Overview

Dataset statistics

Number of variables56
Number of observations1974
Missing cells54967
Missing cells (%)49.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory937.0 KiB
Average record size in memory486.1 B

Variable types

Categorical17
Text7
DateTime6
Unsupported23
Numeric3

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
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-17214/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (99.4%)Imbalance
영업상태코드 is highly imbalanced (60.0%)Imbalance
영업상태명 is highly imbalanced (60.0%)Imbalance
상세영업상태코드 is highly imbalanced (60.0%)Imbalance
상세영업상태명 is highly imbalanced (60.0%)Imbalance
총층수 is highly imbalanced (54.6%)Imbalance
지상층수 is highly imbalanced (54.6%)Imbalance
지하층수 is highly imbalanced (54.6%)Imbalance
통로너비 is highly imbalanced (66.3%)Imbalance
조명시설조도 is highly imbalanced (66.3%)Imbalance
노래방실수 is highly imbalanced (66.3%)Imbalance
청소년실수 is highly imbalanced (66.3%)Imbalance
총게임기수 is highly imbalanced (66.3%)Imbalance
폐업일자 has 1613 (81.7%) missing valuesMissing
휴업시작일자 has 1955 (99.0%) missing valuesMissing
휴업종료일자 has 1955 (99.0%) missing valuesMissing
재개업일자 has 1974 (100.0%) missing valuesMissing
전화번호 has 1460 (74.0%) missing valuesMissing
소재지면적 has 1974 (100.0%) missing valuesMissing
소재지우편번호 has 1974 (100.0%) missing valuesMissing
지번주소 has 77 (3.9%) missing valuesMissing
업태구분명 has 1974 (100.0%) missing valuesMissing
주변환경명 has 1974 (100.0%) missing valuesMissing
제작취급품목내용 has 770 (39.0%) missing valuesMissing
시설면적 has 1735 (87.9%) missing valuesMissing
건물용도명 has 1974 (100.0%) missing valuesMissing
비상계단여부 has 1974 (100.0%) missing valuesMissing
비상구여부 has 1974 (100.0%) missing valuesMissing
자동환기여부 has 1974 (100.0%) missing valuesMissing
청소년실여부 has 1974 (100.0%) missing valuesMissing
특수조명여부 has 1974 (100.0%) missing valuesMissing
방음시설여부 has 1974 (100.0%) missing valuesMissing
비디오재생기명 has 1974 (100.0%) missing valuesMissing
조명시설유무 has 1974 (100.0%) missing valuesMissing
음향시설여부 has 1974 (100.0%) missing valuesMissing
편의시설여부 has 1974 (100.0%) missing valuesMissing
소방시설여부 has 1974 (100.0%) missing valuesMissing
기존게임업외업종명 has 1974 (100.0%) missing valuesMissing
제공게임물명 has 1974 (100.0%) missing valuesMissing
공연장형태구분명 has 1974 (100.0%) missing valuesMissing
품목명 has 1974 (100.0%) missing valuesMissing
최초등록시점 has 1974 (100.0%) missing valuesMissing
지역구분명 has 1974 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
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 183 (9.3%) zerosZeros

Reproduction

Analysis started2024-05-11 05:04:47.808829
Analysis finished2024-05-11 05:04:50.786892
Duration2.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
3220000
1974 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3220000
2nd row3220000
3rd row3220000
4th row3220000
5th row3220000

Common Values

ValueCountFrequency (%)
3220000 1974
100.0%

Length

2024-05-11T05:04:50.996605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:04:51.334796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 1974
100.0%

관리번호
Text

UNIQUE 

Distinct1974
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
2024-05-11T05:04:51.989044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters39480
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

Unique1974 ?
Unique (%)100.0%

Sample

1st rowCDFF3241092014000001
2nd rowCDFF3241092014000002
3rd rowCDFF3241092014000003
4th rowCDFF3241092014000004
5th rowCDFF3241092014000005
ValueCountFrequency (%)
cdff3241092014000001 1
 
0.1%
cdff3241092021000027 1
 
0.1%
cdff3241092021000025 1
 
0.1%
cdff3241092021000024 1
 
0.1%
cdff3241092021000023 1
 
0.1%
cdff3241092021000021 1
 
0.1%
cdff3241092021000020 1
 
0.1%
cdff3241092021000019 1
 
0.1%
cdff3241092021000018 1
 
0.1%
cdff3241092021000017 1
 
0.1%
Other values (1964) 1964
99.5%
2024-05-11T05:04:53.044821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11305
28.6%
2 5563
14.1%
1 4450
 
11.3%
F 3948
 
10.0%
3 2637
 
6.7%
4 2525
 
6.4%
9 2494
 
6.3%
C 1974
 
5.0%
D 1974
 
5.0%
5 964
 
2.4%
Other values (3) 1646
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31584
80.0%
Uppercase Letter 7896
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11305
35.8%
2 5563
17.6%
1 4450
 
14.1%
3 2637
 
8.3%
4 2525
 
8.0%
9 2494
 
7.9%
5 964
 
3.1%
6 583
 
1.8%
7 546
 
1.7%
8 517
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
F 3948
50.0%
C 1974
25.0%
D 1974
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 31584
80.0%
Latin 7896
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11305
35.8%
2 5563
17.6%
1 4450
 
14.1%
3 2637
 
8.3%
4 2525
 
8.0%
9 2494
 
7.9%
5 964
 
3.1%
6 583
 
1.8%
7 546
 
1.7%
8 517
 
1.6%
Latin
ValueCountFrequency (%)
F 3948
50.0%
C 1974
25.0%
D 1974
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39480
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11305
28.6%
2 5563
14.1%
1 4450
 
11.3%
F 3948
 
10.0%
3 2637
 
6.7%
4 2525
 
6.4%
9 2494
 
6.3%
C 1974
 
5.0%
D 1974
 
5.0%
5 964
 
2.4%
Other values (3) 1646
 
4.2%
Distinct807
Distinct (%)40.9%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
Minimum2014-11-04 00:00:00
Maximum2024-05-08 00:00:00
2024-05-11T05:04:53.596523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:04:54.045711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
<NA>
1973 
20151127
 
1

Length

Max length8
Median length4
Mean length4.0020263
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1973
99.9%
20151127 1
 
0.1%

Length

2024-05-11T05:04:54.473412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:04:54.902491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1973
99.9%
20151127 1
 
0.1%

영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
1
1592 
3
260 
5
 
101
2
 
19
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 1592
80.6%
3 260
 
13.2%
5 101
 
5.1%
2 19
 
1.0%
4 2
 
0.1%

Length

2024-05-11T05:04:55.337238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:04:55.742441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1592
80.6%
3 260
 
13.2%
5 101
 
5.1%
2 19
 
1.0%
4 2
 
0.1%

영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
영업/정상
1592 
폐업
260 
제외/삭제/전출
 
101
휴업
 
19
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length4.7386018
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 1592
80.6%
폐업 260
 
13.2%
제외/삭제/전출 101
 
5.1%
휴업 19
 
1.0%
취소/말소/만료/정지/중지 2
 
0.1%

Length

2024-05-11T05:04:56.459677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:04:56.947312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 1592
80.6%
폐업 260
 
13.2%
제외/삭제/전출 101
 
5.1%
휴업 19
 
1.0%
취소/말소/만료/정지/중지 2
 
0.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
13
1592 
3
260 
15
 
101
2
 
19
32
 
2

Length

Max length2
Median length2
Mean length1.8586626
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 1592
80.6%
3 260
 
13.2%
15 101
 
5.1%
2 19
 
1.0%
32 2
 
0.1%

Length

2024-05-11T05:04:57.498937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:04:57.940727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 1592
80.6%
3 260
 
13.2%
15 101
 
5.1%
2 19
 
1.0%
32 2
 
0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
영업중
1592 
폐업
260 
전출
 
101
휴업
 
19
신고취소
 
2

Length

Max length4
Median length3
Mean length2.8085106
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 1592
80.6%
폐업 260
 
13.2%
전출 101
 
5.1%
휴업 19
 
1.0%
신고취소 2
 
0.1%

Length

2024-05-11T05:04:58.674701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:04:59.211141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 1592
80.6%
폐업 260
 
13.2%
전출 101
 
5.1%
휴업 19
 
1.0%
신고취소 2
 
0.1%

폐업일자
Date

MISSING 

Distinct308
Distinct (%)85.3%
Missing1613
Missing (%)81.7%
Memory size15.6 KiB
Minimum2015-11-11 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T05:04:59.775847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:05:00.383118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct19
Distinct (%)100.0%
Missing1955
Missing (%)99.0%
Memory size15.6 KiB
Minimum2015-06-03 00:00:00
Maximum2024-04-30 00:00:00
2024-05-11T05:05:00.766373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:05:01.137612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

휴업종료일자
Date

MISSING 

Distinct19
Distinct (%)100.0%
Missing1955
Missing (%)99.0%
Memory size15.6 KiB
Minimum2015-12-03 00:00:00
Maximum2044-05-30 00:00:00
2024-05-11T05:05:01.583087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:05:02.098852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1974
Missing (%)100.0%
Memory size17.5 KiB

전화번호
Text

MISSING 

Distinct489
Distinct (%)95.1%
Missing1460
Missing (%)74.0%
Memory size15.6 KiB
2024-05-11T05:05:02.817287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.550584
Min length8

Characters and Unicode

Total characters5937
Distinct characters13
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique466 ?
Unique (%)90.7%

Sample

1st row02-571-5882
2nd row02-3447-2500
3rd row02-3448-0178
4th row02-552-5801
5th row02-512-8580
ValueCountFrequency (%)
02-3444-7739 3
 
0.6%
02-546-2321 3
 
0.6%
02-511-7656 2
 
0.4%
02-379-2222 2
 
0.4%
02-576-3467 2
 
0.4%
070-8129-5557 2
 
0.4%
02-548-1560 2
 
0.4%
02-517-4585 2
 
0.4%
02-556-2797 2
 
0.4%
070-8224-3112 2
 
0.4%
Other values (479) 492
95.7%
2024-05-11T05:05:04.528216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 987
16.6%
0 986
16.6%
2 787
13.3%
5 588
9.9%
4 513
8.6%
1 410
6.9%
7 404
6.8%
3 369
 
6.2%
6 331
 
5.6%
8 303
 
5.1%
Other values (3) 259
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4948
83.3%
Dash Punctuation 987
 
16.6%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 986
19.9%
2 787
15.9%
5 588
11.9%
4 513
10.4%
1 410
8.3%
7 404
8.2%
3 369
 
7.5%
6 331
 
6.7%
8 303
 
6.1%
9 257
 
5.2%
Math Symbol
ValueCountFrequency (%)
~ 1
50.0%
= 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 987
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5937
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 987
16.6%
0 986
16.6%
2 787
13.3%
5 588
9.9%
4 513
8.6%
1 410
6.9%
7 404
6.8%
3 369
 
6.2%
6 331
 
5.6%
8 303
 
5.1%
Other values (3) 259
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5937
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 987
16.6%
0 986
16.6%
2 787
13.3%
5 588
9.9%
4 513
8.6%
1 410
6.9%
7 404
6.8%
3 369
 
6.2%
6 331
 
5.6%
8 303
 
5.1%
Other values (3) 259
 
4.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1974
Missing (%)100.0%
Memory size17.5 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1974
Missing (%)100.0%
Memory size17.5 KiB

지번주소
Text

MISSING 

Distinct764
Distinct (%)40.3%
Missing77
Missing (%)3.9%
Memory size15.6 KiB
2024-05-11T05:05:05.143750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length39
Mean length23.265156
Min length15

Characters and Unicode

Total characters44134
Distinct characters360
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

Unique588 ?
Unique (%)31.0%

Sample

1st row서울특별시 강남구 논현동 **번지 논현오피스텔
2nd row서울특별시 강남구 논현동 *-*번지
3rd row서울특별시 강남구 청담동 **-**번지
4th row서울특별시 강남구 논현동 **-**번지
5th row서울특별시 강남구 논현동 *-*
ValueCountFrequency (%)
서울특별시 1897
22.0%
강남구 1895
22.0%
1133
13.1%
번지 756
 
8.8%
논현동 605
 
7.0%
역삼동 365
 
4.2%
신사동 308
 
3.6%
삼성동 271
 
3.1%
청담동 207
 
2.4%
대치동 76
 
0.9%
Other values (577) 1105
12.8%
2024-05-11T05:05:06.428347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 8181
18.5%
7790
17.7%
1961
 
4.4%
1927
 
4.4%
1916
 
4.3%
1908
 
4.3%
1908
 
4.3%
1906
 
4.3%
1898
 
4.3%
1897
 
4.3%
Other values (350) 12842
29.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25898
58.7%
Other Punctuation 8201
 
18.6%
Space Separator 7790
 
17.7%
Dash Punctuation 1684
 
3.8%
Uppercase Letter 282
 
0.6%
Decimal Number 177
 
0.4%
Lowercase Letter 93
 
0.2%
Close Punctuation 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1961
 
7.6%
1927
 
7.4%
1916
 
7.4%
1908
 
7.4%
1908
 
7.4%
1906
 
7.4%
1898
 
7.3%
1897
 
7.3%
1897
 
7.3%
804
 
3.1%
Other values (292) 7876
30.4%
Uppercase Letter
ValueCountFrequency (%)
E 36
12.8%
T 28
 
9.9%
O 21
 
7.4%
A 20
 
7.1%
R 20
 
7.1%
N 17
 
6.0%
I 17
 
6.0%
S 16
 
5.7%
W 12
 
4.3%
M 11
 
3.9%
Other values (14) 84
29.8%
Lowercase Letter
ValueCountFrequency (%)
e 15
16.1%
s 13
14.0%
o 11
11.8%
l 10
10.8%
t 7
7.5%
u 7
7.5%
p 6
 
6.5%
w 5
 
5.4%
i 5
 
5.4%
v 4
 
4.3%
Other values (4) 10
10.8%
Decimal Number
ValueCountFrequency (%)
1 30
16.9%
3 21
11.9%
2 20
11.3%
6 20
11.3%
8 17
9.6%
9 16
9.0%
5 16
9.0%
7 15
8.5%
4 13
7.3%
0 9
 
5.1%
Other Punctuation
ValueCountFrequency (%)
* 8181
99.8%
. 12
 
0.1%
, 5
 
0.1%
& 2
 
< 0.1%
/ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
7790
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1684
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25898
58.7%
Common 17860
40.5%
Latin 376
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1961
 
7.6%
1927
 
7.4%
1916
 
7.4%
1908
 
7.4%
1908
 
7.4%
1906
 
7.4%
1898
 
7.3%
1897
 
7.3%
1897
 
7.3%
804
 
3.1%
Other values (292) 7876
30.4%
Latin
ValueCountFrequency (%)
E 36
 
9.6%
T 28
 
7.4%
O 21
 
5.6%
A 20
 
5.3%
R 20
 
5.3%
N 17
 
4.5%
I 17
 
4.5%
S 16
 
4.3%
e 15
 
4.0%
s 13
 
3.5%
Other values (29) 173
46.0%
Common
ValueCountFrequency (%)
* 8181
45.8%
7790
43.6%
- 1684
 
9.4%
1 30
 
0.2%
3 21
 
0.1%
2 20
 
0.1%
6 20
 
0.1%
8 17
 
0.1%
9 16
 
0.1%
5 16
 
0.1%
Other values (9) 65
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25898
58.7%
ASCII 18235
41.3%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 8181
44.9%
7790
42.7%
- 1684
 
9.2%
E 36
 
0.2%
1 30
 
0.2%
T 28
 
0.2%
3 21
 
0.1%
O 21
 
0.1%
A 20
 
0.1%
R 20
 
0.1%
Other values (47) 404
 
2.2%
Hangul
ValueCountFrequency (%)
1961
 
7.6%
1927
 
7.4%
1916
 
7.4%
1908
 
7.4%
1908
 
7.4%
1906
 
7.4%
1898
 
7.3%
1897
 
7.3%
1897
 
7.3%
804
 
3.1%
Other values (292) 7876
30.4%
Number Forms
ValueCountFrequency (%)
1
100.0%
Distinct1240
Distinct (%)62.8%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
2024-05-11T05:05:07.298900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length49
Mean length32.903749
Min length22

Characters and Unicode

Total characters64952
Distinct characters383
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

Unique984 ?
Unique (%)49.8%

Sample

1st row서울특별시 강남구 학동로**길 ** (논현동)
2nd row서울특별시 강남구 삼성로 *** (청담동)
3rd row서울특별시 강남구 도산대로**길 ** (논현동)
4th row서울특별시 강남구 도산대로**길 **, 논현오피스텔 ***호 (논현동)
5th row서울특별시 강남구 논현로***길 **, *층 (논현동)
ValueCountFrequency (%)
서울특별시 1974
15.5%
강남구 1972
15.5%
1970
15.4%
966
 
7.6%
논현동 630
 
4.9%
539
 
4.2%
역삼동 377
 
3.0%
신사동 325
 
2.5%
삼성동 281
 
2.2%
청담동 217
 
1.7%
Other values (781) 3504
27.5%
2024-05-11T05:05:08.826175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 11276
17.4%
10784
16.6%
2301
 
3.5%
2163
 
3.3%
2145
 
3.3%
2071
 
3.2%
1988
 
3.1%
1984
 
3.1%
1983
 
3.1%
( 1977
 
3.0%
Other values (373) 26280
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36032
55.5%
Other Punctuation 13186
 
20.3%
Space Separator 10784
 
16.6%
Open Punctuation 1977
 
3.0%
Close Punctuation 1977
 
3.0%
Uppercase Letter 404
 
0.6%
Decimal Number 246
 
0.4%
Dash Punctuation 237
 
0.4%
Lowercase Letter 102
 
0.2%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2301
 
6.4%
2163
 
6.0%
2145
 
6.0%
2071
 
5.7%
1988
 
5.5%
1984
 
5.5%
1983
 
5.5%
1976
 
5.5%
1975
 
5.5%
1974
 
5.5%
Other values (309) 15472
42.9%
Uppercase Letter
ValueCountFrequency (%)
B 55
13.6%
E 38
 
9.4%
T 32
 
7.9%
A 31
 
7.7%
O 25
 
6.2%
S 24
 
5.9%
R 22
 
5.4%
N 21
 
5.2%
I 19
 
4.7%
M 15
 
3.7%
Other values (16) 122
30.2%
Lowercase Letter
ValueCountFrequency (%)
e 16
15.7%
s 14
13.7%
o 11
10.8%
l 10
9.8%
u 7
6.9%
t 7
6.9%
p 6
 
5.9%
w 6
 
5.9%
i 5
 
4.9%
v 4
 
3.9%
Other values (7) 16
15.7%
Decimal Number
ValueCountFrequency (%)
1 61
24.8%
2 39
15.9%
4 25
10.2%
3 24
 
9.8%
0 23
 
9.3%
6 20
 
8.1%
7 18
 
7.3%
5 15
 
6.1%
9 11
 
4.5%
8 10
 
4.1%
Other Punctuation
ValueCountFrequency (%)
* 11276
85.5%
, 1893
 
14.4%
. 13
 
0.1%
& 2
 
< 0.1%
/ 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
10784
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1977
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1977
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 237
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Letter Number
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36032
55.5%
Common 28412
43.7%
Latin 508
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2301
 
6.4%
2163
 
6.0%
2145
 
6.0%
2071
 
5.7%
1988
 
5.5%
1984
 
5.5%
1983
 
5.5%
1976
 
5.5%
1975
 
5.5%
1974
 
5.5%
Other values (309) 15472
42.9%
Latin
ValueCountFrequency (%)
B 55
 
10.8%
E 38
 
7.5%
T 32
 
6.3%
A 31
 
6.1%
O 25
 
4.9%
S 24
 
4.7%
R 22
 
4.3%
N 21
 
4.1%
I 19
 
3.7%
e 16
 
3.1%
Other values (34) 225
44.3%
Common
ValueCountFrequency (%)
* 11276
39.7%
10784
38.0%
( 1977
 
7.0%
) 1977
 
7.0%
, 1893
 
6.7%
- 237
 
0.8%
1 61
 
0.2%
2 39
 
0.1%
4 25
 
0.1%
3 24
 
0.1%
Other values (10) 119
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36032
55.5%
ASCII 28918
44.5%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 11276
39.0%
10784
37.3%
( 1977
 
6.8%
) 1977
 
6.8%
, 1893
 
6.5%
- 237
 
0.8%
1 61
 
0.2%
B 55
 
0.2%
2 39
 
0.1%
E 38
 
0.1%
Other values (53) 581
 
2.0%
Hangul
ValueCountFrequency (%)
2301
 
6.4%
2163
 
6.0%
2145
 
6.0%
2071
 
5.7%
1988
 
5.5%
1984
 
5.5%
1983
 
5.5%
1976
 
5.5%
1975
 
5.5%
1974
 
5.5%
Other values (309) 15472
42.9%
Number Forms
ValueCountFrequency (%)
2
100.0%
Distinct292
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
2024-05-11T05:05:09.886788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0460993
Min length5

Characters and Unicode

Total characters9961
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

Unique69 ?
Unique (%)3.5%

Sample

1st row06112
2nd row06067
3rd row06055
4th row06054
5th row06040
ValueCountFrequency (%)
06049 50
 
2.5%
06040 40
 
2.0%
06083 35
 
1.8%
06100 33
 
1.7%
06028 33
 
1.7%
06097 31
 
1.6%
06105 29
 
1.5%
06069 28
 
1.4%
06037 27
 
1.4%
06099 26
 
1.3%
Other values (282) 1642
83.2%
2024-05-11T05:05:11.433647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3373
33.9%
6 2207
22.2%
1 1121
 
11.3%
2 707
 
7.1%
3 642
 
6.4%
5 465
 
4.7%
4 457
 
4.6%
9 413
 
4.1%
7 301
 
3.0%
8 266
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9952
99.9%
Dash Punctuation 9
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3373
33.9%
6 2207
22.2%
1 1121
 
11.3%
2 707
 
7.1%
3 642
 
6.5%
5 465
 
4.7%
4 457
 
4.6%
9 413
 
4.1%
7 301
 
3.0%
8 266
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9961
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3373
33.9%
6 2207
22.2%
1 1121
 
11.3%
2 707
 
7.1%
3 642
 
6.4%
5 465
 
4.7%
4 457
 
4.6%
9 413
 
4.1%
7 301
 
3.0%
8 266
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9961
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3373
33.9%
6 2207
22.2%
1 1121
 
11.3%
2 707
 
7.1%
3 642
 
6.4%
5 465
 
4.7%
4 457
 
4.6%
9 413
 
4.1%
7 301
 
3.0%
8 266
 
2.7%
Distinct1958
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
2024-05-11T05:05:12.241985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length32
Mean length10.430598
Min length2

Characters and Unicode

Total characters20590
Distinct characters628
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1942 ?
Unique (%)98.4%

Sample

1st row(주)제이와이드컴퍼니
2nd row더퀸에이엠씨(주)
3rd row(주)스타커리어엔터테인먼트
4th row희랑엔터테인먼트
5th row황기획
ValueCountFrequency (%)
주식회사 502
 
18.3%
엔터테인먼트 42
 
1.5%
23
 
0.8%
유한회사 10
 
0.4%
entertainment 9
 
0.3%
컴퍼니 9
 
0.3%
에이전시 9
 
0.3%
매니지먼트 9
 
0.3%
group 6
 
0.2%
스튜디오 6
 
0.2%
Other values (2057) 2112
77.2%
2024-05-11T05:05:13.634875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1534
 
7.5%
( 1117
 
5.4%
) 1117
 
5.4%
895
 
4.3%
789
 
3.8%
777
 
3.8%
764
 
3.7%
672
 
3.3%
654
 
3.2%
634
 
3.1%
Other values (618) 11637
56.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16474
80.0%
Open Punctuation 1117
 
5.4%
Close Punctuation 1117
 
5.4%
Space Separator 764
 
3.7%
Lowercase Letter 505
 
2.5%
Uppercase Letter 448
 
2.2%
Decimal Number 98
 
0.5%
Other Punctuation 36
 
0.2%
Other Symbol 25
 
0.1%
Dash Punctuation 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1534
 
9.3%
895
 
5.4%
789
 
4.8%
777
 
4.7%
672
 
4.1%
654
 
4.0%
634
 
3.8%
598
 
3.6%
550
 
3.3%
540
 
3.3%
Other values (548) 8831
53.6%
Lowercase Letter
ValueCountFrequency (%)
n 65
12.9%
t 61
12.1%
e 61
12.1%
o 49
9.7%
i 36
 
7.1%
a 34
 
6.7%
r 32
 
6.3%
s 25
 
5.0%
m 22
 
4.4%
u 20
 
4.0%
Other values (15) 100
19.8%
Uppercase Letter
ValueCountFrequency (%)
E 50
 
11.2%
M 39
 
8.7%
N 30
 
6.7%
A 30
 
6.7%
C 27
 
6.0%
T 27
 
6.0%
O 26
 
5.8%
S 24
 
5.4%
I 21
 
4.7%
L 19
 
4.2%
Other values (15) 155
34.6%
Decimal Number
ValueCountFrequency (%)
2 19
19.4%
1 16
16.3%
0 12
12.2%
6 10
10.2%
3 10
10.2%
4 8
8.2%
5 7
 
7.1%
9 6
 
6.1%
8 5
 
5.1%
7 5
 
5.1%
Other Punctuation
ValueCountFrequency (%)
. 19
52.8%
& 7
 
19.4%
, 6
 
16.7%
' 3
 
8.3%
% 1
 
2.8%
Open Punctuation
ValueCountFrequency (%)
( 1117
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1117
100.0%
Space Separator
ValueCountFrequency (%)
764
100.0%
Other Symbol
ValueCountFrequency (%)
25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16498
80.1%
Common 3138
 
15.2%
Latin 953
 
4.6%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1534
 
9.3%
895
 
5.4%
789
 
4.8%
777
 
4.7%
672
 
4.1%
654
 
4.0%
634
 
3.8%
598
 
3.6%
550
 
3.3%
540
 
3.3%
Other values (548) 8855
53.7%
Latin
ValueCountFrequency (%)
n 65
 
6.8%
t 61
 
6.4%
e 61
 
6.4%
E 50
 
5.2%
o 49
 
5.1%
M 39
 
4.1%
i 36
 
3.8%
a 34
 
3.6%
r 32
 
3.4%
N 30
 
3.1%
Other values (40) 496
52.0%
Common
ValueCountFrequency (%)
( 1117
35.6%
) 1117
35.6%
764
24.3%
2 19
 
0.6%
. 19
 
0.6%
1 16
 
0.5%
0 12
 
0.4%
6 10
 
0.3%
3 10
 
0.3%
4 8
 
0.3%
Other values (9) 46
 
1.5%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16473
80.0%
ASCII 4091
 
19.9%
None 25
 
0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1534
 
9.3%
895
 
5.4%
789
 
4.8%
777
 
4.7%
672
 
4.1%
654
 
4.0%
634
 
3.8%
598
 
3.6%
550
 
3.3%
540
 
3.3%
Other values (547) 8830
53.6%
ASCII
ValueCountFrequency (%)
( 1117
27.3%
) 1117
27.3%
764
18.7%
n 65
 
1.6%
t 61
 
1.5%
e 61
 
1.5%
E 50
 
1.2%
o 49
 
1.2%
M 39
 
1.0%
i 36
 
0.9%
Other values (59) 732
17.9%
None
ValueCountFrequency (%)
25
100.0%
CJK
ValueCountFrequency (%)
1
100.0%
Distinct1945
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
Minimum2015-04-20 11:03:30
Maximum2024-05-09 18:03:46
2024-05-11T05:05:14.273534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:05:14.678895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
I
1161 
U
813 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1161
58.8%
U 813
41.2%

Length

2024-05-11T05:05:15.160131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:05:15.601886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1161
58.8%
u 813
41.2%
Distinct803
Distinct (%)40.7%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T05:05:16.070909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:05:16.644286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1974
Missing (%)100.0%
Memory size17.5 KiB

좌표정보(X)
Real number (ℝ)

Distinct1346
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203350.1
Minimum193064.1
Maximum209205.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-05-11T05:05:17.224506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum193064.1
5-th percentile201851.07
Q1202573.34
median203226.95
Q3203964.89
95-th percentile205271.28
Maximum209205.69
Range16141.586
Interquartile range (IQR)1391.5467

Descriptive statistics

Standard deviation1089.4778
Coefficient of variation (CV)0.005357646
Kurtosis6.2315319
Mean203350.1
Median Absolute Deviation (MAD)673.13141
Skewness0.57658724
Sum4.0141309 × 108
Variance1186961.9
MonotonicityNot monotonic
2024-05-11T05:05:17.792852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205271.275273064 29
 
1.5%
203588.048190661 26
 
1.3%
205079.418138107 23
 
1.2%
202233.376703439 11
 
0.6%
201956.561428209 8
 
0.4%
203014.366380569 8
 
0.4%
201757.105695785 6
 
0.3%
204070.23835948 6
 
0.3%
203691.216575414 6
 
0.3%
202632.445261107 6
 
0.3%
Other values (1336) 1845
93.5%
ValueCountFrequency (%)
193064.102097194 1
 
0.1%
201543.962547061 4
0.2%
201609.62721933 1
 
0.1%
201646.385389914 2
0.1%
201657.313312924 3
0.2%
201663.632445369 1
 
0.1%
201674.796616954 1
 
0.1%
201681.348293082 1
 
0.1%
201686.322988427 1
 
0.1%
201692.242588262 1
 
0.1%
ValueCountFrequency (%)
209205.687910519 1
0.1%
209201.961413428 2
0.1%
209088.967130828 1
0.1%
209009.86408188 1
0.1%
208902.515812609 1
0.1%
208779.369264814 1
0.1%
208564.585 1
0.1%
207584.775824565 1
0.1%
207335.95388083 2
0.1%
207264.192324642 1
0.1%

좌표정보(Y)
Real number (ℝ)

Distinct1346
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean445527.75
Minimum440518.11
Maximum449280.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-05-11T05:05:18.426269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440518.11
5-th percentile443340.3
Q1444869.83
median445744.89
Q3446408.56
95-th percentile447030.7
Maximum449280.98
Range8762.8652
Interquartile range (IQR)1538.722

Descriptive statistics

Standard deviation1206.4411
Coefficient of variation (CV)0.0027078921
Kurtosis1.3451345
Mean445527.75
Median Absolute Deviation (MAD)776.45128
Skewness-1.0550517
Sum8.7947179 × 108
Variance1455500
MonotonicityNot monotonic
2024-05-11T05:05:18.956293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
445852.638814088 29
 
1.5%
446183.368328818 26
 
1.3%
444869.834721154 23
 
1.2%
446247.902496745 11
 
0.6%
445325.198366946 8
 
0.4%
445788.981583052 8
 
0.4%
445748.245178254 6
 
0.3%
445477.407575316 6
 
0.3%
445630.943074822 6
 
0.3%
444024.960364014 6
 
0.3%
Other values (1336) 1845
93.5%
ValueCountFrequency (%)
440518.109999999 1
0.1%
441204.99665215 1
0.1%
441205.716346342 1
0.1%
441271.783645603 1
0.1%
441311.547812513 1
0.1%
441319.173130387 1
0.1%
441340.022014748 1
0.1%
441349.074287866 1
0.1%
441381.88 1
0.1%
441391.29391304 1
0.1%
ValueCountFrequency (%)
449280.97521227 1
0.1%
449252.084807788 1
0.1%
447701.012985942 2
0.1%
447435.475399883 1
0.1%
447375.912372222 1
0.1%
447363.519208839 1
0.1%
447340.53671118 1
0.1%
447323.452648856 1
0.1%
447321.043023883 1
0.1%
447300.24965119 1
0.1%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
대중문화예술기획업
1204 
<NA>
770 

Length

Max length9
Median length9
Mean length7.0496454
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대중문화예술기획업 1204
61.0%
<NA> 770
39.0%

Length

2024-05-11T05:05:19.468925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:05:19.902367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대중문화예술기획업 1204
61.0%
na 770
39.0%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
유통관련업
1204 
<NA>
770 

Length

Max length5
Median length5
Mean length4.6099291
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 1204
61.0%
<NA> 770
39.0%

Length

2024-05-11T05:05:20.428218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:05:20.847116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 1204
61.0%
na 770
39.0%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
<NA>
1786 
0
188 

Length

Max length4
Median length4
Mean length3.7142857
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 1786
90.5%
0 188
 
9.5%

Length

2024-05-11T05:05:21.285066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:05:21.723561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1786
90.5%
0 188
 
9.5%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1974
Missing (%)100.0%
Memory size17.5 KiB
Distinct259
Distinct (%)21.5%
Missing770
Missing (%)39.0%
Memory size15.6 KiB
2024-05-11T05:05:22.409521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length39
Mean length7.3006645
Min length1

Characters and Unicode

Total characters8790
Distinct characters156
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique212 ?
Unique (%)17.6%

Sample

1st row연예매니지먼트
2nd row연예매니지먼트
3rd row연예매니지먼트
4th row연예매니지먼트
5th row연예매니지먼트
ValueCountFrequency (%)
엔터테인먼트 372
23.6%
매니지먼트 318
20.1%
연예매니지먼트 106
 
6.7%
연예인대리 61
 
3.9%
모델에이전시 58
 
3.7%
연예인매니지먼트 46
 
2.9%
40
 
2.5%
공연기획 36
 
2.3%
매니저업 32
 
2.0%
28
 
1.8%
Other values (213) 482
30.5%
2024-05-11T05:05:23.775636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
947
 
10.8%
931
 
10.6%
573
 
6.5%
572
 
6.5%
567
 
6.5%
525
 
6.0%
407
 
4.6%
405
 
4.6%
404
 
4.6%
391
 
4.4%
Other values (146) 3068
34.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8187
93.1%
Space Separator 375
 
4.3%
Other Punctuation 210
 
2.4%
Uppercase Letter 7
 
0.1%
Close Punctuation 5
 
0.1%
Open Punctuation 5
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
947
 
11.6%
931
 
11.4%
573
 
7.0%
572
 
7.0%
567
 
6.9%
525
 
6.4%
407
 
5.0%
405
 
4.9%
404
 
4.9%
391
 
4.8%
Other values (131) 2465
30.1%
Uppercase Letter
ValueCountFrequency (%)
C 1
14.3%
N 1
14.3%
M 1
14.3%
T 1
14.3%
V 1
14.3%
J 1
14.3%
B 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 205
97.6%
/ 3
 
1.4%
? 1
 
0.5%
. 1
 
0.5%
Space Separator
ValueCountFrequency (%)
375
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8187
93.1%
Common 596
 
6.8%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
947
 
11.6%
931
 
11.4%
573
 
7.0%
572
 
7.0%
567
 
6.9%
525
 
6.4%
407
 
5.0%
405
 
4.9%
404
 
4.9%
391
 
4.8%
Other values (131) 2465
30.1%
Common
ValueCountFrequency (%)
375
62.9%
, 205
34.4%
) 5
 
0.8%
( 5
 
0.8%
/ 3
 
0.5%
- 1
 
0.2%
? 1
 
0.2%
. 1
 
0.2%
Latin
ValueCountFrequency (%)
C 1
14.3%
N 1
14.3%
M 1
14.3%
T 1
14.3%
V 1
14.3%
J 1
14.3%
B 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8186
93.1%
ASCII 603
 
6.9%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
947
 
11.6%
931
 
11.4%
573
 
7.0%
572
 
7.0%
567
 
6.9%
525
 
6.4%
407
 
5.0%
405
 
4.9%
404
 
4.9%
391
 
4.8%
Other values (130) 2464
30.1%
ASCII
ValueCountFrequency (%)
375
62.2%
, 205
34.0%
) 5
 
0.8%
( 5
 
0.8%
/ 3
 
0.5%
C 1
 
0.2%
N 1
 
0.2%
M 1
 
0.2%
T 1
 
0.2%
- 1
 
0.2%
Other values (5) 5
 
0.8%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct55
Distinct (%)23.0%
Missing1735
Missing (%)87.9%
Infinite0
Infinite (%)0.0%
Mean35.255607
Minimum0
Maximum1705.78
Zeros183
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-05-11T05:05:24.373145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile188.206
Maximum1705.78
Range1705.78
Interquartile range (IQR)0

Descriptive statistics

Standard deviation129.78546
Coefficient of variation (CV)3.6812715
Kurtosis116.44582
Mean35.255607
Median Absolute Deviation (MAD)0
Skewness9.5238749
Sum8426.09
Variance16844.266
MonotonicityNot monotonic
2024-05-11T05:05:25.196477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 183
 
9.3%
33.0 2
 
0.1%
50.0 2
 
0.1%
162.6 1
 
0.1%
51.33 1
 
0.1%
435.6 1
 
0.1%
24.0 1
 
0.1%
5.0 1
 
0.1%
190.24 1
 
0.1%
86.7 1
 
0.1%
Other values (45) 45
 
2.3%
(Missing) 1735
87.9%
ValueCountFrequency (%)
0.0 183
9.3%
4.2 1
 
0.1%
5.0 1
 
0.1%
5.79 1
 
0.1%
10.09 1
 
0.1%
16.5 1
 
0.1%
24.0 1
 
0.1%
33.0 2
 
0.1%
33.05 1
 
0.1%
34.27 1
 
0.1%
ValueCountFrequency (%)
1705.78 1
0.1%
435.6 1
0.1%
399.88 1
0.1%
367.1 1
0.1%
330.9 1
0.1%
309.06 1
0.1%
246.11 1
0.1%
242.0 1
0.1%
231.4 1
0.1%
225.0 1
0.1%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
<NA>
1786 
0
188 

Length

Max length4
Median length4
Mean length3.7142857
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 1786
90.5%
0 188
 
9.5%

Length

2024-05-11T05:05:25.910311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:05:26.401884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1786
90.5%
0 188
 
9.5%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
<NA>
1786 
0
188 

Length

Max length4
Median length4
Mean length3.7142857
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 1786
90.5%
0 188
 
9.5%

Length

2024-05-11T05:05:26.786141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:05:27.273668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1786
90.5%
0 188
 
9.5%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1974
Missing (%)100.0%
Memory size17.5 KiB

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
<NA>
1851 
0
 
123

Length

Max length4
Median length4
Mean length3.8130699
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> 1851
93.8%
0 123
 
6.2%

Length

2024-05-11T05:05:27.817937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:05:28.244080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1851
93.8%
0 123
 
6.2%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
<NA>
1851 
0
 
123

Length

Max length4
Median length4
Mean length3.8130699
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> 1851
93.8%
0 123
 
6.2%

Length

2024-05-11T05:05:28.685721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:05:29.098132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1851
93.8%
0 123
 
6.2%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
<NA>
1851 
0
 
123

Length

Max length4
Median length4
Mean length3.8130699
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> 1851
93.8%
0 123
 
6.2%

Length

2024-05-11T05:05:29.467625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:05:29.826265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1851
93.8%
0 123
 
6.2%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
<NA>
1851 
0
 
123

Length

Max length4
Median length4
Mean length3.8130699
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> 1851
93.8%
0 123
 
6.2%

Length

2024-05-11T05:05:30.527384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:05:31.095511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1851
93.8%
0 123
 
6.2%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1974
Missing (%)100.0%
Memory size17.5 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1974
Missing (%)100.0%
Memory size17.5 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1974
Missing (%)100.0%
Memory size17.5 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1974
Missing (%)100.0%
Memory size17.5 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1974
Missing (%)100.0%
Memory size17.5 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1974
Missing (%)100.0%
Memory size17.5 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1974
Missing (%)100.0%
Memory size17.5 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1974
Missing (%)100.0%
Memory size17.5 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1974
Missing (%)100.0%
Memory size17.5 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1974
Missing (%)100.0%
Memory size17.5 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1974
Missing (%)100.0%
Memory size17.5 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
<NA>
1851 
0
 
123

Length

Max length4
Median length4
Mean length3.8130699
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> 1851
93.8%
0 123
 
6.2%

Length

2024-05-11T05:05:31.661914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:05:32.229079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1851
93.8%
0 123
 
6.2%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1974
Missing (%)100.0%
Memory size17.5 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1974
Missing (%)100.0%
Memory size17.5 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1974
Missing (%)100.0%
Memory size17.5 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1974
Missing (%)100.0%
Memory size17.5 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1974
Missing (%)100.0%
Memory size17.5 KiB

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1974
Missing (%)100.0%
Memory size17.5 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03220000CDFF32410920140000012014-11-04<NA>1영업/정상13영업중<NA><NA><NA><NA>02-571-5882<NA><NA><NA>서울특별시 강남구 학동로**길 ** (논현동)06112(주)제이와이드컴퍼니2024-04-29 09:33:58U2023-12-05 00:01:00.0<NA>202649.200272445552.706927<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13220000CDFF324109201400000220141105<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3447-2500<NA><NA><NA>서울특별시 강남구 삼성로 *** (청담동)06067더퀸에이엠씨(주)2016-02-24 10:08:40I2018-08-31 23:59:59.0<NA>204184.433119446659.764059대중문화예술기획업유통관련업0<NA>연예매니지먼트0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23220000CDFF324109201400000320141105<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3448-0178<NA><NA><NA>서울특별시 강남구 도산대로**길 ** (논현동)06055(주)스타커리어엔터테인먼트2017-01-19 15:09:33I2018-08-31 23:59:59.0<NA>203262.260203446597.072393대중문화예술기획업유통관련업0<NA>연예매니지먼트0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33220000CDFF324109201400000420141113<NA>3폐업3폐업20191016<NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 **번지 논현오피스텔서울특별시 강남구 도산대로**길 **, 논현오피스텔 ***호 (논현동)06054희랑엔터테인먼트2019-10-16 14:48:27U2019-10-18 02:40:00.0<NA>203173.202357446564.894133대중문화예술기획업유통관련업0<NA>연예매니지먼트0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43220000CDFF324109201400000520141113<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 *-*번지서울특별시 강남구 논현로***길 **, *층 (논현동)06040황기획2016-05-16 09:36:07I2018-08-31 23:59:59.0<NA>202344.518124446263.975597대중문화예술기획업유통관련업0<NA>연예매니지먼트0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53220000CDFF324109201400000620141120<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 청담동 **-**번지서울특별시 강남구 선릉로***길 **-*, *층 (청담동)06065주식회사 별의별2016-12-02 14:03:10I2018-08-31 23:59:59.0<NA>203687.017435446255.67415대중문화예술기획업유통관련업0<NA>연예매니지먼트0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63220000CDFF32410920140000082014-12-04<NA>3폐업3폐업2022-12-27<NA><NA><NA>02-552-5801<NA><NA><NA>서울특별시 강남구 테헤란로**길 *-*, ***호 (역삼동)06132메이크위드2022-12-27 11:00:57U2022-12-04 22:06:00.0<NA>203107.097549444342.472621<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73220000CDFF324109201400000920141212<NA>3폐업3폐업20170825<NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 **-**번지서울특별시 강남구 도산대로**길 *, *층 (논현동, ABS 빌딩)06047모델로에이전시2017-08-29 10:57:07I2018-08-31 23:59:59.0<NA>202532.045757446352.694031대중문화예술기획업유통관련업0<NA>모델에이전시0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83220000CDFF324109201400001020141212<NA>3폐업3폐업20180807<NA><NA><NA>02-512-8580<NA><NA><NA>서울특별시 강남구 테헤란로**길 **, ***호 (역삼동)06211주식회사 위프엔터테인먼트2018-08-07 10:52:16I2018-08-31 23:59:59.0<NA>203984.291258444497.461293대중문화예술기획업유통관련업0<NA>연예매니지먼트0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93220000CDFF32410920140000112014-12-12<NA>3폐업3폐업2023-08-23<NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 *-*서울특별시 강남구 도산대로**길 **, *층 (논현동)06040루앤란 엔터테인먼트2023-08-23 16:26:23U2022-12-07 22:06:00.0<NA>202425.200559446206.480695<NA><NA><NA><NA><NA><NA><NA><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
19643220000CDFF32410920240000602024-05-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 ***-**서울특별시 강남구 테헤란로**길 **, *층 (역삼동)06140필링바이브 주식회사2024-05-01 09:44:32I2023-12-05 00:03:00.0<NA>203240.918405444514.680106<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
19653220000CDFF32410920240000612024-05-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 ***-** 제이에스타워서울특별시 강남구 테헤란로**길 *, 제이에스타워 ***호 (삼성동)06158주식회사 하키엔터테인먼트2024-05-01 10:01:13I2023-12-05 00:03:00.0<NA>204842.620169445010.636361<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
19663220000CDFF32410920240000622024-05-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 **-**서울특별시 강남구 봉은사로**길 **, *층 (삼성동)06094주식회사 비투비컴퍼니2024-05-01 10:25:29I2023-12-05 00:03:00.0<NA>204154.42659445791.429642<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
19673220000CDFF32410920240000632024-05-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 **-**서울특별시 강남구 봉은사로**길 **, *층 (삼성동)06094주식회사 디오디2024-05-01 10:50:03I2023-12-05 00:03:00.0<NA>204154.42659445791.429642<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
19683220000CDFF32410920240000642024-05-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 **-**서울특별시 강남구 논현로***길 ** (논현동)06049(주)매시브크리에이티브2024-05-02 14:25:55I2023-12-05 00:04:00.0<NA>202683.609517446174.139973<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
19693220000CDFF32410920240000652024-05-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 ***-* 이안빌딩서울특별시 강남구 봉은사로**길 **, 이안빌딩 ***호 (역삼동)06126주식회사 저스트코어2024-05-02 14:29:43I2023-12-05 00:04:00.0<NA>202927.338555444833.464537<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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