.7%
M 7
 
4.1%
r 7
 
4.1%
N 7
 
4.1%
Other values (28) 85
50.3%
Common
ValueCountFrequency (%)
172
44.0%
) 103
26.3%
( 102
26.1%
2 3
 
0.8%
. 2
 
0.5%
& 2
 
0.5%
3 2
 
0.5%
0 1
 
0.3%
1 1
 
0.3%
6 1
 
0.3%
Other values (2) 2
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2271
80.2%
ASCII 560
 
19.8%
None 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 202
 
8.9%
사 121
 
5.3%
이 120
 
5.3%
회 116
 
5.1%
식 113
 
5.0%
트 103
 
4.5%
엔 87
 
3.8%
터 79
 
3.5%
먼 77
 
3.4%
인 76
 
3.3%
Other values (252) 1177
51.8%
ASCII
ValueCountFrequency (%)
172
30.7%
) 103
18.4%
( 102
18.2%
o 13
 
2.3%
t 9
 
1.6%
C 9
 
1.6%
L 8
 
1.4%
O 8
 
1.4%
n 8
 
1.4%
E 8
 
1.4%
Other values (40) 120
21.4%
None
ValueCountFrequency (%)
㈜ 2
100.0%

최종수정일자
Date

UNIQUE 

Distinct258
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2015-05-06 17:18:28
Maximum2024-04-24 18:18:16
2024-04-30T04:12:40.339398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:12:40.452553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
I
131 
U
127 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 131
50.8%
U 127
49.2%

Length

2024-04-30T04:12:40.554785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:12:40.638158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 131
50.8%
u 127
49.2%

데이터갱신일자
Date

Distinct190
Distinct (%)73.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:04:00
2024-04-30T04:12:40.740621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:12:40.866453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing258
Missing (%)100.0%
Memory size2.4 KiB

좌표정보(X)
Real number (ℝ)

Distinct165
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean204168.57
Minimum198212.64
Maximum205784.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-30T04:12:40.983641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198212.64
5-th percentile201427.4
Q1203820.23
median204455.38
Q3204895.64
95-th percentile205546.92
Maximum205784.45
Range7571.8074
Interquartile range (IQR)1075.4171

Descriptive statistics

Standard deviation1170.0076
Coefficient of variation (CV)0.0057305961
Kurtosis3.1740296
Mean204168.57
Median Absolute Deviation (MAD)516.74371
Skewness-1.6137032
Sum52675492
Variance1368917.8
MonotonicityNot monotonic
2024-04-30T04:12:41.115780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205039.907145725 11
 
4.3%
204495.650175932 6
 
2.3%
203684.281166499 6
 
2.3%
205638.676388032 5
 
1.9%
204435.871170342 4
 
1.6%
204848.299601913 4
 
1.6%
203924.802039313 4
 
1.6%
205773.876761108 4
 
1.6%
205455.198217331 4
 
1.6%
204743.677915464 4
 
1.6%
Other values (155) 206
79.8%
ValueCountFrequency (%)
198212.63825788 1
0.4%
200782.353831759 2
0.8%
200896.532906303 1
0.4%
200951.206580662 1
0.4%
201043.718532912 1
0.4%
201170.960314149 1
0.4%
201282.924496787 1
0.4%
201312.568506075 1
0.4%
201366.036667659 1
0.4%
201381.261390607 1
0.4%
ValueCountFrequency (%)
205784.445648184 2
 
0.8%
205773.876761108 4
1.6%
205753.852922351 2
 
0.8%
205638.676388032 5
1.9%
205530.726532698 1
 
0.4%
205520.040516932 1
 
0.4%
205490.885726696 1
 
0.4%
205455.198217331 4
1.6%
205442.260811249 1
 
0.4%
205266.060664976 2
 
0.8%

좌표정보(Y)
Real number (ℝ)

Distinct164
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean449335.98
Minimum441694.13
Maximum452063.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-30T04:12:41.267311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441694.13
5-th percentile448667.65
Q1448961.21
median449285.88
Q3449579.22
95-th percentile450857.3
Maximum452063.44
Range10369.313
Interquartile range (IQR)618.01093

Descriptive statistics

Standard deviation777.1219
Coefficient of variation (CV)0.0017294896
Kurtosis37.061191
Mean449335.98
Median Absolute Deviation (MAD)313.80825
Skewness-2.8168811
Sum1.1592868 × 108
Variance603918.45
MonotonicityNot monotonic
2024-04-30T04:12:41.381696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449216.223655036 11
 
4.3%
449280.97521227 6
 
2.3%
449405.611643886 6
 
2.3%
449369.788095658 5
 
1.9%
449050.405043668 4
 
1.6%
448924.655109511 4
 
1.6%
449357.9464135 4
 
1.6%
449810.174315763 4
 
1.6%
449380.832285638 4
 
1.6%
448934.858771073 4
 
1.6%
Other values (154) 206
79.8%
ValueCountFrequency (%)
441694.12764417 1
0.4%
448121.687172695 1
0.4%
448401.981843555 1
0.4%
448435.99620436 1
0.4%
448442.169537274 1
0.4%
448449.876939047 2
0.8%
448571.101404078 1
0.4%
448614.910605472 2
0.8%
448629.800618257 1
0.4%
448641.165627602 1
0.4%
ValueCountFrequency (%)
452063.440192474 1
0.4%
451627.413501739 1
0.4%
451536.680876573 1
0.4%
451507.016072759 1
0.4%
451408.681776138 1
0.4%
451318.851463419 1
0.4%
451289.443566414 1
0.4%
451129.534619118 1
0.4%
451117.741234287 1
0.4%
451106.855353223 2
0.8%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
대중문화예술기획업
140 
<NA>
118 

Length

Max length9
Median length9
Mean length6.7131783
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대중문화예술기획업 140
54.3%
<NA> 118
45.7%

Length

2024-04-30T04:12:41.506898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:12:41.585905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대중문화예술기획업 140
54.3%
na 118
45.7%

문화사업자구분명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
유통관련업
140 
<NA>
118 

Length

Max length5
Median length5
Mean length4.5426357
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 140
54.3%
<NA> 118
45.7%

Length

2024-04-30T04:12:41.677143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:12:41.758811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 140
54.3%
na 118
45.7%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
238 
0
 
20

Length

Max length4
Median length4
Mean length3.7674419
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> 238
92.2%
0 20
 
7.8%

Length

2024-04-30T04:12:41.844548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:12:41.932881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 238
92.2%
0 20
 
7.8%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing258
Missing (%)100.0%
Memory size2.4 KiB

제작취급품목내용
Text

MISSING 

Distinct71
Distinct (%)50.7%
Missing118
Missing (%)45.7%
Memory size2.1 KiB
2024-04-30T04:12:42.137631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length26
Mean length9.2142857
Min length3

Characters and Unicode

Total characters1290
Distinct characters104
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

Unique61 ?
Unique (%)43.6%

Sample

1st row엔터테인먼트
2nd row음반제작, 유통, 콘서트, 방송출연 등
3rd row연예인매니지먼트
4th row연예 매니지먼트
5th row연예 매니지먼트, 대중문화 예술업
ValueCountFrequency (%)
매니지먼트 35
 
14.0%
연예매니지먼트 28
 
11.2%
엔터테인먼트 18
 
7.2%
및 10
 
4.0%
등 9
 
3.6%
공연기획 9
 
3.6%
매니저업 6
 
2.4%
제작 6
 
2.4%
기획 6
 
2.4%
에이전시 4
 
1.6%
Other values (84) 119
47.6%
2024-04-30T04:12:42.519540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
110
 
8.5%
트 101
 
7.8%
먼 97
 
7.5%
매 82
 
6.4%
니 81
 
6.3%
지 73
 
5.7%
연 64
 
5.0%
, 61
 
4.7%
예 50
 
3.9%
인 33
 
2.6%
Other values (94) 538
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1119
86.7%
Space Separator 110
 
8.5%
Other Punctuation 61
 
4.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 101
 
9.0%
먼 97
 
8.7%
매 82
 
7.3%
니 81
 
7.2%
지 73
 
6.5%
연 64
 
5.7%
예 50
 
4.5%
인 33
 
2.9%
업 33
 
2.9%
기 32
 
2.9%
Other values (92) 473
42.3%
Space Separator
ValueCountFrequency (%)
110
100.0%
Other Punctuation
ValueCountFrequency (%)
, 61
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1119
86.7%
Common 171
 
13.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 101
 
9.0%
먼 97
 
8.7%
매 82
 
7.3%
니 81
 
7.2%
지 73
 
6.5%
연 64
 
5.7%
예 50
 
4.5%
인 33
 
2.9%
업 33
 
2.9%
기 32
 
2.9%
Other values (92) 473
42.3%
Common
ValueCountFrequency (%)
110
64.3%
, 61
35.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1119
86.7%
ASCII 171
 
13.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
110
64.3%
, 61
35.7%
Hangul
ValueCountFrequency (%)
트 101
 
9.0%
먼 97
 
8.7%
매 82
 
7.3%
니 81
 
7.2%
지 73
 
6.5%
연 64
 
5.7%
예 50
 
4.5%
인 33
 
2.9%
업 33
 
2.9%
기 32
 
2.9%
Other values (92) 473
42.3%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct22
Distinct (%)52.4%
Missing216
Missing (%)83.7%
Infinite0
Infinite (%)0.0%
Mean40.767143
Minimum0
Maximum207.39
Zeros18
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-04-30T04:12:42.623611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5.94
Q357.87
95-th percentile203.538
Maximum207.39
Range207.39
Interquartile range (IQR)57.87

Descriptive statistics

Standard deviation61.130616
Coefficient of variation (CV)1.499507
Kurtosis2.0564123
Mean40.767143
Median Absolute Deviation (MAD)5.94
Skewness1.7046489
Sum1712.22
Variance3736.9522
MonotonicityNot monotonic
2024-04-30T04:12:42.714242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.0 18
 
7.0%
40.0 3
 
1.2%
3.3 2
 
0.8%
88.0 1
 
0.4%
206.89 1
 
0.4%
22.0 1
 
0.4%
5.28 1
 
0.4%
63.87 1
 
0.4%
81.77 1
 
0.4%
38.88 1
 
0.4%
Other values (12) 12
 
4.7%
(Missing) 216
83.7%
ValueCountFrequency (%)
0.0 18
7.0%
3.3 2
 
0.8%
5.28 1
 
0.4%
6.6 1
 
0.4%
8.0 1
 
0.4%
20.5 1
 
0.4%
22.0 1
 
0.4%
38.88 1
 
0.4%
40.0 3
 
1.2%
40.6 1
 
0.4%
ValueCountFrequency (%)
207.39 1
0.4%
206.89 1
0.4%
206.6 1
0.4%
145.36 1
0.4%
133.94 1
0.4%
130.66 1
0.4%
88.0 1
0.4%
81.77 1
0.4%
67.8 1
0.4%
63.87 1
0.4%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
238 
0
 
20

Length

Max length4
Median length4
Mean length3.7674419
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> 238
92.2%
0 20
 
7.8%

Length

2024-04-30T04:12:42.827587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:12:42.916595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 238
92.2%
0 20
 
7.8%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
238 
0
 
20

Length

Max length4
Median length4
Mean length3.7674419
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> 238
92.2%
0 20
 
7.8%

Length

2024-04-30T04:12:43.012229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:12:43.105700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 238
92.2%
0 20
 
7.8%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing258
Missing (%)100.0%
Memory size2.4 KiB

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
241 
0
 
17

Length

Max length4
Median length4
Mean length3.8023256
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> 241
93.4%
0 17
 
6.6%

Length

2024-04-30T04:12:43.192540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:12:43.277787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 241
93.4%
0 17
 
6.6%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
241 
0
 
17

Length

Max length4
Median length4
Mean length3.8023256
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> 241
93.4%
0 17
 
6.6%

Length

2024-04-30T04:12:43.375408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:12:43.461900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 241
93.4%
0 17
 
6.6%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
241 
0
 
17

Length

Max length4
Median length4
Mean length3.8023256
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> 241
93.4%
0 17
 
6.6%

Length

2024-04-30T04:12:43.566288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:12:43.651933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 241
93.4%
0 17
 
6.6%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
241 
0
 
17

Length

Max length4
Median length4
Mean length3.8023256
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> 241
93.4%
0 17
 
6.6%

Length

2024-04-30T04:12:43.731372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:12:43.808473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 241
93.4%
0 17
 
6.6%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing258
Missing (%)100.0%
Memory size2.4 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing258
Missing (%)100.0%
Memory size2.4 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing258
Missing (%)100.0%
Memory size2.4 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing258
Missing (%)100.0%
Memory size2.4 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing258
Missing (%)100.0%
Memory size2.4 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing258
Missing (%)100.0%
Memory size2.4 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing258
Missing (%)100.0%
Memory size2.4 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing258
Missing (%)100.0%
Memory size2.4 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing258
Missing (%)100.0%
Memory size2.4 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing258
Missing (%)100.0%
Memory size2.4 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing258
Missing (%)100.0%
Memory size2.4 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
241 
0
 
17

Length

Max length4
Median length4
Mean length3.8023256
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> 241
93.4%
0 17
 
6.6%

Length

2024-04-30T04:12:43.890592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:12:43.976133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 241
93.4%
0 17
 
6.6%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing258
Missing (%)100.0%
Memory size2.4 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing258
Missing (%)100.0%
Memory size2.4 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing258
Missing (%)100.0%
Memory size2.4 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing258
Missing (%)100.0%
Memory size2.4 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing258
Missing (%)100.0%
Memory size2.4 KiB

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing258
Missing (%)100.0%
Memory size2.4 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03030000CDFF324109201400000120141028<NA>3폐업3폐업20150306<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 아차산로 ** (성수동*가)4793리 엔터테인먼트2015-12-30 13:25:11I2018-08-31 23:59:59.0<NA>204674.690777449257.766446대중문화예술기획업유통관련업<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>
13030000CDFF324109201500000120150130<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 행당로 *, ***호 (금호동*가, 신세계오피스텔)4727주식회사 곤엔터테인먼트2016-03-28 17:07:14I2018-08-31 23:59:59.0<NA>201761.648515450244.27331대중문화예술기획업유통관련업<NA><NA>음반제작, 유통, 콘서트, 방송출연 등<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23030000CDFF324109201500000220150130<NA>3폐업3폐업20151016<NA><NA><NA>02-2299-8089<NA><NA><NA>서울특별시 성동구 독서당로**길 **-** (옥수동)4732(주)심엔터테인먼트2015-12-30 13:53:59I2018-08-31 23:59:59.0<NA>200782.353832448769.04985대중문화예술기획업유통관련업<NA><NA>연예인매니지먼트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33030000CDFF32410920150000032015-03-06<NA>3폐업3폐업2023-10-19<NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-*** 협성빌딩서울특별시 성동구 성수이로 **, 협성빌딩 ***호 (성수동*가)4781(주)스타빌리지엔터테인먼트2023-10-20 10:42:27U2022-10-30 22:02:00.0<NA>204835.535359448752.958352<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43030000CDFF324109201500000420150312<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 한림말길 ** (옥수동)4735(주)웨이즈컴퍼니2015-08-10 15:46:15I2018-08-31 23:59:59.0<NA>201415.078806448807.059027대중문화예술기획업유통관련업<NA><NA>연예 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>
53030000CDFF324109201500000520150401<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성덕정길 **-*, ***호 (성수동*가, 성수빌딩)4775지호 엔터테인먼트2016-04-28 09:22:20I2018-08-31 23:59:59.0<NA>204391.698322448449.876939대중문화예술기획업유통관련업<NA><NA>연예 매니지먼트, 대중문화 예술업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63030000CDFF324109201500000620150402<NA>3폐업3폐업20200804<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 독서당로 *** (금호동*가)4725DCT Entertainment2020-08-04 17:35:58U2020-08-06 02:40:00.0<NA>201542.278124449344.163152대중문화예술기획업유통관련업<NA><NA>음반기획, 공연기획, 엔터테인먼트업, 기타 예술관련 사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73030000CDFF324109201500000820150506<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수이로 ***, ****호 (성수동*가)4797(주)케이오오케이엔터테인먼트2015-05-06 17:18:28I2018-08-31 23:59:59.0<NA>205039.907146449216.223655대중문화예술기획업유통관련업<NA><NA>문화컨텐츠사업, 매니지먼트 등<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83030000CDFF324109201500000920150520<NA>3폐업3폐업20160602<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수일로*길 *, ****호 (성수동*가)4793에이치엠엔터테인먼트 주식회사2016-06-02 20:48:17I2018-08-31 23:59:59.0<NA>204495.650176449405.611644대중문화예술기획업유통관련업<NA><NA>연예매니지먼트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93030000CDFF324109201500001420150618<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 왕십리로 *** (행당동)4745리퀴드뮤직컴퍼니2015-06-18 08:02:26I2018-08-31 23:59:59.0<NA>203353.475522450634.473989대중문화예술기획업유통관련업<NA><NA>음원 음반기획 제작 및 연예매니지먼트<NA><NA><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
2483030000CDFF32410920240000052021-04-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 **-** 이에스에이리버하우스서울특별시 성동구 광나루로 ***, 이에스에이리버하우스 B동 ***호 (성수동*가)4791주식회사 퓨처패스포트2024-02-05 10:59:15U2023-12-02 00:07:00.0<NA>204435.87117449810.174316<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2493030000CDFF32410920240000062024-02-06<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8670-0939<NA><NA>서울특별시 성동구 송정동 **-***서울특별시 성동구 광나루로**길 **, *층 (송정동)4801주식회사 아이엠포텐2024-02-13 09:27:32U2023-12-01 23:05:00.0<NA>205753.852922449660.553199<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2503030000CDFF32410920240000072024-02-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-** 성수아카데미타워서울특별시 성동구 성수이로 ***, 성수아카데미타워 **층 ****호 (성수동*가)4797(주)마스크스튜디오2024-02-06 18:34:53I2023-12-02 00:08:00.0<NA>205039.907146449216.223655<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2513030000CDFF32410920240000082024-02-29<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7786-0718<NA><NA>서울특별시 성동구 성수동*가 *** 성수 SK V* CENTER I서울특별시 성동구 아차산로**길 **, 성수 SK V* CENTER I ***호 (성수동*가)4799주식회사 위해브2024-02-29 10:21:06I2023-12-03 00:02:00.0<NA>205773.876761449380.832286<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2523030000CDFF32410920240000092020-01-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-** UHAN TOWER(유한타워)서울특별시 성동구 성수일로 **, 유한타워 *층 (성수동*가)4779주식회사 윙크컴퍼니2024-03-20 18:20:22I2023-12-02 22:02:00.0<NA>204227.393921448904.13736<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2533030000CDFF32410920240000102021-08-04<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3272-8648<NA><NA>서울특별시 성동구 성수동*가 *** 성수 SK V* CENTER I서울특별시 성동구 아차산로**길 **, 성수 SK V* CENTER I **층 ****호 (성수동*가)4799(주)엔터테인먼트투엠2024-03-20 18:32:15I2023-12-02 22:02:00.0<NA>205773.876761449380.832286<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2543030000CDFF32410920240000112024-04-02<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4138-1066<NA><NA>서울특별시 성동구 성수동*가 ***-** 스탈릿성수서울특별시 성동구 아차산로 ***, ***호 (성수동*가)4782(주)스포트라이트글로벌2024-04-02 17:52:24I2023-12-04 00:04:00.0<NA>204827.433052449134.994666<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2553030000CDFF32410920240000122024-04-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 *** 서울숲 드림타워서울특별시 성동구 성수이로 **, 서울숲드림타워 B***, B***, B***호 (성수동*가)4784주식회사 컬쳐제이2024-04-12 15:24:20I2023-12-03 23:04:00.0<NA>204895.642528448701.401452<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2563030000CDFF32410920240000132024-04-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-** 상상플래닛서울특별시 성동구 뚝섬로**길 **, 상상플래닛 ***호 (성수동*가)4785주식회사 굿워크랩2024-04-22 13:44:37I2023-12-03 22:04:00.0<NA>205073.476044448797.516375<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2573030000CDFF32410920240000142024-04-23<NA>1영업/정상13영업중<NA><NA><NA><NA>1644-2579<NA><NA>서울특별시 성동구 성수동*가 ***-* 성문빌딩서울특별시 성동구 성수이로 **, 성문빌딩 **층 (성수동*가)4782주식회사 두리안서비스2024-04-23 18:15:35I2023-12-03 22:05:00.0<NA>204902.393695448952.157254<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>