Overview

Dataset statistics

Number of variables56
Number of observations21
Missing cells604
Missing cells (%)51.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.1 KiB
Average record size in memory493.3 B

Variable types

Categorical16
Text6
DateTime6
Unsupported24
Numeric4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-17200/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 has constant value ""Constant
휴업종료일자 has constant value ""Constant
영업상태코드 is highly imbalanced (59.1%)Imbalance
영업상태명 is highly imbalanced (59.1%)Imbalance
상세영업상태코드 is highly imbalanced (59.1%)Imbalance
상세영업상태명 is highly imbalanced (59.1%)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 (54.6%)Imbalance
조명시설조도 is highly imbalanced (54.6%)Imbalance
노래방실수 is highly imbalanced (54.6%)Imbalance
청소년실수 is highly imbalanced (54.6%)Imbalance
총게임기수 is highly imbalanced (54.6%)Imbalance
인허가취소일자 has 21 (100.0%) missing valuesMissing
폐업일자 has 19 (90.5%) missing valuesMissing
휴업시작일자 has 20 (95.2%) missing valuesMissing
휴업종료일자 has 20 (95.2%) missing valuesMissing
재개업일자 has 21 (100.0%) missing valuesMissing
전화번호 has 19 (90.5%) missing valuesMissing
소재지면적 has 21 (100.0%) missing valuesMissing
소재지우편번호 has 21 (100.0%) missing valuesMissing
업태구분명 has 21 (100.0%) missing valuesMissing
주변환경명 has 21 (100.0%) missing valuesMissing
제작취급품목내용 has 8 (38.1%) missing valuesMissing
시설면적 has 14 (66.7%) missing valuesMissing
건물용도명 has 21 (100.0%) missing valuesMissing
비상계단여부 has 21 (100.0%) missing valuesMissing
비상구여부 has 21 (100.0%) missing valuesMissing
자동환기여부 has 21 (100.0%) missing valuesMissing
청소년실여부 has 21 (100.0%) missing valuesMissing
특수조명여부 has 21 (100.0%) missing valuesMissing
방음시설여부 has 21 (100.0%) missing valuesMissing
비디오재생기명 has 21 (100.0%) missing valuesMissing
조명시설유무 has 21 (100.0%) missing valuesMissing
음향시설여부 has 21 (100.0%) missing valuesMissing
편의시설여부 has 21 (100.0%) missing valuesMissing
소방시설여부 has 21 (100.0%) missing valuesMissing
기존게임업외업종명 has 21 (100.0%) missing valuesMissing
제공게임물명 has 21 (100.0%) missing valuesMissing
공연장형태구분명 has 21 (100.0%) missing valuesMissing
품목명 has 21 (100.0%) missing valuesMissing
최초등록시점 has 21 (100.0%) missing valuesMissing
지역구분명 has 21 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 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 2 (9.5%) zerosZeros

Reproduction

Analysis started2024-05-11 08:25:24.322034
Analysis finished2024-05-11 08:25:25.757603
Duration1.44 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
3080000
21 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3080000
2nd row3080000
3rd row3080000
4th row3080000
5th row3080000

Common Values

ValueCountFrequency (%)
3080000 21
100.0%

Length

2024-05-11T08:25:25.946676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:25:26.321674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3080000 21
100.0%

관리번호
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-05-11T08:25:26.939778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters420
Distinct characters12
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

Unique21 ?
Unique (%)100.0%

Sample

1st rowCDFF3241092015000001
2nd rowCDFF3241092015000003
3rd rowCDFF3241092015000004
4th rowCDFF3241092016000002
5th rowCDFF3241092017000001
ValueCountFrequency (%)
cdff3241092015000001 1
 
4.8%
cdff3241092021000002 1
 
4.8%
cdff3241092023000001 1
 
4.8%
cdff3241092022000003 1
 
4.8%
cdff3241092022000002 1
 
4.8%
cdff3241092022000001 1
 
4.8%
cdff3241092021000006 1
 
4.8%
cdff3241092021000005 1
 
4.8%
cdff3241092021000004 1
 
4.8%
cdff3241092021000003 1
 
4.8%
Other values (11) 11
52.4%
2024-05-11T08:25:28.190014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 149
35.5%
2 65
15.5%
F 42
 
10.0%
1 42
 
10.0%
3 26
 
6.2%
4 23
 
5.5%
9 23
 
5.5%
C 21
 
5.0%
D 21
 
5.0%
5 4
 
1.0%
Other values (2) 4
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 336
80.0%
Uppercase Letter 84
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 149
44.3%
2 65
19.3%
1 42
 
12.5%
3 26
 
7.7%
4 23
 
6.8%
9 23
 
6.8%
5 4
 
1.2%
6 2
 
0.6%
7 2
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
F 42
50.0%
C 21
25.0%
D 21
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 336
80.0%
Latin 84
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 149
44.3%
2 65
19.3%
1 42
 
12.5%
3 26
 
7.7%
4 23
 
6.8%
9 23
 
6.8%
5 4
 
1.2%
6 2
 
0.6%
7 2
 
0.6%
Latin
ValueCountFrequency (%)
F 42
50.0%
C 21
25.0%
D 21
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 420
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 149
35.5%
2 65
15.5%
F 42
 
10.0%
1 42
 
10.0%
3 26
 
6.2%
4 23
 
5.5%
9 23
 
5.5%
C 21
 
5.0%
D 21
 
5.0%
5 4
 
1.0%
Other values (2) 4
 
1.0%

인허가일자
Date

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2015-05-13 00:00:00
Maximum2023-12-19 00:00:00
2024-05-11T08:25:28.777038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:29.400598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
1
18 
3
 
1
5
 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique3 ?
Unique (%)14.3%

Sample

1st row1
2nd row3
3rd row5
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 18
85.7%
3 1
 
4.8%
5 1
 
4.8%
2 1
 
4.8%

Length

2024-05-11T08:25:29.863019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:25:30.196669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 18
85.7%
3 1
 
4.8%
5 1
 
4.8%
2 1
 
4.8%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
영업/정상
18 
폐업
 
1
제외/삭제/전출
 
1
휴업
 
1

Length

Max length8
Median length5
Mean length4.8571429
Min length2

Unique

Unique3 ?
Unique (%)14.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 18
85.7%
폐업 1
 
4.8%
제외/삭제/전출 1
 
4.8%
휴업 1
 
4.8%

Length

2024-05-11T08:25:30.667120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:25:31.123434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 18
85.7%
폐업 1
 
4.8%
제외/삭제/전출 1
 
4.8%
휴업 1
 
4.8%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
13
18 
3
 
1
15
 
1
2
 
1

Length

Max length2
Median length2
Mean length1.9047619
Min length1

Unique

Unique3 ?
Unique (%)14.3%

Sample

1st row13
2nd row3
3rd row15
4th row13
5th row13

Common Values

ValueCountFrequency (%)
13 18
85.7%
3 1
 
4.8%
15 1
 
4.8%
2 1
 
4.8%

Length

2024-05-11T08:25:31.525825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:25:31.940648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 18
85.7%
3 1
 
4.8%
15 1
 
4.8%
2 1
 
4.8%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
영업중
18 
폐업
 
1
전출
 
1
휴업
 
1

Length

Max length3
Median length3
Mean length2.8571429
Min length2

Unique

Unique3 ?
Unique (%)14.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 18
85.7%
폐업 1
 
4.8%
전출 1
 
4.8%
휴업 1
 
4.8%

Length

2024-05-11T08:25:32.363605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:25:32.735920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 18
85.7%
폐업 1
 
4.8%
전출 1
 
4.8%
휴업 1
 
4.8%

폐업일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing19
Missing (%)90.5%
Memory size300.0 B
Minimum2022-04-25 00:00:00
Maximum2023-11-03 00:00:00
2024-05-11T08:25:33.158504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:33.598189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

휴업시작일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing20
Missing (%)95.2%
Memory size300.0 B
Minimum2023-08-22 00:00:00
Maximum2023-08-22 00:00:00
2024-05-11T08:25:33.935140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:34.252071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

휴업종료일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing20
Missing (%)95.2%
Memory size300.0 B
Minimum2025-03-23 00:00:00
Maximum2025-03-23 00:00:00
2024-05-11T08:25:34.697005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:35.127287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

전화번호
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing19
Missing (%)90.5%
Memory size300.0 B
2024-05-11T08:25:35.447439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters22
Distinct characters8
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

Unique2 ?
Unique (%)100.0%

Sample

1st row02-541-5001
2nd row02-991-1288
ValueCountFrequency (%)
02-541-5001 1
50.0%
02-991-1288 1
50.0%
2024-05-11T08:25:36.304262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4
18.2%
- 4
18.2%
1 4
18.2%
2 3
13.6%
5 2
9.1%
9 2
9.1%
8 2
9.1%
4 1
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18
81.8%
Dash Punctuation 4
 
18.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4
22.2%
1 4
22.2%
2 3
16.7%
5 2
11.1%
9 2
11.1%
8 2
11.1%
4 1
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4
18.2%
- 4
18.2%
1 4
18.2%
2 3
13.6%
5 2
9.1%
9 2
9.1%
8 2
9.1%
4 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4
18.2%
- 4
18.2%
1 4
18.2%
2 3
13.6%
5 2
9.1%
9 2
9.1%
8 2
9.1%
4 1
 
4.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

지번주소
Text

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-05-11T08:25:36.764325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length27
Mean length24.809524
Min length20

Characters and Unicode

Total characters521
Distinct characters49
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)81.0%

Sample

1st row서울특별시 강북구 수유동 ***-*번지
2nd row서울특별시 강북구 미아동 ***-***
3rd row서울특별시 강북구 미아동 ***-* 수유역푸르지오시티 ****호
4th row서울특별시 강북구 미아동 ***-**번지
5th row서울특별시 강북구 수유동 *-*번지
ValueCountFrequency (%)
서울특별시 21
21.4%
강북구 21
21.4%
15
15.3%
미아동 11
11.2%
수유동 8
 
8.2%
번지 6
 
6.1%
호 5
 
5.1%
번동 2
 
2.0%
수유역푸르지오시티 1
 
1.0%
상록캐스빌 1
 
1.0%
Other values (7) 7
 
7.1%
2024-05-11T08:25:37.764250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 117
22.5%
87
16.7%
시 22
 
4.2%
서 21
 
4.0%
특 21
 
4.0%
별 21
 
4.0%
강 21
 
4.0%
북 21
 
4.0%
구 21
 
4.0%
울 21
 
4.0%
Other values (39) 148
28.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 297
57.0%
Other Punctuation 117
 
22.5%
Space Separator 87
 
16.7%
Dash Punctuation 20
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 22
 
7.4%
서 21
 
7.1%
특 21
 
7.1%
별 21
 
7.1%
강 21
 
7.1%
북 21
 
7.1%
구 21
 
7.1%
울 21
 
7.1%
동 21
 
7.1%
아 12
 
4.0%
Other values (36) 95
32.0%
Other Punctuation
ValueCountFrequency (%)
* 117
100.0%
Space Separator
ValueCountFrequency (%)
87
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 297
57.0%
Common 224
43.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 22
 
7.4%
서 21
 
7.1%
특 21
 
7.1%
별 21
 
7.1%
강 21
 
7.1%
북 21
 
7.1%
구 21
 
7.1%
울 21
 
7.1%
동 21
 
7.1%
아 12
 
4.0%
Other values (36) 95
32.0%
Common
ValueCountFrequency (%)
* 117
52.2%
87
38.8%
- 20
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 297
57.0%
ASCII 224
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 117
52.2%
87
38.8%
- 20
 
8.9%
Hangul
ValueCountFrequency (%)
시 22
 
7.4%
서 21
 
7.1%
특 21
 
7.1%
별 21
 
7.1%
강 21
 
7.1%
북 21
 
7.1%
구 21
 
7.1%
울 21
 
7.1%
동 21
 
7.1%
아 12
 
4.0%
Other values (36) 95
32.0%

도로명주소
Text

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-05-11T08:25:38.394222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length41
Mean length33.714286
Min length22

Characters and Unicode

Total characters708
Distinct characters72
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)90.5%

Sample

1st row서울특별시 강북구 인수봉로 ***, *층 (수유동)
2nd row서울특별시 강북구 오패산로**가길 *, 가동 *층 *호 (미아동, 동성빌라)
3rd row서울특별시 강북구 도봉로 ***, **층 **호 (미아동, 수유역푸르지오시티)
4th row서울특별시 강북구 인수봉로*길 **-* (미아동)
5th row서울특별시 강북구 노해로 ** (수유동)
ValueCountFrequency (%)
서울특별시 21
14.6%
강북구 21
14.6%
21
14.6%
층 13
9.0%
미아동 11
 
7.6%
호 9
 
6.2%
수유동 8
 
5.6%
지층 3
 
2.1%
인수봉로 3
 
2.1%
덕릉로 3
 
2.1%
Other values (26) 31
21.5%
2024-05-11T08:25:39.607985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
123
17.4%
* 112
 
15.8%
동 26
 
3.7%
, 24
 
3.4%
시 22
 
3.1%
서 21
 
3.0%
로 21
 
3.0%
) 21
 
3.0%
울 21
 
3.0%
( 21
 
3.0%
Other values (62) 296
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 404
57.1%
Other Punctuation 136
 
19.2%
Space Separator 123
 
17.4%
Close Punctuation 21
 
3.0%
Open Punctuation 21
 
3.0%
Dash Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 26
 
6.4%
시 22
 
5.4%
서 21
 
5.2%
로 21
 
5.2%
울 21
 
5.2%
구 21
 
5.2%
북 21
 
5.2%
강 21
 
5.2%
별 21
 
5.2%
특 21
 
5.2%
Other values (56) 188
46.5%
Other Punctuation
ValueCountFrequency (%)
* 112
82.4%
, 24
 
17.6%
Space Separator
ValueCountFrequency (%)
123
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 404
57.1%
Common 304
42.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 26
 
6.4%
시 22
 
5.4%
서 21
 
5.2%
로 21
 
5.2%
울 21
 
5.2%
구 21
 
5.2%
북 21
 
5.2%
강 21
 
5.2%
별 21
 
5.2%
특 21
 
5.2%
Other values (56) 188
46.5%
Common
ValueCountFrequency (%)
123
40.5%
* 112
36.8%
, 24
 
7.9%
) 21
 
6.9%
( 21
 
6.9%
- 3
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 404
57.1%
ASCII 304
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
123
40.5%
* 112
36.8%
, 24
 
7.9%
) 21
 
6.9%
( 21
 
6.9%
- 3
 
1.0%
Hangul
ValueCountFrequency (%)
동 26
 
6.4%
시 22
 
5.4%
서 21
 
5.2%
로 21
 
5.2%
울 21
 
5.2%
구 21
 
5.2%
북 21
 
5.2%
강 21
 
5.2%
별 21
 
5.2%
특 21
 
5.2%
Other values (56) 188
46.5%

도로명우편번호
Real number (ℝ)

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1110.5714
Minimum1021
Maximum1209
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-11T08:25:39.950476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1021
5-th percentile1021
Q11063
median1111
Q31152
95-th percentile1204
Maximum1209
Range188
Interquartile range (IQR)89

Descriptive statistics

Standard deviation59.853631
Coefficient of variation (CV)0.053894445
Kurtosis-1.1430184
Mean1110.5714
Median Absolute Deviation (MAD)48
Skewness0.042573564
Sum23322
Variance3582.4571
MonotonicityNot monotonic
2024-05-11T08:25:40.428032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1152 2
 
9.5%
1021 2
 
9.5%
1031 1
 
4.8%
1209 1
 
4.8%
1053 1
 
4.8%
1129 1
 
4.8%
1107 1
 
4.8%
1111 1
 
4.8%
1094 1
 
4.8%
1042 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
1021 2
9.5%
1031 1
4.8%
1042 1
4.8%
1053 1
4.8%
1063 1
4.8%
1069 1
4.8%
1080 1
4.8%
1094 1
4.8%
1107 1
4.8%
1111 1
4.8%
ValueCountFrequency (%)
1209 1
4.8%
1204 1
4.8%
1183 1
4.8%
1182 1
4.8%
1165 1
4.8%
1152 2
9.5%
1129 1
4.8%
1128 1
4.8%
1126 1
4.8%
1111 1
4.8%

사업장명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-05-11T08:25:40.920083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length11
Mean length8.5238095
Min length3

Characters and Unicode

Total characters179
Distinct characters103
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row웨이브컬렉션
2nd row위시본프로젝트
3rd row케이더블유 엔터테인먼트
4th row아귀 엔터테인먼트
5th row이메이드
ValueCountFrequency (%)
엔터테인먼트 3
 
10.0%
웨이브컬렉션 1
 
3.3%
주식회사 1
 
3.3%
클릭(klick 1
 
3.3%
이홍찬 1
 
3.3%
우이버셜스튜디오 1
 
3.3%
koala 1
 
3.3%
코알라(always 1
 
3.3%
올웨이즈 1
 
3.3%
model(아임어모델 1
 
3.3%
Other values (18) 18
60.0%
2024-05-11T08:25:41.936305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 10
 
5.6%
9
 
5.0%
트 7
 
3.9%
인 6
 
3.4%
터 6
 
3.4%
엔 6
 
3.4%
먼 5
 
2.8%
테 5
 
2.8%
( 4
 
2.2%
) 4
 
2.2%
Other values (93) 117
65.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 130
72.6%
Uppercase Letter 19
 
10.6%
Lowercase Letter 12
 
6.7%
Space Separator 9
 
5.0%
Open Punctuation 4
 
2.2%
Close Punctuation 4
 
2.2%
Modifier Symbol 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 10
 
7.7%
트 7
 
5.4%
인 6
 
4.6%
터 6
 
4.6%
엔 6
 
4.6%
먼 5
 
3.8%
테 5
 
3.8%
퍼 3
 
2.3%
드 2
 
1.5%
문 2
 
1.5%
Other values (68) 78
60.0%
Uppercase Letter
ValueCountFrequency (%)
K 3
15.8%
A 3
15.8%
I 2
10.5%
L 2
10.5%
C 2
10.5%
O 1
 
5.3%
E 1
 
5.3%
N 1
 
5.3%
J 1
 
5.3%
T 1
 
5.3%
Other values (2) 2
10.5%
Lowercase Letter
ValueCountFrequency (%)
l 2
16.7%
a 2
16.7%
m 2
16.7%
e 1
8.3%
d 1
8.3%
o 1
8.3%
w 1
8.3%
y 1
8.3%
s 1
8.3%
Space Separator
ValueCountFrequency (%)
9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 130
72.6%
Latin 31
 
17.3%
Common 18
 
10.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 10
 
7.7%
트 7
 
5.4%
인 6
 
4.6%
터 6
 
4.6%
엔 6
 
4.6%
먼 5
 
3.8%
테 5
 
3.8%
퍼 3
 
2.3%
드 2
 
1.5%
문 2
 
1.5%
Other values (68) 78
60.0%
Latin
ValueCountFrequency (%)
K 3
 
9.7%
A 3
 
9.7%
l 2
 
6.5%
a 2
 
6.5%
m 2
 
6.5%
I 2
 
6.5%
L 2
 
6.5%
C 2
 
6.5%
e 1
 
3.2%
d 1
 
3.2%
Other values (11) 11
35.5%
Common
ValueCountFrequency (%)
9
50.0%
( 4
22.2%
) 4
22.2%
` 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 130
72.6%
ASCII 49
 
27.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 10
 
7.7%
트 7
 
5.4%
인 6
 
4.6%
터 6
 
4.6%
엔 6
 
4.6%
먼 5
 
3.8%
테 5
 
3.8%
퍼 3
 
2.3%
드 2
 
1.5%
문 2
 
1.5%
Other values (68) 78
60.0%
ASCII
ValueCountFrequency (%)
9
18.4%
( 4
 
8.2%
) 4
 
8.2%
K 3
 
6.1%
A 3
 
6.1%
l 2
 
4.1%
a 2
 
4.1%
m 2
 
4.1%
I 2
 
4.1%
L 2
 
4.1%
Other values (15) 16
32.7%

최종수정일자
Date

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2015-10-15 15:41:06
Maximum2023-12-19 17:58:03
2024-05-11T08:25:42.238423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:42.683348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

데이터갱신구분
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
I
12 
U
8 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
I 12
57.1%
U 8
38.1%
D 1
 
4.8%

Length

2024-05-11T08:25:43.173696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:25:43.522115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 12
57.1%
u 8
38.1%
d 1
 
4.8%

데이터갱신일자
Date

Distinct18
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-08 00:05:00
2024-05-11T08:25:44.112290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:25:44.625886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

좌표정보(X)
Real number (ℝ)

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201811.67
Minimum200874.81
Maximum202733.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-11T08:25:45.062742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200874.81
5-th percentile200874.81
Q1201359.1
median201959.23
Q3202257.32
95-th percentile202726.84
Maximum202733.06
Range1858.2426
Interquartile range (IQR)898.21894

Descriptive statistics

Standard deviation612.84181
Coefficient of variation (CV)0.0030367016
Kurtosis-1.1525619
Mean201811.67
Median Absolute Deviation (MAD)453.82556
Skewness-0.16296432
Sum4238045
Variance375575.08
MonotonicityNot monotonic
2024-05-11T08:25:45.578570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
200874.813014212 2
 
9.5%
200902.161113986 1
 
4.8%
201606.445832012 1
 
4.8%
201959.232073783 1
 
4.8%
201985.658061632 1
 
4.8%
202253.015161523 1
 
4.8%
202726.843031759 1
 
4.8%
201032.861319348 1
 
4.8%
201505.406518175 1
 
4.8%
201425.244526217 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
200874.813014212 2
9.5%
200902.161113986 1
4.8%
201032.861319348 1
4.8%
201210.273456885 1
4.8%
201359.100981513 1
4.8%
201425.244526217 1
4.8%
201505.406518175 1
4.8%
201606.445832012 1
4.8%
201928.00856614 1
4.8%
201959.232073783 1
4.8%
ValueCountFrequency (%)
202733.055635899 1
4.8%
202726.843031759 1
4.8%
202652.773497677 1
4.8%
202317.064607714 1
4.8%
202260.281345343 1
4.8%
202257.319917341 1
4.8%
202253.015161523 1
4.8%
202143.93164384 1
4.8%
202036.664134585 1
4.8%
201985.658061632 1
4.8%

좌표정보(Y)
Real number (ℝ)

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean458767.26
Minimum456810.35
Maximum460244.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-11T08:25:46.112592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum456810.35
5-th percentile457240.76
Q1457934.18
median459092.56
Q3459590.57
95-th percentile460086.32
Maximum460244.23
Range3433.878
Interquartile range (IQR)1656.3933

Descriptive statistics

Standard deviation1036.1289
Coefficient of variation (CV)0.0022585066
Kurtosis-1.0894326
Mean458767.26
Median Absolute Deviation (MAD)890.72891
Skewness-0.29190796
Sum9634112.5
Variance1073563
MonotonicityNot monotonic
2024-05-11T08:25:46.471159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
459879.131444235 2
 
9.5%
460244.229480436 1
 
4.8%
460001.632075829 1
 
4.8%
456810.351434843 1
 
4.8%
460086.31864512 1
 
4.8%
459146.903188746 1
 
4.8%
458056.861405286 1
 
4.8%
458201.835635103 1
 
4.8%
458926.401526974 1
 
4.8%
459096.21304272 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
456810.351434843 1
4.8%
457240.763799735 1
4.8%
457275.466488417 1
4.8%
457812.841681473 1
4.8%
457901.299053461 1
4.8%
457934.1801997 1
4.8%
458056.861405286 1
4.8%
458201.835635103 1
4.8%
458266.870122564 1
4.8%
458926.401526974 1
4.8%
ValueCountFrequency (%)
460244.229480436 1
4.8%
460086.31864512 1
4.8%
460001.632075829 1
4.8%
459879.131444235 2
9.5%
459590.573498344 1
4.8%
459465.289250912 1
4.8%
459203.633789762 1
4.8%
459146.903188746 1
4.8%
459096.21304272 1
4.8%
459092.564541808 1
4.8%

문화체육업종명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
대중문화예술기획업
13 
<NA>
8 

Length

Max length9
Median length9
Mean length7.0952381
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대중문화예술기획업 13
61.9%
<NA> 8
38.1%

Length

2024-05-11T08:25:46.825143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:25:47.185619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대중문화예술기획업 13
61.9%
na 8
38.1%

문화사업자구분명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
유통관련업
13 
<NA>
8 

Length

Max length5
Median length5
Mean length4.6190476
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 13
61.9%
<NA> 8
38.1%

Length

2024-05-11T08:25:47.574798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:25:47.958382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 13
61.9%
na 8
38.1%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
19 
0
2 

Length

Max length4
Median length4
Mean length3.7142857
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> 19
90.5%
0 2
 
9.5%

Length

2024-05-11T08:25:48.659123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:25:49.115185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
90.5%
0 2
 
9.5%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

제작취급품목내용
Text

MISSING 

Distinct12
Distinct (%)92.3%
Missing8
Missing (%)38.1%
Memory size300.0 B
2024-05-11T08:25:49.832788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length11.384615
Min length5

Characters and Unicode

Total characters148
Distinct characters43
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)84.6%

Sample

1st row음반,엔터태인먼트
2nd row메니지먼트
3rd row공연,이벤트,엔터테인먼트
4th row모델에이전시
5th row연예인 매니지먼트업, 광고기획, 영상물제작
ValueCountFrequency (%)
엔터테인먼트 3
 
10.0%
매니지먼트 3
 
10.0%
등 2
 
6.7%
전시 1
 
3.3%
모델 1
 
3.3%
공연기획 1
 
3.3%
및 1
 
3.3%
공연 1
 
3.3%
공급 1
 
3.3%
예술인 1
 
3.3%
Other values (15) 15
50.0%
2024-05-11T08:25:51.204386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17
 
11.5%
트 12
 
8.1%
, 10
 
6.8%
먼 10
 
6.8%
인 7
 
4.7%
연 5
 
3.4%
지 5
 
3.4%
니 5
 
3.4%
엔 5
 
3.4%
터 5
 
3.4%
Other values (33) 67
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 121
81.8%
Space Separator 17
 
11.5%
Other Punctuation 10
 
6.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 12
 
9.9%
먼 10
 
8.3%
인 7
 
5.8%
연 5
 
4.1%
지 5
 
4.1%
니 5
 
4.1%
엔 5
 
4.1%
터 5
 
4.1%
매 4
 
3.3%
기 4
 
3.3%
Other values (31) 59
48.8%
Space Separator
ValueCountFrequency (%)
17
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 121
81.8%
Common 27
 
18.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 12
 
9.9%
먼 10
 
8.3%
인 7
 
5.8%
연 5
 
4.1%
지 5
 
4.1%
니 5
 
4.1%
엔 5
 
4.1%
터 5
 
4.1%
매 4
 
3.3%
기 4
 
3.3%
Other values (31) 59
48.8%
Common
ValueCountFrequency (%)
17
63.0%
, 10
37.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 121
81.8%
ASCII 27
 
18.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17
63.0%
, 10
37.0%
Hangul
ValueCountFrequency (%)
트 12
 
9.9%
먼 10
 
8.3%
인 7
 
5.8%
연 5
 
4.1%
지 5
 
4.1%
니 5
 
4.1%
엔 5
 
4.1%
터 5
 
4.1%
매 4
 
3.3%
기 4
 
3.3%
Other values (31) 59
48.8%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)85.7%
Missing14
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean29.922857
Minimum0
Maximum68.28
Zeros2
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-11T08:25:51.933488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110.5
median32.97
Q343.605
95-th percentile64.059
Maximum68.28
Range68.28
Interquartile range (IQR)33.105

Descriptive statistics

Standard deviation25.658857
Coefficient of variation (CV)0.85750024
Kurtosis-0.96169088
Mean29.922857
Median Absolute Deviation (MAD)21.24
Skewness0.22821159
Sum209.46
Variance658.37696
MonotonicityNot monotonic
2024-05-11T08:25:52.553536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 2
 
9.5%
21.0 1
 
4.8%
68.28 1
 
4.8%
33.0 1
 
4.8%
32.97 1
 
4.8%
54.21 1
 
4.8%
(Missing) 14
66.7%
ValueCountFrequency (%)
0.0 2
9.5%
21.0 1
4.8%
32.97 1
4.8%
33.0 1
4.8%
54.21 1
4.8%
68.28 1
4.8%
ValueCountFrequency (%)
68.28 1
4.8%
54.21 1
4.8%
33.0 1
4.8%
32.97 1
4.8%
21.0 1
4.8%
0.0 2
9.5%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
19 
0
2 

Length

Max length4
Median length4
Mean length3.7142857
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> 19
90.5%
0 2
 
9.5%

Length

2024-05-11T08:25:53.277772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:25:53.873543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
90.5%
0 2
 
9.5%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
19 
0
2 

Length

Max length4
Median length4
Mean length3.7142857
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> 19
90.5%
0 2
 
9.5%

Length

2024-05-11T08:25:54.374434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:25:54.855793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
90.5%
0 2
 
9.5%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
19 
0
2 

Length

Max length4
Median length4
Mean length3.7142857
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> 19
90.5%
0 2
 
9.5%

Length

2024-05-11T08:25:55.421361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:25:56.015242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
90.5%
0 2
 
9.5%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
19 
0
2 

Length

Max length4
Median length4
Mean length3.7142857
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> 19
90.5%
0 2
 
9.5%

Length

2024-05-11T08:25:56.472980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:25:56.812685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
90.5%
0 2
 
9.5%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
19 
0
2 

Length

Max length4
Median length4
Mean length3.7142857
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> 19
90.5%
0 2
 
9.5%

Length

2024-05-11T08:25:57.202389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:25:57.617373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
90.5%
0 2
 
9.5%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
19 
0
2 

Length

Max length4
Median length4
Mean length3.7142857
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> 19
90.5%
0 2
 
9.5%

Length

2024-05-11T08:25:57.968953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:25:58.302160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
90.5%
0 2
 
9.5%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
19 
0
2 

Length

Max length4
Median length4
Mean length3.7142857
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> 19
90.5%
0 2
 
9.5%

Length

2024-05-11T08:25:58.720553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:25:59.051777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
90.5%
0 2
 
9.5%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03080000CDFF324109201500000120150615<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-*번지서울특별시 강북구 인수봉로 ***, *층 (수유동)1031웨이브컬렉션2015-10-15 15:41:06I2018-08-31 23:59:59.0<NA>200902.161114460244.22948대중문화예술기획업유통관련업<NA><NA>음반,엔터태인먼트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13080000CDFF32410920150000032015-08-10<NA>3폐업3폐업2023-11-03<NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 ***-***서울특별시 강북구 오패산로**가길 *, 가동 *층 *호 (미아동, 동성빌라)1152위시본프로젝트2023-11-03 17:39:25U2022-11-01 00:05:00.0<NA>202733.055636457934.1802<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23080000CDFF324109201500000420150812<NA>5제외/삭제/전출15전출20220425<NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 ***-* 수유역푸르지오시티 ****호서울특별시 강북구 도봉로 ***, **층 **호 (미아동, 수유역푸르지오시티)1128케이더블유 엔터테인먼트2022-04-25 15:34:14U2021-12-03 22:07:00.0<NA>202036.664135459092.564542<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33080000CDFF324109201600000220160926<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 ***-**번지서울특별시 강북구 인수봉로*길 **-* (미아동)1183아귀 엔터테인먼트2017-04-19 17:38:56I2018-08-31 23:59:59.0<NA>201359.100982457812.841681대중문화예술기획업유통관련업<NA><NA>메니지먼트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43080000CDFF324109201700000120170303<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 *-*번지서울특별시 강북구 노해로 ** (수유동)1080이메이드2017-03-03 17:50:49I2018-08-31 23:59:59.0<NA>201928.008566459465.289251대중문화예술기획업유통관련업<NA><NA>공연,이벤트,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>
53080000CDFF324109201700000220170427<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 ***-*번지서울특별시 강북구 솔샘로 ***, *층 (미아동)1204CJNET2017-04-27 09:04:42I2018-08-31 23:59:59.0<NA>202260.281345457240.7638대중문화예술기획업유통관련업<NA><NA>모델에이전시<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63080000CDFF324109201900000120190626<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 번동 ***-*번지 파스칼진빌딩 ***호서울특별시 강북구 덕릉로 ***, 파스칼진빌딩 ***호 (번동)1069(주)슈퍼베러2019-07-15 20:35:35U2019-07-17 02:40:00.0<NA>202257.319917459203.63379대중문화예술기획업유통관련업<NA><NA>연예인 매니지먼트업, 광고기획, 영상물제작21.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73080000CDFF324109201900000220191125<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 ***-*번지서울특별시 강북구 도봉로**길 **, *,*층 (미아동)1126데이문2019-11-25 20:23:01I2019-11-27 00:23:25.0<NA>202143.931644458266.870123대중문화예술기획업유통관련업<NA><NA>연기자 매니지먼트68.28<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83080000CDFF324109202000000120200916<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 ***-**서울특별시 강북구 도봉로**길 **, *층 (미아동)1165플라워엔터테인먼트2020-09-16 09:10:11I2020-09-18 00:23:12.0<NA>202652.773498457275.466488대중문화예술기획업유통관련업<NA><NA>엔터테인먼트33.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93080000CDFF324109202000000220201203<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 번동 ***-* 효성네오인텔리안 ***호서울특별시 강북구 도봉로 ***, *층 ***호 (번동, 효성네오인텔리안)1063벨로시티엔터테인먼트2020-12-03 14:10:55I2020-12-05 00:23:25.0<NA>202317.064608459590.573498대중문화예술기획업유통관련업<NA><NA>음반제작, 이벤트, 전시 행사 대행 등32.97<NA><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
113080000CDFF324109202100000220150513<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 *** 수유벽산아파트서울특별시 강북구 삼각산로 ***-*, *동 *층 ***호 (수유동, 수유벽산아파트)1042트리퍼 사운드2021-01-21 11:37:12U2021-01-23 02:40:00.0<NA>201606.445832460001.632076대중문화예술기획업유통관련업<NA><NA>엔터테인먼트, 매니지먼트, 음반기획<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
123080000CDFF324109202100000320150819<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-** ***호서울특별시 강북구 덕릉로 **, *층 ***호 (수유동)1094노리터뮤직2021-05-13 15:05:08U2021-05-15 02:40:00.0<NA>201425.244526459096.213043대중문화예술기획업유통관련업<NA><NA>매니지먼트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
133080000CDFF324109202100000420220620<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-*** 건우빌딩 ****호서울특별시 강북구 삼양로 ***, 건우빌딩 *층 ****호 (수유동)1111주식회사 케이원이엔엠2022-06-23 18:42:38U2021-12-05 22:05:00.0<NA>201505.406518458926.401527<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
143080000CDFF324109202100000520210909<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 ***-****서울특별시 강북구 인수봉로**가길 * (미아동)1107세계문화예술인연합회2021-09-09 14:18:38I2021-09-11 00:22:49.0<NA>201032.861319458201.835635대중문화예술기획업유통관련업0<NA>예술인 공급, 공연 및 공연기획 등0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
153080000CDFF324109202100000620151231<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 ***-*** 신일빌라서울특별시 강북구 오패산로**마길 **, *동 *층 ***호 (미아동, 신일빌라)1152I`m a model(아임어모델)2021-12-01 15:31:54U2021-12-03 02:40:00.0<NA>202726.843032458056.861405대중문화예술기획업유통관련업0<NA>모델 에이전시0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
163080000CDFF32410920220000012022-06-09<NA>2휴업2휴업<NA>2023-08-222025-03-23<NA><NA><NA><NA>서울특별시 강북구 미아동 ***-* 우건빌딩서울특별시 강북구 덕릉로 ***, 우건빌딩 지층 (미아동)1129올웨이즈 코알라(Always KOALA)2023-08-22 14:31:16U2022-12-07 22:04:00.0<NA>202253.015162459146.903189<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
173080000CDFF324109202200000220220913<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-**서울특별시 강북구 인수봉로 ***, 지층 (수유동)1021우이버셜스튜디오2022-09-13 17:02:07I2021-12-08 23:05:00.0<NA>200874.813014459879.131444<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
183080000CDFF32410920220000032022-09-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-**서울특별시 강북구 인수봉로 ***, 지층 (수유동)1021이홍찬2023-05-08 15:54:25D2022-12-04 23:00:00.0<NA>200874.813014459879.131444<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
193080000CDFF32410920230000012023-08-03<NA>1영업/정상13영업중<NA><NA><NA><NA>02-991-1288<NA><NA>서울특별시 강북구 수유동 ***-** 성재빌딩서울특별시 강북구 한천로***길 **, 성재빌딩 *층 (수유동)1053클릭(KLICK)2023-08-03 18:00:42I2022-12-08 00:05:00.0<NA>201985.658062460086.318645<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
203080000CDFF32410920230000022023-12-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 ***-**서울특별시 강북구 삼양로**가길 **-* (미아동)1209기억컴퍼니2023-12-19 17:58:03I2022-11-01 22:01:00.0<NA>201959.232074456810.351435<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>