Overview

Dataset statistics

Number of variables56
Number of observations705
Missing cells20280
Missing cells (%)51.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory334.7 KiB
Average record size in memory486.2 B

Variable types

Categorical16
Text7
DateTime6
Unsupported24
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
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-17205/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (54.5%)Imbalance
영업상태명 is highly imbalanced (54.5%)Imbalance
상세영업상태코드 is highly imbalanced (54.5%)Imbalance
상세영업상태명 is highly imbalanced (54.5%)Imbalance
총층수 is highly imbalanced (66.3%)Imbalance
지상층수 is highly imbalanced (66.3%)Imbalance
지하층수 is highly imbalanced (66.3%)Imbalance
통로너비 is highly imbalanced (68.0%)Imbalance
조명시설조도 is highly imbalanced (68.0%)Imbalance
노래방실수 is highly imbalanced (68.0%)Imbalance
청소년실수 is highly imbalanced (68.0%)Imbalance
총게임기수 is highly imbalanced (68.0%)Imbalance
인허가취소일자 has 705 (100.0%) missing valuesMissing
폐업일자 has 579 (82.1%) missing valuesMissing
휴업시작일자 has 699 (99.1%) missing valuesMissing
휴업종료일자 has 699 (99.1%) missing valuesMissing
재개업일자 has 705 (100.0%) missing valuesMissing
전화번호 has 471 (66.8%) missing valuesMissing
소재지면적 has 705 (100.0%) missing valuesMissing
소재지우편번호 has 705 (100.0%) missing valuesMissing
업태구분명 has 705 (100.0%) missing valuesMissing
주변환경명 has 705 (100.0%) missing valuesMissing
제작취급품목내용 has 265 (37.6%) missing valuesMissing
시설면적 has 643 (91.2%) missing valuesMissing
건물용도명 has 705 (100.0%) missing valuesMissing
비상계단여부 has 705 (100.0%) missing valuesMissing
비상구여부 has 705 (100.0%) missing valuesMissing
자동환기여부 has 705 (100.0%) missing valuesMissing
청소년실여부 has 705 (100.0%) missing valuesMissing
특수조명여부 has 705 (100.0%) missing valuesMissing
방음시설여부 has 705 (100.0%) missing valuesMissing
비디오재생기명 has 705 (100.0%) missing valuesMissing
조명시설유무 has 705 (100.0%) missing valuesMissing
음향시설여부 has 705 (100.0%) missing valuesMissing
편의시설여부 has 705 (100.0%) missing valuesMissing
소방시설여부 has 705 (100.0%) missing valuesMissing
기존게임업외업종명 has 705 (100.0%) missing valuesMissing
제공게임물명 has 705 (100.0%) missing valuesMissing
공연장형태구분명 has 705 (100.0%) missing valuesMissing
품목명 has 705 (100.0%) missing valuesMissing
최초등록시점 has 705 (100.0%) missing valuesMissing
지역구분명 has 705 (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 42 (6.0%) zerosZeros

Reproduction

Analysis started2024-05-11 06:07:59.848053
Analysis finished2024-05-11 06:08:01.396952
Duration1.55 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
3130000
705 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3130000
2nd row3130000
3rd row3130000
4th row3130000
5th row3130000

Common Values

ValueCountFrequency (%)
3130000 705
100.0%

Length

2024-05-11T15:08:01.503830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:01.661177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 705
100.0%

관리번호
Text

UNIQUE 

Distinct705
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2024-05-11T15:08:01.919605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters14100
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

Unique705 ?
Unique (%)100.0%

Sample

1st rowCDFF3241092014000002
2nd rowCDFF3241092015000003
3rd rowCDFF3241092015000009
4th rowCDFF3241092015000010
5th rowCDFF3241092015000015
ValueCountFrequency (%)
cdff3241092014000002 1
 
0.1%
cdff3241092019000038 1
 
0.1%
cdff3241092021000017 1
 
0.1%
cdff3241092021000008 1
 
0.1%
cdff3241092021000009 1
 
0.1%
cdff3241092021000010 1
 
0.1%
cdff3241092021000011 1
 
0.1%
cdff3241092021000013 1
 
0.1%
cdff3241092021000014 1
 
0.1%
cdff3241092021000015 1
 
0.1%
Other values (695) 695
98.6%
2024-05-11T15:08:02.451663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4336
30.8%
2 2022
14.3%
F 1410
 
10.0%
1 1410
 
10.0%
3 934
 
6.6%
4 899
 
6.4%
9 859
 
6.1%
C 705
 
5.0%
D 705
 
5.0%
5 332
 
2.4%
Other values (3) 488
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11280
80.0%
Uppercase Letter 2820
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4336
38.4%
2 2022
17.9%
1 1410
 
12.5%
3 934
 
8.3%
4 899
 
8.0%
9 859
 
7.6%
5 332
 
2.9%
6 187
 
1.7%
7 158
 
1.4%
8 143
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
F 1410
50.0%
C 705
25.0%
D 705
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11280
80.0%
Latin 2820
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4336
38.4%
2 2022
17.9%
1 1410
 
12.5%
3 934
 
8.3%
4 899
 
8.0%
9 859
 
7.6%
5 332
 
2.9%
6 187
 
1.7%
7 158
 
1.4%
8 143
 
1.3%
Latin
ValueCountFrequency (%)
F 1410
50.0%
C 705
25.0%
D 705
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4336
30.8%
2 2022
14.3%
F 1410
 
10.0%
1 1410
 
10.0%
3 934
 
6.6%
4 899
 
6.4%
9 859
 
6.1%
C 705
 
5.0%
D 705
 
5.0%
5 332
 
2.4%
Other values (3) 488
 
3.5%

인허가일자
Date

Distinct462
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
Minimum2014-12-26 00:00:00
Maximum2024-05-07 00:00:00
2024-05-11T15:08:02.679809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:08:02.895440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing705
Missing (%)100.0%
Memory size6.3 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
1
573 
3
84 
5
 
42
2
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 573
81.3%
3 84
 
11.9%
5 42
 
6.0%
2 6
 
0.9%

Length

2024-05-11T15:08:03.120967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:03.321712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 573
81.3%
3 84
 
11.9%
5 42
 
6.0%
2 6
 
0.9%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
영업/정상
573 
폐업
84 
제외/삭제/전출
 
42
휴업
 
6

Length

Max length8
Median length5
Mean length4.7957447
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 573
81.3%
폐업 84
 
11.9%
제외/삭제/전출 42
 
6.0%
휴업 6
 
0.9%

Length

2024-05-11T15:08:03.529465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:03.731897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 573
81.3%
폐업 84
 
11.9%
제외/삭제/전출 42
 
6.0%
휴업 6
 
0.9%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
13
573 
3
84 
15
 
42
2
 
6

Length

Max length2
Median length2
Mean length1.8723404
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 573
81.3%
3 84
 
11.9%
15 42
 
6.0%
2 6
 
0.9%

Length

2024-05-11T15:08:04.241928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:04.416596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 573
81.3%
3 84
 
11.9%
15 42
 
6.0%
2 6
 
0.9%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
영업중
573 
폐업
84 
전출
 
42
휴업
 
6

Length

Max length3
Median length3
Mean length2.812766
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 573
81.3%
폐업 84
 
11.9%
전출 42
 
6.0%
휴업 6
 
0.9%

Length

2024-05-11T15:08:04.725743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:04.900119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 573
81.3%
폐업 84
 
11.9%
전출 42
 
6.0%
휴업 6
 
0.9%

폐업일자
Date

MISSING 

Distinct117
Distinct (%)92.9%
Missing579
Missing (%)82.1%
Memory size5.6 KiB
Minimum2015-12-22 00:00:00
Maximum2024-04-26 00:00:00
2024-05-11T15:08:05.085912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:08:05.360002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct6
Distinct (%)100.0%
Missing699
Missing (%)99.1%
Memory size5.6 KiB
Minimum2019-11-01 00:00:00
Maximum2024-02-19 00:00:00
2024-05-11T15:08:05.617499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:08:05.819612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

휴업종료일자
Date

MISSING 

Distinct6
Distinct (%)100.0%
Missing699
Missing (%)99.1%
Memory size5.6 KiB
Minimum2020-11-01 00:00:00
Maximum2034-02-19 00:00:00
2024-05-11T15:08:05.990153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:08:06.135203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing705
Missing (%)100.0%
Memory size6.3 KiB

전화번호
Text

MISSING 

Distinct224
Distinct (%)95.7%
Missing471
Missing (%)66.8%
Memory size5.6 KiB
2024-05-11T15:08:06.517658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.606838
Min length8

Characters and Unicode

Total characters2716
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique214 ?
Unique (%)91.5%

Sample

1st row02)333-1031~2
2nd row070-7854-6433
3rd row02)336-5422
4th row02)6393-4512
5th row02-322-8487
ValueCountFrequency (%)
02-2644-0852 2
 
0.9%
070-4176-3311 2
 
0.9%
02-325-6071 2
 
0.9%
02-567-0870 2
 
0.9%
070-4240-9326 2
 
0.9%
02-702-3655 2
 
0.9%
02-501-8678 2
 
0.9%
070-7500-1072 2
 
0.9%
02-3144-1740 2
 
0.9%
02-3490-9300 2
 
0.9%
Other values (215) 215
91.5%
2024-05-11T15:08:07.101088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 452
16.6%
0 448
16.5%
2 367
13.5%
3 289
10.6%
7 234
8.6%
5 181
6.7%
1 181
6.7%
6 168
 
6.2%
4 143
 
5.3%
8 138
 
5.1%
Other values (4) 115
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2255
83.0%
Dash Punctuation 452
 
16.6%
Close Punctuation 6
 
0.2%
Math Symbol 2
 
0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 448
19.9%
2 367
16.3%
3 289
12.8%
7 234
10.4%
5 181
8.0%
1 181
8.0%
6 168
 
7.5%
4 143
 
6.3%
8 138
 
6.1%
9 106
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 452
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2716
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 452
16.6%
0 448
16.5%
2 367
13.5%
3 289
10.6%
7 234
8.6%
5 181
6.7%
1 181
6.7%
6 168
 
6.2%
4 143
 
5.3%
8 138
 
5.1%
Other values (4) 115
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2716
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 452
16.6%
0 448
16.5%
2 367
13.5%
3 289
10.6%
7 234
8.6%
5 181
6.7%
1 181
6.7%
6 168
 
6.2%
4 143
 
5.3%
8 138
 
5.1%
Other values (4) 115
 
4.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing705
Missing (%)100.0%
Memory size6.3 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing705
Missing (%)100.0%
Memory size6.3 KiB

지번주소
Text

Distinct394
Distinct (%)55.9%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2024-05-11T15:08:07.469464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length37
Mean length24.368794
Min length16

Characters and Unicode

Total characters17180
Distinct characters268
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

Unique302 ?
Unique (%)42.8%

Sample

1st row서울특별시 마포구 서교동 ***-**번지 *층
2nd row서울특별시 마포구 서교동 ***-**
3rd row서울특별시 마포구 성산동 ***-* 이안상암Ⅱ
4th row서울특별시 마포구 마포동 **-*번지 현대빌딩 ***호
5th row서울특별시 마포구 서교동 ***-**번지 *층
ValueCountFrequency (%)
서울특별시 705
21.4%
마포구 705
21.4%
379
11.5%
번지 310
9.4%
서교동 207
 
6.3%
성산동 85
 
2.6%
상암동 84
 
2.5%
합정동 78
 
2.4%
호 63
 
1.9%
망원동 50
 
1.5%
Other values (266) 634
19.2%
2024-05-11T15:08:08.155817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 3279
19.1%
3002
17.5%
서 933
 
5.4%
동 778
 
4.5%
마 726
 
4.2%
포 722
 
4.2%
시 714
 
4.2%
울 711
 
4.1%
구 709
 
4.1%
특 707
 
4.1%
Other values (258) 4899
28.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9931
57.8%
Other Punctuation 3287
 
19.1%
Space Separator 3002
 
17.5%
Dash Punctuation 594
 
3.5%
Uppercase Letter 218
 
1.3%
Decimal Number 92
 
0.5%
Lowercase Letter 47
 
0.3%
Open Punctuation 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 933
 
9.4%
동 778
 
7.8%
마 726
 
7.3%
포 722
 
7.3%
시 714
 
7.2%
울 711
 
7.2%
구 709
 
7.1%
특 707
 
7.1%
별 706
 
7.1%
지 358
 
3.6%
Other values (202) 2867
28.9%
Uppercase Letter
ValueCountFrequency (%)
M 30
13.8%
C 27
12.4%
D 23
 
10.6%
B 14
 
6.4%
O 12
 
5.5%
E 12
 
5.5%
S 11
 
5.0%
L 10
 
4.6%
R 10
 
4.6%
T 10
 
4.6%
Other values (12) 59
27.1%
Lowercase Letter
ValueCountFrequency (%)
e 8
17.0%
h 6
12.8%
u 5
10.6%
i 4
8.5%
o 4
8.5%
n 4
8.5%
s 3
 
6.4%
t 3
 
6.4%
y 2
 
4.3%
a 2
 
4.3%
Other values (6) 6
12.8%
Decimal Number
ValueCountFrequency (%)
1 16
17.4%
3 14
15.2%
0 12
13.0%
4 12
13.0%
2 10
10.9%
5 9
9.8%
6 7
7.6%
7 6
 
6.5%
9 3
 
3.3%
8 3
 
3.3%
Other Punctuation
ValueCountFrequency (%)
* 3279
99.8%
, 6
 
0.2%
. 2
 
0.1%
Space Separator
ValueCountFrequency (%)
3002
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 594
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9931
57.8%
Common 6983
40.6%
Latin 266
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 933
 
9.4%
동 778
 
7.8%
마 726
 
7.3%
포 722
 
7.3%
시 714
 
7.2%
울 711
 
7.2%
구 709
 
7.1%
특 707
 
7.1%
별 706
 
7.1%
지 358
 
3.6%
Other values (202) 2867
28.9%
Latin
ValueCountFrequency (%)
M 30
 
11.3%
C 27
 
10.2%
D 23
 
8.6%
B 14
 
5.3%
O 12
 
4.5%
E 12
 
4.5%
S 11
 
4.1%
L 10
 
3.8%
R 10
 
3.8%
T 10
 
3.8%
Other values (29) 107
40.2%
Common
ValueCountFrequency (%)
* 3279
47.0%
3002
43.0%
- 594
 
8.5%
1 16
 
0.2%
3 14
 
0.2%
0 12
 
0.2%
4 12
 
0.2%
2 10
 
0.1%
5 9
 
0.1%
6 7
 
0.1%
Other values (7) 28
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9931
57.8%
ASCII 7248
42.2%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 3279
45.2%
3002
41.4%
- 594
 
8.2%
M 30
 
0.4%
C 27
 
0.4%
D 23
 
0.3%
1 16
 
0.2%
B 14
 
0.2%
3 14
 
0.2%
O 12
 
0.2%
Other values (45) 237
 
3.3%
Hangul
ValueCountFrequency (%)
서 933
 
9.4%
동 778
 
7.8%
마 726
 
7.3%
포 722
 
7.3%
시 714
 
7.2%
울 711
 
7.2%
구 709
 
7.1%
특 707
 
7.1%
별 706
 
7.1%
지 358
 
3.6%
Other values (202) 2867
28.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명주소
Text

Distinct581
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2024-05-11T15:08:08.639624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length50
Mean length33.67234
Min length22

Characters and Unicode

Total characters23739
Distinct characters301
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

Unique499 ?
Unique (%)70.8%

Sample

1st row서울특별시 마포구 잔다리로 ***, *층 (서교동)
2nd row서울특별시 마포구 동교로 ***, *층 (서교동)
3rd row서울특별시 마포구 월드컵로 ***, 이안상암Ⅱ (성산동)
4th row서울특별시 마포구 마포대로 **, ***호 (마포동, 현대빌딩)
5th row서울특별시 마포구 와우산로**길 **-**, *층 (서교동)
ValueCountFrequency (%)
서울특별시 705
14.9%
마포구 705
14.9%
693
14.7%
층 376
 
8.0%
호 232
 
4.9%
서교동 208
 
4.4%
성산동 85
 
1.8%
상암동 84
 
1.8%
합정동 78
 
1.7%
월드컵북로 64
 
1.4%
Other values (433) 1488
31.5%
2024-05-11T15:08:09.432390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4013
16.9%
* 3560
 
15.0%
서 944
 
4.0%
동 872
 
3.7%
, 790
 
3.3%
마 776
 
3.3%
포 755
 
3.2%
울 735
 
3.1%
시 714
 
3.0%
구 713
 
3.0%
Other values (291) 9867
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13421
56.5%
Other Punctuation 4353
 
18.3%
Space Separator 4013
 
16.9%
Open Punctuation 709
 
3.0%
Close Punctuation 709
 
3.0%
Uppercase Letter 247
 
1.0%
Dash Punctuation 137
 
0.6%
Decimal Number 92
 
0.4%
Lowercase Letter 56
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 944
 
7.0%
동 872
 
6.5%
마 776
 
5.8%
포 755
 
5.6%
울 735
 
5.5%
시 714
 
5.3%
구 713
 
5.3%
특 709
 
5.3%
별 706
 
5.3%
로 688
 
5.1%
Other values (234) 5809
43.3%
Uppercase Letter
ValueCountFrequency (%)
C 35
14.2%
M 30
12.1%
B 29
11.7%
D 28
11.3%
S 16
 
6.5%
T 11
 
4.5%
A 11
 
4.5%
O 11
 
4.5%
R 10
 
4.0%
L 9
 
3.6%
Other values (12) 57
23.1%
Lowercase Letter
ValueCountFrequency (%)
e 9
16.1%
h 8
14.3%
o 6
10.7%
u 6
10.7%
n 5
8.9%
s 4
7.1%
i 4
7.1%
t 3
 
5.4%
a 3
 
5.4%
y 2
 
3.6%
Other values (6) 6
10.7%
Decimal Number
ValueCountFrequency (%)
1 18
19.6%
2 14
15.2%
5 13
14.1%
0 12
13.0%
3 9
9.8%
6 7
 
7.6%
7 6
 
6.5%
8 5
 
5.4%
4 5
 
5.4%
9 3
 
3.3%
Other Punctuation
ValueCountFrequency (%)
* 3560
81.8%
, 790
 
18.1%
. 3
 
0.1%
Space Separator
ValueCountFrequency (%)
4013
100.0%
Open Punctuation
ValueCountFrequency (%)
( 709
100.0%
Close Punctuation
ValueCountFrequency (%)
) 709
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 137
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13421
56.5%
Common 10014
42.2%
Latin 304
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 944
 
7.0%
동 872
 
6.5%
마 776
 
5.8%
포 755
 
5.6%
울 735
 
5.5%
시 714
 
5.3%
구 713
 
5.3%
특 709
 
5.3%
별 706
 
5.3%
로 688
 
5.1%
Other values (234) 5809
43.3%
Latin
ValueCountFrequency (%)
C 35
 
11.5%
M 30
 
9.9%
B 29
 
9.5%
D 28
 
9.2%
S 16
 
5.3%
T 11
 
3.6%
A 11
 
3.6%
O 11
 
3.6%
R 10
 
3.3%
e 9
 
3.0%
Other values (29) 114
37.5%
Common
ValueCountFrequency (%)
4013
40.1%
* 3560
35.6%
, 790
 
7.9%
( 709
 
7.1%
) 709
 
7.1%
- 137
 
1.4%
1 18
 
0.2%
2 14
 
0.1%
5 13
 
0.1%
0 12
 
0.1%
Other values (8) 39
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13421
56.5%
ASCII 10317
43.5%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4013
38.9%
* 3560
34.5%
, 790
 
7.7%
( 709
 
6.9%
) 709
 
6.9%
- 137
 
1.3%
C 35
 
0.3%
M 30
 
0.3%
B 29
 
0.3%
D 28
 
0.3%
Other values (46) 277
 
2.7%
Hangul
ValueCountFrequency (%)
서 944
 
7.0%
동 872
 
6.5%
마 776
 
5.8%
포 755
 
5.6%
울 735
 
5.5%
시 714
 
5.3%
구 713
 
5.3%
특 709
 
5.3%
별 706
 
5.3%
로 688
 
5.1%
Other values (234) 5809
43.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명우편번호
Text

Distinct159
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2024-05-11T15:08:10.024512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0028369
Min length5

Characters and Unicode

Total characters3527
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

Unique42 ?
Unique (%)6.0%

Sample

1st row04003
2nd row04030
3rd row03938
4th row04165
5th row04052
ValueCountFrequency (%)
04029 24
 
3.4%
03908 20
 
2.8%
03966 19
 
2.7%
03925 17
 
2.4%
04043 16
 
2.3%
04083 15
 
2.1%
03997 14
 
2.0%
04053 14
 
2.0%
04072 14
 
2.0%
04048 13
 
1.8%
Other values (149) 539
76.5%
2024-05-11T15:08:10.993731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1220
34.6%
4 579
16.4%
3 430
 
12.2%
9 427
 
12.1%
8 182
 
5.2%
1 151
 
4.3%
7 149
 
4.2%
2 140
 
4.0%
5 128
 
3.6%
6 120
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3526
> 99.9%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1220
34.6%
4 579
16.4%
3 430
 
12.2%
9 427
 
12.1%
8 182
 
5.2%
1 151
 
4.3%
7 149
 
4.2%
2 140
 
4.0%
5 128
 
3.6%
6 120
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3527
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1220
34.6%
4 579
16.4%
3 430
 
12.2%
9 427
 
12.1%
8 182
 
5.2%
1 151
 
4.3%
7 149
 
4.2%
2 140
 
4.0%
5 128
 
3.6%
6 120
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3527
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1220
34.6%
4 579
16.4%
3 430
 
12.2%
9 427
 
12.1%
8 182
 
5.2%
1 151
 
4.3%
7 149
 
4.2%
2 140
 
4.0%
5 128
 
3.6%
6 120
 
3.4%

사업장명
Text

Distinct704
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2024-05-11T15:08:11.509920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length35
Mean length11.408511
Min length2

Characters and Unicode

Total characters8043
Distinct characters461
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

Unique703 ?
Unique (%)99.7%

Sample

1st row(주)티케이엔터테인먼트
2nd rowRockin'Korea
3rd row주식회사 점프엔터테인먼트
4th row케이지이엔엠
5th row매직스트로베리사운드
ValueCountFrequency (%)
주식회사 345
27.9%
엔터테인먼트 29
 
2.3%
music 13
 
1.1%
entertainment 9
 
0.7%
주 6
 
0.5%
ent 5
 
0.4%
뮤직 4
 
0.3%
inc 4
 
0.3%
매니지먼트 4
 
0.3%
컴퍼니 4
 
0.3%
Other values (793) 813
65.8%
2024-05-11T15:08:12.221671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
531
 
6.6%
주 473
 
5.9%
사 363
 
4.5%
회 350
 
4.4%
식 347
 
4.3%
이 330
 
4.1%
트 246
 
3.1%
엔 246
 
3.1%
) 218
 
2.7%
( 218
 
2.7%
Other values (451) 4721
58.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6110
76.0%
Uppercase Letter 545
 
6.8%
Space Separator 531
 
6.6%
Lowercase Letter 380
 
4.7%
Close Punctuation 218
 
2.7%
Open Punctuation 218
 
2.7%
Other Punctuation 28
 
0.3%
Decimal Number 11
 
0.1%
Other Symbol 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 473
 
7.7%
사 363
 
5.9%
회 350
 
5.7%
식 347
 
5.7%
이 330
 
5.4%
트 246
 
4.0%
엔 246
 
4.0%
인 216
 
3.5%
스 210
 
3.4%
터 198
 
3.2%
Other values (387) 3131
51.2%
Uppercase Letter
ValueCountFrequency (%)
E 53
 
9.7%
A 42
 
7.7%
T 42
 
7.7%
S 41
 
7.5%
N 39
 
7.2%
I 37
 
6.8%
M 36
 
6.6%
C 31
 
5.7%
R 31
 
5.7%
O 29
 
5.3%
Other values (16) 164
30.1%
Lowercase Letter
ValueCountFrequency (%)
e 48
12.6%
n 43
11.3%
t 37
9.7%
i 31
 
8.2%
a 29
 
7.6%
r 28
 
7.4%
o 27
 
7.1%
s 22
 
5.8%
u 17
 
4.5%
c 16
 
4.2%
Other values (13) 82
21.6%
Other Punctuation
ValueCountFrequency (%)
. 17
60.7%
& 4
 
14.3%
' 3
 
10.7%
, 3
 
10.7%
? 1
 
3.6%
Decimal Number
ValueCountFrequency (%)
8 4
36.4%
2 3
27.3%
1 2
18.2%
7 1
 
9.1%
5 1
 
9.1%
Space Separator
ValueCountFrequency (%)
531
100.0%
Close Punctuation
ValueCountFrequency (%)
) 218
100.0%
Open Punctuation
ValueCountFrequency (%)
( 218
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6111
76.0%
Common 1007
 
12.5%
Latin 925
 
11.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 473
 
7.7%
사 363
 
5.9%
회 350
 
5.7%
식 347
 
5.7%
이 330
 
5.4%
트 246
 
4.0%
엔 246
 
4.0%
인 216
 
3.5%
스 210
 
3.4%
터 198
 
3.2%
Other values (388) 3132
51.3%
Latin
ValueCountFrequency (%)
E 53
 
5.7%
e 48
 
5.2%
n 43
 
4.6%
A 42
 
4.5%
T 42
 
4.5%
S 41
 
4.4%
N 39
 
4.2%
I 37
 
4.0%
t 37
 
4.0%
M 36
 
3.9%
Other values (39) 507
54.8%
Common
ValueCountFrequency (%)
531
52.7%
) 218
21.6%
( 218
21.6%
. 17
 
1.7%
8 4
 
0.4%
& 4
 
0.4%
' 3
 
0.3%
, 3
 
0.3%
2 3
 
0.3%
1 2
 
0.2%
Other values (4) 4
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6110
76.0%
ASCII 1932
 
24.0%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
531
27.5%
) 218
 
11.3%
( 218
 
11.3%
E 53
 
2.7%
e 48
 
2.5%
n 43
 
2.2%
A 42
 
2.2%
T 42
 
2.2%
S 41
 
2.1%
N 39
 
2.0%
Other values (53) 657
34.0%
Hangul
ValueCountFrequency (%)
주 473
 
7.7%
사 363
 
5.9%
회 350
 
5.7%
식 347
 
5.7%
이 330
 
5.4%
트 246
 
4.0%
엔 246
 
4.0%
인 216
 
3.5%
스 210
 
3.4%
터 198
 
3.2%
Other values (387) 3131
51.2%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct705
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
Minimum2015-04-16 15:23:21
Maximum2024-05-07 10:50:26
2024-05-11T15:08:12.478633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:08:12.751451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
I
438 
U
267 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 438
62.1%
U 267
37.9%

Length

2024-05-11T15:08:13.003382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:13.193728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 438
62.1%
u 267
37.9%

데이터갱신일자
Date

Distinct378
Distinct (%)53.6%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T15:08:13.405004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:08:13.680552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing705
Missing (%)100.0%
Memory size6.3 KiB

좌표정보(X)
Real number (ℝ)

Distinct502
Distinct (%)71.4%
Missing2
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean192525.29
Minimum189409.32
Maximum196472.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2024-05-11T15:08:13.926088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189409.32
5-th percentile190144.89
Q1192013.04
median192584.21
Q3193095.25
95-th percentile195000.61
Maximum196472.36
Range7063.0406
Interquartile range (IQR)1082.214

Descriptive statistics

Standard deviation1272.8114
Coefficient of variation (CV)0.0066111389
Kurtosis0.60423944
Mean192525.29
Median Absolute Deviation (MAD)522.37159
Skewness0.1517045
Sum1.3534528 × 108
Variance1620048.9
MonotonicityNot monotonic
2024-05-11T15:08:14.173211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190335.496775957 11
 
1.6%
190125.564768858 10
 
1.4%
189954.316212248 9
 
1.3%
190268.350708409 9
 
1.3%
190182.067334395 5
 
0.7%
193260.779825462 5
 
0.7%
193314.124814503 4
 
0.6%
192652.282023976 4
 
0.6%
193152.62383534 4
 
0.6%
193446.227742729 4
 
0.6%
Other values (492) 638
90.5%
ValueCountFrequency (%)
189409.319972063 1
 
0.1%
189520.410979113 1
 
0.1%
189624.641758403 2
 
0.3%
189624.675468841 1
 
0.1%
189855.433985731 3
 
0.4%
189954.316212248 9
1.3%
189988.285119266 1
 
0.1%
190035.218204373 1
 
0.1%
190075.380363452 1
 
0.1%
190086.625449279 2
 
0.3%
ValueCountFrequency (%)
196472.360602667 1
0.1%
196115.553157552 1
0.1%
196049.809912218 1
0.1%
196032.486543817 1
0.1%
195900.709427813 2
0.3%
195874.639172861 1
0.1%
195825.263166825 1
0.1%
195764.944565229 1
0.1%
195703.425296812 2
0.3%
195627.310464806 1
0.1%

좌표정보(Y)
Real number (ℝ)

Distinct502
Distinct (%)71.4%
Missing2
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean450496.26
Minimum448229.06
Maximum453872.43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2024-05-11T15:08:14.414790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448229.06
5-th percentile449144.69
Q1449671.47
median450329.05
Q3450927.32
95-th percentile453090.15
Maximum453872.43
Range5643.362
Interquartile range (IQR)1255.8448

Descriptive statistics

Standard deviation1147.2752
Coefficient of variation (CV)0.002546692
Kurtosis0.5716546
Mean450496.26
Median Absolute Deviation (MAD)646.84638
Skewness0.98287673
Sum3.1669887 × 108
Variance1316240.4
MonotonicityNot monotonic
2024-05-11T15:08:14.625474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452758.642764785 11
 
1.6%
453090.149821248 10
 
1.4%
453263.335891345 9
 
1.3%
452810.742674992 9
 
1.3%
453141.676626027 5
 
0.7%
450395.053477987 5
 
0.7%
450682.987554634 4
 
0.6%
449483.723207355 4
 
0.6%
450523.47124017 4
 
0.6%
450410.07878902 4
 
0.6%
Other values (492) 638
90.5%
ValueCountFrequency (%)
448229.063825491 2
0.3%
448384.610394399 1
 
0.1%
448407.752664604 2
0.3%
448487.374314355 2
0.3%
448644.311298762 1
 
0.1%
448698.169166329 2
0.3%
448725.077064367 2
0.3%
448733.404817253 2
0.3%
448799.641804029 3
0.4%
448852.379796745 1
 
0.1%
ValueCountFrequency (%)
453872.42578746 2
 
0.3%
453872.3993323 1
 
0.1%
453685.545865753 1
 
0.1%
453614.583448105 3
 
0.4%
453459.525588653 1
 
0.1%
453345.947683972 1
 
0.1%
453302.04990022 2
 
0.3%
453263.335891345 9
1.3%
453238.148137922 1
 
0.1%
453231.427685063 2
 
0.3%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
대중문화예술기획업
440 
<NA>
265 

Length

Max length9
Median length9
Mean length7.1205674
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대중문화예술기획업 440
62.4%
<NA> 265
37.6%

Length

2024-05-11T15:08:14.857255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:15.067621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대중문화예술기획업 440
62.4%
na 265
37.6%

문화사업자구분명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
유통관련업
440 
<NA>
265 

Length

Max length5
Median length5
Mean length4.6241135
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 440
62.4%
<NA> 265
37.6%

Length

2024-05-11T15:08:15.267739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:15.448923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 440
62.4%
na 265
37.6%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
<NA>
661 
0
 
44

Length

Max length4
Median length4
Mean length3.812766
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> 661
93.8%
0 44
 
6.2%

Length

2024-05-11T15:08:15.621197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:15.772461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 661
93.8%
0 44
 
6.2%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing705
Missing (%)100.0%
Memory size6.3 KiB

제작취급품목내용
Text

MISSING 

Distinct176
Distinct (%)40.0%
Missing265
Missing (%)37.6%
Memory size5.6 KiB
2024-05-11T15:08:16.021027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length40
Mean length9.4363636
Min length2

Characters and Unicode

Total characters4152
Distinct characters116
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique147 ?
Unique (%)33.4%

Sample

1st row연예매니지먼트/음반제작
2nd row매니지먼트, 공연기획
3rd row엔터테인먼트
4th row연예인매니저먼트
5th row공연기획
ValueCountFrequency (%)
엔터테인먼트 124
 
16.7%
매니지먼트 107
 
14.4%
매니저업 35
 
4.7%
및 32
 
4.3%
연예매니지먼트 28
 
3.8%
공연기획 25
 
3.4%
연예인대리 22
 
3.0%
연예인 20
 
2.7%
연예인매니지먼트 14
 
1.9%
연예기획 14
 
1.9%
Other values (156) 320
43.2%
2024-05-11T15:08:16.539248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
트 342
 
8.2%
먼 334
 
8.0%
301
 
7.2%
니 236
 
5.7%
매 235
 
5.7%
인 213
 
5.1%
연 213
 
5.1%
지 194
 
4.7%
, 194
 
4.7%
예 174
 
4.2%
Other values (106) 1716
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3640
87.7%
Space Separator 301
 
7.2%
Other Punctuation 205
 
4.9%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 342
 
9.4%
먼 334
 
9.2%
니 236
 
6.5%
매 235
 
6.5%
인 213
 
5.9%
연 213
 
5.9%
지 194
 
5.3%
예 174
 
4.8%
터 142
 
3.9%
엔 140
 
3.8%
Other values (100) 1417
38.9%
Other Punctuation
ValueCountFrequency (%)
, 194
94.6%
/ 6
 
2.9%
? 5
 
2.4%
Space Separator
ValueCountFrequency (%)
301
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3640
87.7%
Common 512
 
12.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 342
 
9.4%
먼 334
 
9.2%
니 236
 
6.5%
매 235
 
6.5%
인 213
 
5.9%
연 213
 
5.9%
지 194
 
5.3%
예 174
 
4.8%
터 142
 
3.9%
엔 140
 
3.8%
Other values (100) 1417
38.9%
Common
ValueCountFrequency (%)
301
58.8%
, 194
37.9%
/ 6
 
1.2%
? 5
 
1.0%
) 3
 
0.6%
( 3
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3640
87.7%
ASCII 512
 
12.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
트 342
 
9.4%
먼 334
 
9.2%
니 236
 
6.5%
매 235
 
6.5%
인 213
 
5.9%
연 213
 
5.9%
지 194
 
5.3%
예 174
 
4.8%
터 142
 
3.9%
엔 140
 
3.8%
Other values (100) 1417
38.9%
ASCII
ValueCountFrequency (%)
301
58.8%
, 194
37.9%
/ 6
 
1.2%
? 5
 
1.0%
) 3
 
0.6%
( 3
 
0.6%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)33.9%
Missing643
Missing (%)91.2%
Infinite0
Infinite (%)0.0%
Mean97421.112
Minimum0
Maximum6037638
Zeros42
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2024-05-11T15:08:16.723810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q332.335
95-th percentile248.2835
Maximum6037638
Range6037638
Interquartile range (IQR)32.335

Descriptive statistics

Standard deviation766775.66
Coefficient of variation (CV)7.870734
Kurtosis61.999998
Mean97421.112
Median Absolute Deviation (MAD)0
Skewness7.8740076
Sum6040108.9
Variance5.8794491 × 1011
MonotonicityNot monotonic
2024-05-11T15:08:16.871973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 42
 
6.0%
165.23 1
 
0.1%
184.32 1
 
0.1%
172.59 1
 
0.1%
54.42 1
 
0.1%
64.0 1
 
0.1%
6.0 1
 
0.1%
33.15 1
 
0.1%
126.82 1
 
0.1%
684.6 1
 
0.1%
Other values (11) 11
 
1.6%
(Missing) 643
91.2%
ValueCountFrequency (%)
0.0 42
6.0%
6.0 1
 
0.1%
23.27 1
 
0.1%
28.93 1
 
0.1%
29.89 1
 
0.1%
33.15 1
 
0.1%
46.25 1
 
0.1%
49.59 1
 
0.1%
54.2 1
 
0.1%
54.42 1
 
0.1%
ValueCountFrequency (%)
6037638.0 1
0.1%
684.6 1
0.1%
276.21 1
0.1%
251.65 1
0.1%
184.32 1
0.1%
172.59 1
0.1%
165.23 1
0.1%
159.86 1
0.1%
126.82 1
0.1%
64.0 1
0.1%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
<NA>
661 
0
 
44

Length

Max length4
Median length4
Mean length3.812766
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> 661
93.8%
0 44
 
6.2%

Length

2024-05-11T15:08:17.053902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:17.240946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 661
93.8%
0 44
 
6.2%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
<NA>
661 
0
 
44

Length

Max length4
Median length4
Mean length3.812766
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> 661
93.8%
0 44
 
6.2%

Length

2024-05-11T15:08:17.458076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:17.623685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 661
93.8%
0 44
 
6.2%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing705
Missing (%)100.0%
Memory size6.3 KiB

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
<NA>
664 
0
 
41

Length

Max length4
Median length4
Mean length3.8255319
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> 664
94.2%
0 41
 
5.8%

Length

2024-05-11T15:08:17.767486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:17.917415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 664
94.2%
0 41
 
5.8%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
<NA>
664 
0
 
41

Length

Max length4
Median length4
Mean length3.8255319
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> 664
94.2%
0 41
 
5.8%

Length

2024-05-11T15:08:18.424768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:18.588436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 664
94.2%
0 41
 
5.8%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
<NA>
664 
0
 
41

Length

Max length4
Median length4
Mean length3.8255319
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> 664
94.2%
0 41
 
5.8%

Length

2024-05-11T15:08:18.778753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:18.966025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 664
94.2%
0 41
 
5.8%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
<NA>
664 
0
 
41

Length

Max length4
Median length4
Mean length3.8255319
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> 664
94.2%
0 41
 
5.8%

Length

2024-05-11T15:08:19.191489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:19.389476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 664
94.2%
0 41
 
5.8%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing705
Missing (%)100.0%
Memory size6.3 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing705
Missing (%)100.0%
Memory size6.3 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing705
Missing (%)100.0%
Memory size6.3 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing705
Missing (%)100.0%
Memory size6.3 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing705
Missing (%)100.0%
Memory size6.3 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing705
Missing (%)100.0%
Memory size6.3 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing705
Missing (%)100.0%
Memory size6.3 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing705
Missing (%)100.0%
Memory size6.3 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing705
Missing (%)100.0%
Memory size6.3 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing705
Missing (%)100.0%
Memory size6.3 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing705
Missing (%)100.0%
Memory size6.3 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
<NA>
664 
0
 
41

Length

Max length4
Median length4
Mean length3.8255319
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> 664
94.2%
0 41
 
5.8%

Length

2024-05-11T15:08:19.584805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:08:19.931253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 664
94.2%
0 41
 
5.8%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing705
Missing (%)100.0%
Memory size6.3 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing705
Missing (%)100.0%
Memory size6.3 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing705
Missing (%)100.0%
Memory size6.3 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing705
Missing (%)100.0%
Memory size6.3 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing705
Missing (%)100.0%
Memory size6.3 KiB

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing705
Missing (%)100.0%
Memory size6.3 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03130000CDFF324109201400000220141226<NA>1영업/정상13영업중<NA><NA><NA><NA>02)333-1031~2<NA><NA>서울특별시 마포구 서교동 ***-**번지 *층서울특별시 마포구 잔다리로 ***, *층 (서교동)04003(주)티케이엔터테인먼트2017-05-08 10:07:07I2018-08-31 23:59:59.0<NA>192369.191698450447.691204대중문화예술기획업유통관련업<NA><NA>연예매니지먼트/음반제작<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13130000CDFF324109201500000320150206<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 ***-**서울특별시 마포구 동교로 ***, *층 (서교동)04030Rockin'Korea2022-06-30 13:51:06U2021-12-07 00:02:00.0<NA>192694.446583450326.140093<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23130000CDFF32410920150000092015-03-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 성산동 ***-* 이안상암Ⅱ서울특별시 마포구 월드컵로 ***, 이안상암Ⅱ (성산동)03938주식회사 점프엔터테인먼트2024-03-13 15:59:01U2023-12-02 23:06:00.0<NA>191337.868997451395.153093<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33130000CDFF324109201500001020150330<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7854-6433<NA><NA>서울특별시 마포구 마포동 **-*번지 현대빌딩 ***호서울특별시 마포구 마포대로 **, ***호 (마포동, 현대빌딩)04165케이지이엔엠2015-04-16 15:23:21I2018-08-31 23:59:59.0<NA>194978.350113448487.374314대중문화예술기획업유통관련업<NA><NA>매니지먼트, 공연기획<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43130000CDFF324109201500001520150406<NA>3폐업3폐업20180222<NA><NA><NA>02)336-5422<NA><NA>서울특별시 마포구 서교동 ***-**번지 *층서울특별시 마포구 와우산로**길 **-**, *층 (서교동)04052매직스트로베리사운드2018-02-23 18:18:32I2018-08-31 23:59:59.0<NA>193671.028177450329.798776대중문화예술기획업유통관련업<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>
53130000CDFF324109201500001620150406<NA>1영업/정상13영업중<NA><NA><NA><NA>02)6393-4512<NA><NA>서울특별시 마포구 상암동 ****번지 케이지아이티센터 ***호서울특별시 마포구 월드컵북로 ***, ****호 (상암동, 케이지아이티센터)03925(주)코엔스타즈2015-04-16 16:05:49I2018-08-31 23:59:59.0<NA>190125.564769453090.149821대중문화예술기획업유통관련업<NA><NA>연예인매니저먼트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63130000CDFF324109201500001720150406<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 ***-**번지서울특별시 마포구 양화로**길 *, *층 (서교동, 한동출판)04034(주)사운드홀릭2016-09-27 14:01:35I2018-08-31 23:59:59.0<NA>192531.417347449973.250013대중문화예술기획업유통관련업<NA><NA>공연기획<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73130000CDFF324109201500001920150406<NA>1영업/정상13영업중<NA><NA><NA><NA>02-322-8487<NA><NA>서울특별시 마포구 망원동 ***-**서울특별시 마포구 동교로 **-* (망원동)04018(주)록스타뮤직앤라이브2021-11-24 11:27:23U2021-11-27 02:40:00.0<NA>191956.841135450195.620676대중문화예술기획업유통관련업0<NA>매니지먼트0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
83130000CDFF324109201500002120150407<NA>1영업/정상13영업중<NA><NA><NA><NA>02)326-3075<NA><NA>서울특별시 마포구 서교동 ***-**번지 지층서울특별시 마포구 월드컵북로*가길 **, 지층 (서교동)04001드럭레코드2015-04-16 16:38:57I2018-08-31 23:59:59.0<NA>192743.482381450491.143868대중문화예술기획업유통관련업<NA><NA>연예매니지먼트, 공연기획<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93130000CDFF324109201500002220150407<NA>1영업/정상13영업중<NA><NA><NA><NA>02)3143-5480<NA><NA>서울특별시 마포구 성산동 ***-*번지 명원빌딩 *층서울특별시 마포구 월드컵로 ***, *층 (성산동, 명원빌딩)03970JNH뮤직2015-04-17 08:59:16I2018-08-31 23:59:59.0<NA>191605.250537450993.430383대중문화예술기획업유통관련업<NA><NA>공연기획, 연예인대리<NA><NA><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
6953130000CDFF32410920240000132024-03-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 공덕동 *** 래미안 공덕*차서울특별시 마포구 마포대로 ***, ***동 ***호 (공덕동, 래미안 공덕*차)04131노크2024-03-21 16:48:11I2023-12-02 22:03:00.0<NA>195825.263167449718.88798<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6963130000CDFF32410920240000142024-03-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 성산동 ***-*서울특별시 마포구 성미산로 **, 지하층 (성산동)03996라이온 스튜디오2024-03-27 17:25:54I2023-12-02 22:09:00.0<NA>192009.611223450678.233472<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6973130000CDFF32410920240000152019-10-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 신공덕동 *-** 공덕코어서울특별시 마포구 만리재로 **, 공덕코어 **층 (신공덕동)04209주식회사 글로벌이앤비2024-04-14 10:34:09U2023-12-03 23:06:00.0<NA>196032.486544449284.580792<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6983130000CDFF32410920240000162024-04-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 ***-** 서교빌리지서울특별시 마포구 월드컵로**길 **-*, 서교빌리지 지층 (서교동)04004(주)라이즈 엔터테인먼트2024-04-08 08:31:53I2023-12-03 23:03:00.0<NA>192203.726521450329.053592<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6993130000CDFF32410920240000172024-04-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 ***-** GLORY서울특별시 마포구 잔다리로 ***, GLORY 지하층 (서교동)03997(주)문보우이엔티2024-04-24 07:42:01I2023-12-03 22:06:00.0<NA>192312.379911450538.573474<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7003130000CDFF32410920240000182024-04-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 ***-** 챕터 서교서울특별시 마포구 와우산로**다길 **, 챕터 서교 *층 (서교동)04053롤링스톤스2024-04-25 13:28:51I2023-12-03 22:07:00.0<NA>193511.480589450296.030877<NA><NA><NA><NA><NA><NA><NA><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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