Overview

Dataset statistics

Number of variables56
Number of observations46
Missing cells1325
Missing cells (%)51.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.1 KiB
Average record size in memory491.9 B

Variable types

Categorical16
Text6
DateTime4
Unsupported26
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
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-17203/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총층수 is highly imbalanced (57.4%)Imbalance
지상층수 is highly imbalanced (57.4%)Imbalance
지하층수 is highly imbalanced (57.4%)Imbalance
통로너비 is highly imbalanced (57.4%)Imbalance
조명시설조도 is highly imbalanced (57.4%)Imbalance
노래방실수 is highly imbalanced (57.4%)Imbalance
청소년실수 is highly imbalanced (57.4%)Imbalance
총게임기수 is highly imbalanced (57.4%)Imbalance
인허가취소일자 has 46 (100.0%) missing valuesMissing
폐업일자 has 35 (76.1%) missing valuesMissing
휴업시작일자 has 46 (100.0%) missing valuesMissing
휴업종료일자 has 46 (100.0%) missing valuesMissing
재개업일자 has 46 (100.0%) missing valuesMissing
전화번호 has 41 (89.1%) missing valuesMissing
소재지면적 has 46 (100.0%) missing valuesMissing
소재지우편번호 has 46 (100.0%) missing valuesMissing
지번주소 has 1 (2.2%) missing valuesMissing
업태구분명 has 46 (100.0%) missing valuesMissing
주변환경명 has 46 (100.0%) missing valuesMissing
제작취급품목내용 has 16 (34.8%) missing valuesMissing
시설면적 has 36 (78.3%) missing valuesMissing
건물용도명 has 46 (100.0%) missing valuesMissing
비상계단여부 has 46 (100.0%) missing valuesMissing
비상구여부 has 46 (100.0%) missing valuesMissing
자동환기여부 has 46 (100.0%) missing valuesMissing
청소년실여부 has 46 (100.0%) missing valuesMissing
특수조명여부 has 46 (100.0%) missing valuesMissing
방음시설여부 has 46 (100.0%) missing valuesMissing
비디오재생기명 has 46 (100.0%) missing valuesMissing
조명시설유무 has 46 (100.0%) missing valuesMissing
음향시설여부 has 46 (100.0%) missing valuesMissing
편의시설여부 has 46 (100.0%) missing valuesMissing
소방시설여부 has 46 (100.0%) missing valuesMissing
기존게임업외업종명 has 46 (100.0%) missing valuesMissing
제공게임물명 has 46 (100.0%) missing valuesMissing
공연장형태구분명 has 46 (100.0%) missing valuesMissing
품목명 has 46 (100.0%) missing valuesMissing
최초등록시점 has 46 (100.0%) missing valuesMissing
지역구분명 has 46 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
도로명주소 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 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 3 (6.5%) zerosZeros

Reproduction

Analysis started2024-04-29 19:12:48.840952
Analysis finished2024-04-29 19:12:49.614663
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
3110000
46 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3110000
2nd row3110000
3rd row3110000
4th row3110000
5th row3110000

Common Values

ValueCountFrequency (%)
3110000 46
100.0%

Length

2024-04-30T04:12:49.675751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:12:49.746083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 46
100.0%

관리번호
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-04-30T04:12:49.882730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters920
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

Unique46 ?
Unique (%)100.0%

Sample

1st rowCDFF3241092015000002
2nd rowCDFF3241092015000006
3rd rowCDFF3241092015000007
4th rowCDFF3241092015000009
5th rowCDFF3241092015000010
ValueCountFrequency (%)
cdff3241092015000002 1
 
2.2%
cdff3241092022000001 1
 
2.2%
cdff3241092023000007 1
 
2.2%
cdff3241092020000009 1
 
2.2%
cdff3241092020000010 1
 
2.2%
cdff3241092021000001 1
 
2.2%
cdff3241092021000002 1
 
2.2%
cdff3241092021000003 1
 
2.2%
cdff3241092021000004 1
 
2.2%
cdff3241092021000005 1
 
2.2%
Other values (36) 36
78.3%
2024-04-30T04:12:50.153329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 331
36.0%
2 134
14.6%
F 92
 
10.0%
1 81
 
8.8%
3 58
 
6.3%
4 53
 
5.8%
9 49
 
5.3%
C 46
 
5.0%
D 46
 
5.0%
5 11
 
1.2%
Other values (3) 19
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 736
80.0%
Uppercase Letter 184
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 331
45.0%
2 134
18.2%
1 81
 
11.0%
3 58
 
7.9%
4 53
 
7.2%
9 49
 
6.7%
5 11
 
1.5%
6 8
 
1.1%
7 7
 
1.0%
8 4
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
F 92
50.0%
C 46
25.0%
D 46
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 736
80.0%
Latin 184
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 331
45.0%
2 134
18.2%
1 81
 
11.0%
3 58
 
7.9%
4 53
 
7.2%
9 49
 
6.7%
5 11
 
1.5%
6 8
 
1.1%
7 7
 
1.0%
8 4
 
0.5%
Latin
ValueCountFrequency (%)
F 92
50.0%
C 46
25.0%
D 46
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 920
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 331
36.0%
2 134
14.6%
F 92
 
10.0%
1 81
 
8.8%
3 58
 
6.3%
4 53
 
5.8%
9 49
 
5.3%
C 46
 
5.0%
D 46
 
5.0%
5 11
 
1.2%
Other values (3) 19
 
2.1%

인허가일자
Date

Distinct43
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2015-04-08 00:00:00
Maximum2023-10-31 00:00:00
2024-04-30T04:12:50.277032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:12:50.394763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
1
35 
3
7 
5
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 35
76.1%
3 7
 
15.2%
5 4
 
8.7%

Length

2024-04-30T04:12:50.497904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:12:50.576527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 35
76.1%
3 7
 
15.2%
5 4
 
8.7%

영업상태명
Categorical

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
영업/정상
35 
폐업
7 
제외/삭제/전출
4 

Length

Max length8
Median length5
Mean length4.8043478
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 35
76.1%
폐업 7
 
15.2%
제외/삭제/전출 4
 
8.7%

Length

2024-04-30T04:12:50.671245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:12:50.767764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 35
76.1%
폐업 7
 
15.2%
제외/삭제/전출 4
 
8.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
13
35 
3
7 
15
4 

Length

Max length2
Median length2
Mean length1.8478261
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 35
76.1%
3 7
 
15.2%
15 4
 
8.7%

Length

2024-04-30T04:12:50.850951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:12:50.939334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 35
76.1%
3 7
 
15.2%
15 4
 
8.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
영업중
35 
폐업
7 
전출
4 

Length

Max length3
Median length3
Mean length2.7608696
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 35
76.1%
폐업 7
 
15.2%
전출 4
 
8.7%

Length

2024-04-30T04:12:51.034122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:12:51.126983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 35
76.1%
폐업 7
 
15.2%
전출 4
 
8.7%

폐업일자
Date

MISSING 

Distinct11
Distinct (%)100.0%
Missing35
Missing (%)76.1%
Memory size500.0 B
Minimum2019-10-04 00:00:00
Maximum2024-02-28 00:00:00
2024-04-30T04:12:51.194176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:12:51.279013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

전화번호
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing41
Missing (%)89.1%
Memory size500.0 B
2024-04-30T04:12:51.392316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length7.8
Min length1

Characters and Unicode

Total characters39
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row02-514-7434
2nd row023541908
3rd row023072621
4th row023820023
5th row'
ValueCountFrequency (%)
02-514-7434 1
20.0%
023541908 1
20.0%
023072621 1
20.0%
023820023 1
20.0%
1
20.0%
2024-04-30T04:12:51.604899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8
20.5%
2 8
20.5%
3 5
12.8%
4 4
10.3%
1 3
 
7.7%
- 2
 
5.1%
5 2
 
5.1%
7 2
 
5.1%
8 2
 
5.1%
9 1
 
2.6%
Other values (2) 2
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 36
92.3%
Dash Punctuation 2
 
5.1%
Other Punctuation 1
 
2.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8
22.2%
2 8
22.2%
3 5
13.9%
4 4
11.1%
1 3
 
8.3%
5 2
 
5.6%
7 2
 
5.6%
8 2
 
5.6%
9 1
 
2.8%
6 1
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
' 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 39
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8
20.5%
2 8
20.5%
3 5
12.8%
4 4
10.3%
1 3
 
7.7%
- 2
 
5.1%
5 2
 
5.1%
7 2
 
5.1%
8 2
 
5.1%
9 1
 
2.6%
Other values (2) 2
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8
20.5%
2 8
20.5%
3 5
12.8%
4 4
10.3%
1 3
 
7.7%
- 2
 
5.1%
5 2
 
5.1%
7 2
 
5.1%
8 2
 
5.1%
9 1
 
2.6%
Other values (2) 2
 
5.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

지번주소
Text

MISSING 

Distinct45
Distinct (%)100.0%
Missing1
Missing (%)2.2%
Memory size500.0 B
2024-04-30T04:12:51.782373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length36
Mean length26
Min length19

Characters and Unicode

Total characters1170
Distinct characters104
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)100.0%

Sample

1st row서울특별시 은평구 증산동 ***-**번지 *층
2nd row서울특별시 은평구 대조동 **-**번지 ***호
3rd row서울특별시 은평구 응암동 ***번지 백련산힐스테이트*차 ***동 ****호
4th row서울특별시 은평구 역촌동 *-**번지 ***호
5th row서울특별시 은평구 대조동 ***-*번지 *층
ValueCountFrequency (%)
서울특별시 45
19.7%
은평구 45
19.7%
31
13.5%
호 16
 
7.0%
번지 13
 
5.7%
응암동 8
 
3.5%
녹번동 6
 
2.6%
대조동 6
 
2.6%
증산동 5
 
2.2%
층 5
 
2.2%
Other values (30) 49
21.4%
2024-04-30T04:12:52.054004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 254
21.7%
203
17.4%
동 51
 
4.4%
은 49
 
4.2%
평 49
 
4.2%
서 47
 
4.0%
특 45
 
3.8%
별 45
 
3.8%
시 45
 
3.8%
구 45
 
3.8%
Other values (94) 337
28.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 664
56.8%
Other Punctuation 254
 
21.7%
Space Separator 203
 
17.4%
Dash Punctuation 40
 
3.4%
Decimal Number 7
 
0.6%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 51
 
7.7%
은 49
 
7.4%
평 49
 
7.4%
서 47
 
7.1%
특 45
 
6.8%
별 45
 
6.8%
시 45
 
6.8%
구 45
 
6.8%
울 45
 
6.8%
번 22
 
3.3%
Other values (84) 221
33.3%
Decimal Number
ValueCountFrequency (%)
1 2
28.6%
3 1
14.3%
7 1
14.3%
4 1
14.3%
2 1
14.3%
0 1
14.3%
Other Punctuation
ValueCountFrequency (%)
* 254
100.0%
Space Separator
ValueCountFrequency (%)
203
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 664
56.8%
Common 504
43.1%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 51
 
7.7%
은 49
 
7.4%
평 49
 
7.4%
서 47
 
7.1%
특 45
 
6.8%
별 45
 
6.8%
시 45
 
6.8%
구 45
 
6.8%
울 45
 
6.8%
번 22
 
3.3%
Other values (84) 221
33.3%
Common
ValueCountFrequency (%)
* 254
50.4%
203
40.3%
- 40
 
7.9%
1 2
 
0.4%
3 1
 
0.2%
7 1
 
0.2%
4 1
 
0.2%
2 1
 
0.2%
0 1
 
0.2%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 664
56.8%
ASCII 506
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 254
50.2%
203
40.1%
- 40
 
7.9%
1 2
 
0.4%
B 2
 
0.4%
3 1
 
0.2%
7 1
 
0.2%
4 1
 
0.2%
2 1
 
0.2%
0 1
 
0.2%
Hangul
ValueCountFrequency (%)
동 51
 
7.7%
은 49
 
7.4%
평 49
 
7.4%
서 47
 
7.1%
특 45
 
6.8%
별 45
 
6.8%
시 45
 
6.8%
구 45
 
6.8%
울 45
 
6.8%
번 22
 
3.3%
Other values (84) 221
33.3%

도로명주소
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-04-30T04:12:52.252167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length43
Mean length34.869565
Min length23

Characters and Unicode

Total characters1604
Distinct characters123
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)100.0%

Sample

1st row서울특별시 은평구 수색로 ***, *층 (증산동)
2nd row서울특별시 은평구 서오릉로**길 **, ***호 (대조동)
3rd row서울특별시 은평구 백련산로*길 **, ***동 ****호 (응암동, 백련산힐스테이트*차)
4th row서울특별시 은평구 연서로**길 *, ***호 (역촌동)
5th row서울특별시 은평구 통일로 ***, *층 (대조동)
ValueCountFrequency (%)
서울특별시 46
15.0%
46
15.0%
은평구 46
15.0%
호 23
 
7.5%
층 12
 
3.9%
응암동 8
 
2.6%
녹번동 7
 
2.3%
동 7
 
2.3%
수색로 6
 
2.0%
대조동 6
 
2.0%
Other values (61) 100
32.6%
2024-04-30T04:12:52.567705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 290
18.1%
261
16.3%
, 59
 
3.7%
은 56
 
3.5%
평 56
 
3.5%
동 55
 
3.4%
서 54
 
3.4%
로 46
 
2.9%
( 46
 
2.9%
구 46
 
2.9%
Other values (113) 635
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 872
54.4%
Other Punctuation 349
21.8%
Space Separator 261
 
16.3%
Open Punctuation 46
 
2.9%
Close Punctuation 46
 
2.9%
Dash Punctuation 19
 
1.2%
Decimal Number 7
 
0.4%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
은 56
 
6.4%
평 56
 
6.4%
동 55
 
6.3%
서 54
 
6.2%
로 46
 
5.3%
구 46
 
5.3%
울 46
 
5.3%
시 46
 
5.3%
별 46
 
5.3%
특 46
 
5.3%
Other values (100) 375
43.0%
Decimal Number
ValueCountFrequency (%)
0 2
28.6%
4 1
14.3%
1 1
14.3%
2 1
14.3%
6 1
14.3%
3 1
14.3%
Other Punctuation
ValueCountFrequency (%)
* 290
83.1%
, 59
 
16.9%
Space Separator
ValueCountFrequency (%)
261
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 872
54.4%
Common 728
45.4%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
은 56
 
6.4%
평 56
 
6.4%
동 55
 
6.3%
서 54
 
6.2%
로 46
 
5.3%
구 46
 
5.3%
울 46
 
5.3%
시 46
 
5.3%
별 46
 
5.3%
특 46
 
5.3%
Other values (100) 375
43.0%
Common
ValueCountFrequency (%)
* 290
39.8%
261
35.9%
, 59
 
8.1%
( 46
 
6.3%
) 46
 
6.3%
- 19
 
2.6%
0 2
 
0.3%
4 1
 
0.1%
1 1
 
0.1%
2 1
 
0.1%
Other values (2) 2
 
0.3%
Latin
ValueCountFrequency (%)
B 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 872
54.4%
ASCII 732
45.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 290
39.6%
261
35.7%
, 59
 
8.1%
( 46
 
6.3%
) 46
 
6.3%
- 19
 
2.6%
B 4
 
0.5%
0 2
 
0.3%
4 1
 
0.1%
1 1
 
0.1%
Other values (3) 3
 
0.4%
Hangul
ValueCountFrequency (%)
은 56
 
6.4%
평 56
 
6.4%
동 55
 
6.3%
서 54
 
6.2%
로 46
 
5.3%
구 46
 
5.3%
울 46
 
5.3%
시 46
 
5.3%
별 46
 
5.3%
특 46
 
5.3%
Other values (100) 375
43.0%

도로명우편번호
Real number (ℝ)

Distinct38
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6013.3913
Minimum3304
Maximum122930
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-04-30T04:12:52.674177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3304
5-th percentile3317.5
Q13382
median3404
Q33468.5
95-th percentile3504
Maximum122930
Range119626
Interquartile range (IQR)86.5

Descriptive statistics

Standard deviation17621.587
Coefficient of variation (CV)2.9303908
Kurtosis45.998913
Mean6013.3913
Median Absolute Deviation (MAD)50
Skewness6.7822124
Sum276616
Variance3.1052032 × 108
MonotonicityNot monotonic
2024-04-30T04:12:52.794767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
3504 4
 
8.7%
3385 3
 
6.5%
3382 3
 
6.5%
3328 2
 
4.3%
3397 1
 
2.2%
3342 1
 
2.2%
3403 1
 
2.2%
3396 1
 
2.2%
3452 1
 
2.2%
3467 1
 
2.2%
Other values (28) 28
60.9%
ValueCountFrequency (%)
3304 1
2.2%
3306 1
2.2%
3314 1
2.2%
3328 2
4.3%
3342 1
2.2%
3344 1
2.2%
3352 1
2.2%
3373 1
2.2%
3376 1
2.2%
3379 1
2.2%
ValueCountFrequency (%)
122930 1
 
2.2%
3504 4
8.7%
3502 1
 
2.2%
3493 1
 
2.2%
3487 1
 
2.2%
3482 1
 
2.2%
3481 1
 
2.2%
3476 1
 
2.2%
3469 1
 
2.2%
3467 1
 
2.2%

사업장명
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-04-30T04:12:52.987211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length18
Mean length10.326087
Min length3

Characters and Unicode

Total characters475
Distinct characters152
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)100.0%

Sample

1st row(주)뽀빠이엔터테인먼트
2nd row별별 ACT
3rd row봉프로
4th row스팽글뮤직
5th row랑엔터테인먼트
ValueCountFrequency (%)
주식회사 9
 
12.2%
엔터테인먼트 2
 
2.7%
entertainment 2
 
2.7%
주)뽀빠이엔터테인먼트 1
 
1.4%
미디어코드 1
 
1.4%
리버스플랜 1
 
1.4%
디핀칼즈레코즈 1
 
1.4%
한국스마트협동조합 1
 
1.4%
아이콰 1
 
1.4%
유니파이뮤직 1
 
1.4%
Other values (54) 54
73.0%
2024-04-30T04:12:53.294585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28
 
5.9%
트 18
 
3.8%
이 17
 
3.6%
인 15
 
3.2%
먼 15
 
3.2%
스 14
 
2.9%
주 14
 
2.9%
엔 13
 
2.7%
터 13
 
2.7%
테 13
 
2.7%
Other values (142) 315
66.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 326
68.6%
Lowercase Letter 50
 
10.5%
Uppercase Letter 39
 
8.2%
Space Separator 28
 
5.9%
Open Punctuation 11
 
2.3%
Close Punctuation 11
 
2.3%
Other Punctuation 6
 
1.3%
Dash Punctuation 2
 
0.4%
Decimal Number 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 18
 
5.5%
이 17
 
5.2%
인 15
 
4.6%
먼 15
 
4.6%
스 14
 
4.3%
주 14
 
4.3%
엔 13
 
4.0%
터 13
 
4.0%
테 13
 
4.0%
사 12
 
3.7%
Other values (101) 182
55.8%
Uppercase Letter
ValueCountFrequency (%)
M 4
 
10.3%
E 4
 
10.3%
H 3
 
7.7%
L 3
 
7.7%
A 3
 
7.7%
T 3
 
7.7%
R 3
 
7.7%
G 2
 
5.1%
C 2
 
5.1%
O 2
 
5.1%
Other values (7) 10
25.6%
Lowercase Letter
ValueCountFrequency (%)
n 10
20.0%
t 9
18.0%
e 7
14.0%
a 4
 
8.0%
i 3
 
6.0%
r 3
 
6.0%
m 3
 
6.0%
l 2
 
4.0%
s 2
 
4.0%
u 2
 
4.0%
Other values (5) 5
10.0%
Other Punctuation
ValueCountFrequency (%)
. 4
66.7%
, 1
 
16.7%
& 1
 
16.7%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 326
68.6%
Latin 89
 
18.7%
Common 60
 
12.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 18
 
5.5%
이 17
 
5.2%
인 15
 
4.6%
먼 15
 
4.6%
스 14
 
4.3%
주 14
 
4.3%
엔 13
 
4.0%
터 13
 
4.0%
테 13
 
4.0%
사 12
 
3.7%
Other values (101) 182
55.8%
Latin
ValueCountFrequency (%)
n 10
 
11.2%
t 9
 
10.1%
e 7
 
7.9%
M 4
 
4.5%
E 4
 
4.5%
a 4
 
4.5%
i 3
 
3.4%
H 3
 
3.4%
L 3
 
3.4%
A 3
 
3.4%
Other values (22) 39
43.8%
Common
ValueCountFrequency (%)
28
46.7%
( 11
 
18.3%
) 11
 
18.3%
. 4
 
6.7%
- 2
 
3.3%
4 1
 
1.7%
2 1
 
1.7%
, 1
 
1.7%
& 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 326
68.6%
ASCII 149
31.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28
18.8%
( 11
 
7.4%
) 11
 
7.4%
n 10
 
6.7%
t 9
 
6.0%
e 7
 
4.7%
. 4
 
2.7%
M 4
 
2.7%
E 4
 
2.7%
a 4
 
2.7%
Other values (31) 57
38.3%
Hangul
ValueCountFrequency (%)
트 18
 
5.5%
이 17
 
5.2%
인 15
 
4.6%
먼 15
 
4.6%
스 14
 
4.3%
주 14
 
4.3%
엔 13
 
4.0%
터 13
 
4.0%
테 13
 
4.0%
사 12
 
3.7%
Other values (101) 182
55.8%

최종수정일자
Date

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2015-07-24 18:01:39
Maximum2024-03-20 16:30:40
2024-04-30T04:12:53.415517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:12:53.538886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
I
31 
U
15 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 31
67.4%
U 15
32.6%

Length

2024-04-30T04:12:53.645059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:12:53.716144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 31
67.4%
u 15
32.6%

데이터갱신일자
Date

Distinct36
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:01:00
2024-04-30T04:12:53.798831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:12:53.920221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

좌표정보(X)
Real number (ℝ)

Distinct44
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean192707.19
Minimum190116.34
Maximum194264.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-04-30T04:12:54.043088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190116.34
5-th percentile191082.87
Q1192225.93
median192833
Q3193346.57
95-th percentile194188.3
Maximum194264.65
Range4148.3131
Interquartile range (IQR)1120.638

Descriptive statistics

Standard deviation977.56925
Coefficient of variation (CV)0.005072822
Kurtosis-0.025659357
Mean192707.19
Median Absolute Deviation (MAD)589.6669
Skewness-0.57587904
Sum8864530.6
Variance955641.63
MonotonicityNot monotonic
2024-04-30T04:12:54.146856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
191157.444317911 2
 
4.3%
194197.238221515 2
 
4.3%
192592.332060337 1
 
2.2%
193258.654120507 1
 
2.2%
192806.013554752 1
 
2.2%
193606.463937472 1
 
2.2%
192307.190902241 1
 
2.2%
192687.121595353 1
 
2.2%
192945.891991944 1
 
2.2%
193917.68856143 1
 
2.2%
Other values (34) 34
73.9%
ValueCountFrequency (%)
190116.340777097 1
2.2%
190846.825135398 1
2.2%
191058.008397579 1
2.2%
191157.444317911 2
4.3%
191192.051375093 1
2.2%
191517.577809717 1
2.2%
191574.65515912 1
2.2%
191630.812407802 1
2.2%
191964.953093895 1
2.2%
192204.001717085 1
2.2%
ValueCountFrequency (%)
194264.653881111 1
2.2%
194197.238221515 2
4.3%
194161.469404983 1
2.2%
193917.68856143 1
2.2%
193795.947947527 1
2.2%
193753.152885889 1
2.2%
193676.523060074 1
2.2%
193606.463937472 1
2.2%
193537.151289241 1
2.2%
193436.705031211 1
2.2%

좌표정보(Y)
Real number (ℝ)

Distinct44
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean455581.29
Minimum452890
Maximum460734.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-04-30T04:12:54.427446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452890
5-th percentile452929.65
Q1454360.94
median455479.97
Q3456557.32
95-th percentile458310.49
Maximum460734.65
Range7844.6452
Interquartile range (IQR)2196.3808

Descriptive statistics

Standard deviation1789.8017
Coefficient of variation (CV)0.0039286112
Kurtosis0.22078219
Mean455581.29
Median Absolute Deviation (MAD)1126.0075
Skewness0.54789495
Sum20956739
Variance3203390.3
MonotonicityNot monotonic
2024-04-30T04:12:54.540795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
452924.117735363 2
 
4.3%
455432.835557713 2
 
4.3%
458357.272896818 1
 
2.2%
457713.081036234 1
 
2.2%
456063.783859104 1
 
2.2%
456462.224435035 1
 
2.2%
454659.169657715 1
 
2.2%
454432.746574595 1
 
2.2%
457172.764137396 1
 
2.2%
460734.648208213 1
 
2.2%
Other values (34) 34
73.9%
ValueCountFrequency (%)
452890.003005512 1
2.2%
452924.117735363 2
4.3%
452946.246733537 1
2.2%
453246.597175201 1
2.2%
453444.375787943 1
2.2%
453501.217381277 1
2.2%
453656.48822554 1
2.2%
453670.444959582 1
2.2%
453784.393257514 1
2.2%
454275.310565524 1
2.2%
ValueCountFrequency (%)
460734.648208213 1
2.2%
459136.547595152 1
2.2%
458357.272896818 1
2.2%
458170.154691882 1
2.2%
457917.363178268 1
2.2%
457713.081036234 1
2.2%
457572.510411434 1
2.2%
457411.017276453 1
2.2%
457261.813862056 1
2.2%
457172.764137396 1
2.2%

문화체육업종명
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
대중문화예술기획업
30 
<NA>
16 

Length

Max length9
Median length9
Mean length7.2608696
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대중문화예술기획업 30
65.2%
<NA> 16
34.8%

Length

2024-04-30T04:12:54.651920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:12:54.738851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대중문화예술기획업 30
65.2%
na 16
34.8%

문화사업자구분명
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
유통관련업
30 
<NA>
16 

Length

Max length5
Median length5
Mean length4.6521739
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 30
65.2%
<NA> 16
34.8%

Length

2024-04-30T04:12:54.829317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:12:54.927016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 30
65.2%
na 16
34.8%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
0
 
4

Length

Max length4
Median length4
Mean length3.7391304
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> 42
91.3%
0 4
 
8.7%

Length

2024-04-30T04:12:55.028277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:12:55.126108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
0 4
 
8.7%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

제작취급품목내용
Text

MISSING 

Distinct25
Distinct (%)83.3%
Missing16
Missing (%)34.8%
Memory size500.0 B
2024-04-30T04:12:55.271848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length23
Mean length12.133333
Min length4

Characters and Unicode

Total characters364
Distinct characters69
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

Unique22 ?
Unique (%)73.3%

Sample

1st row엔터테인먼트,매니지먼트업,모델에이전시,영화및드라마제작업
2nd row연예인 대리
3rd row매니지먼트
4th row음반제작,공연기획,매니지먼트
5th row음반제작 및 유통,녹음실대여,연예보조서비스
ValueCountFrequency (%)
매니지먼트 11
 
17.5%
음반제작 4
 
6.3%
공연 3
 
4.8%
엔터테인먼트 3
 
4.8%
공연기획 3
 
4.8%
연예인 3
 
4.8%
음반 2
 
3.2%
연예기획 2
 
3.2%
전시 2
 
3.2%
대리 2
 
3.2%
Other values (27) 28
44.4%
2024-04-30T04:12:55.553151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33
 
9.1%
, 32
 
8.8%
먼 21
 
5.8%
트 21
 
5.8%
연 19
 
5.2%
니 17
 
4.7%
매 16
 
4.4%
지 16
 
4.4%
기 14
 
3.8%
획 12
 
3.3%
Other values (59) 163
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 298
81.9%
Space Separator 33
 
9.1%
Other Punctuation 33
 
9.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
먼 21
 
7.0%
트 21
 
7.0%
연 19
 
6.4%
니 17
 
5.7%
매 16
 
5.4%
지 16
 
5.4%
기 14
 
4.7%
획 12
 
4.0%
음 11
 
3.7%
작 10
 
3.4%
Other values (56) 141
47.3%
Other Punctuation
ValueCountFrequency (%)
, 32
97.0%
/ 1
 
3.0%
Space Separator
ValueCountFrequency (%)
33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 298
81.9%
Common 66
 
18.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
먼 21
 
7.0%
트 21
 
7.0%
연 19
 
6.4%
니 17
 
5.7%
매 16
 
5.4%
지 16
 
5.4%
기 14
 
4.7%
획 12
 
4.0%
음 11
 
3.7%
작 10
 
3.4%
Other values (56) 141
47.3%
Common
ValueCountFrequency (%)
33
50.0%
, 32
48.5%
/ 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 298
81.9%
ASCII 66
 
18.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
33
50.0%
, 32
48.5%
/ 1
 
1.5%
Hangul
ValueCountFrequency (%)
먼 21
 
7.0%
트 21
 
7.0%
연 19
 
6.4%
니 17
 
5.7%
매 16
 
5.4%
지 16
 
5.4%
기 14
 
4.7%
획 12
 
4.0%
음 11
 
3.7%
작 10
 
3.4%
Other values (56) 141
47.3%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)80.0%
Missing36
Missing (%)78.3%
Infinite0
Infinite (%)0.0%
Mean42.224
Minimum0
Maximum94.01
Zeros3
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-04-30T04:12:55.646250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17.6175
median41.58
Q363.065
95-th percentile92.4665
Maximum94.01
Range94.01
Interquartile range (IQR)55.4475

Descriptive statistics

Standard deviation35.643857
Coefficient of variation (CV)0.84416108
Kurtosis-1.2899981
Mean42.224
Median Absolute Deviation (MAD)32.06
Skewness0.12343575
Sum422.24
Variance1270.4846
MonotonicityNot monotonic
2024-04-30T04:12:55.729434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 3
 
6.5%
90.58 1
 
2.2%
30.47 1
 
2.2%
59.9 1
 
2.2%
94.01 1
 
2.2%
64.12 1
 
2.2%
33.37 1
 
2.2%
49.79 1
 
2.2%
(Missing) 36
78.3%
ValueCountFrequency (%)
0.0 3
6.5%
30.47 1
 
2.2%
33.37 1
 
2.2%
49.79 1
 
2.2%
59.9 1
 
2.2%
64.12 1
 
2.2%
90.58 1
 
2.2%
94.01 1
 
2.2%
ValueCountFrequency (%)
94.01 1
 
2.2%
90.58 1
 
2.2%
64.12 1
 
2.2%
59.9 1
 
2.2%
49.79 1
 
2.2%
33.37 1
 
2.2%
30.47 1
 
2.2%
0.0 3
6.5%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
0
 
4

Length

Max length4
Median length4
Mean length3.7391304
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> 42
91.3%
0 4
 
8.7%

Length

2024-04-30T04:12:55.824683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:12:55.904370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
0 4
 
8.7%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
0
 
4

Length

Max length4
Median length4
Mean length3.7391304
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> 42
91.3%
0 4
 
8.7%

Length

2024-04-30T04:12:56.005592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:12:56.087979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
0 4
 
8.7%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
0
 
4

Length

Max length4
Median length4
Mean length3.7391304
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> 42
91.3%
0 4
 
8.7%

Length

2024-04-30T04:12:56.168470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:12:56.245809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
0 4
 
8.7%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
0
 
4

Length

Max length4
Median length4
Mean length3.7391304
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> 42
91.3%
0 4
 
8.7%

Length

2024-04-30T04:12:56.335514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:12:56.418946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
0 4
 
8.7%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
0
 
4

Length

Max length4
Median length4
Mean length3.7391304
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> 42
91.3%
0 4
 
8.7%

Length

2024-04-30T04:12:56.499159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:12:56.577712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
0 4
 
8.7%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
0
 
4

Length

Max length4
Median length4
Mean length3.7391304
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> 42
91.3%
0 4
 
8.7%

Length

2024-04-30T04:12:56.660762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:12:56.741822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
0 4
 
8.7%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
0
 
4

Length

Max length4
Median length4
Mean length3.7391304
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> 42
91.3%
0 4
 
8.7%

Length

2024-04-30T04:12:56.828728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:12:56.909774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
0 4
 
8.7%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03110000CDFF324109201500000220150519<NA>3폐업3폐업20191108<NA><NA><NA>02-514-7434<NA><NA>서울특별시 은평구 증산동 ***-**번지 *층서울특별시 은평구 수색로 ***, *층 (증산동)3504(주)뽀빠이엔터테인먼트2019-11-12 14:36:41U2019-11-14 02:40:00.0<NA>191157.444318452924.117735대중문화예술기획업유통관련업<NA><NA>엔터테인먼트,매니지먼트업,모델에이전시,영화및드라마제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13110000CDFF324109201500000620150720<NA>3폐업3폐업20191220<NA><NA><NA><NA><NA><NA>서울특별시 은평구 대조동 **-**번지 ***호서울특별시 은평구 서오릉로**길 **, ***호 (대조동)3394별별 ACT2019-12-20 14:32:14U2019-12-22 02:40:00.0<NA>192855.165997456589.023733대중문화예술기획업유통관련업<NA><NA>연예인 대리<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23110000CDFF324109201500000720150724<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 응암동 ***번지 백련산힐스테이트*차 ***동 ****호서울특별시 은평구 백련산로*길 **, ***동 ****호 (응암동, 백련산힐스테이트*차)3476봉프로2019-08-12 08:49:43U2019-08-14 02:40:00.0<NA>193326.661928454458.493979대중문화예술기획업유통관련업<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>
33110000CDFF324109201500000920150724<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 역촌동 *-**번지 ***호서울특별시 은평구 연서로**길 *, ***호 (역촌동)3399스팽글뮤직2015-07-24 18:01:39I2018-08-31 23:59:59.0<NA>192523.503953456136.116166대중문화예술기획업유통관련업<NA><NA>음반제작,공연기획,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>
43110000CDFF324109201500001020150724<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 대조동 ***-*번지 *층서울특별시 은평구 통일로 ***, *층 (대조동)3385랑엔터테인먼트2015-07-24 18:01:49I2018-08-31 23:59:59.0<NA>193040.646773457261.813862대중문화예술기획업유통관련업<NA><NA>음반제작 및 유통,녹음실대여,연예보조서비스<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53110000CDFF324109201500001120150803<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 응암동 ***번지 경남아파트 ***동 ***호서울특별시 은평구 가좌로*나길 **, ***동 ***호 (응암동, 경남아파트)122930GTR Entertainment2015-08-03 09:05:12I2018-08-31 23:59:59.0<NA>192896.41239453444.375788대중문화예술기획업유통관련업<NA><NA>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>
63110000CDFF324109201600000220160908<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 역촌동 **-**번지서울특별시 은평구 진흥로*길 **-*, *층 (역촌동)3405뮤직컨테이너2016-09-08 09:34:04I2018-08-31 23:59:59.0<NA>192812.27719455614.410335대중문화예술기획업유통관련업<NA><NA>엔터테인먼트90.58<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73110000CDFF324109201600000320161110<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 서오릉로 **, ***동 **층 ****호 (녹번동, 녹번*차현대아파트)3379젤러스엔터테인먼트(주)2016-11-10 10:42:08I2018-08-31 23:59:59.0<NA>193273.078665455867.546007대중문화예술기획업유통관련업<NA><NA>연예인매니지먼트,음반제작/기획,연예인 대리, 방송물제작<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83110000CDFF324109201600000420161228<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 불광동 ***-**번지서울특별시 은평구 통일로**길 **-**, ***호 (불광동, 스카이힐튼)3352알바트로스 기획2016-12-28 16:45:10I2018-08-31 23:59:59.0<NA>193436.705031457411.017276대중문화예술기획업유통관련업<NA><NA>엔터테인먼트,음반,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>
93110000CDFF324109201700000120150727<NA>3폐업3폐업20191004<NA><NA><NA><NA><NA><NA>서울특별시 은평구 갈현동 ***-** *층서울특별시 은평구 통일로**길 **, *층 (갈현동)3328(주)에이원플러스엔터테인먼트2020-07-01 14:05:41U2020-07-03 02:40:00.0<NA>192707.089703457917.363178대중문화예술기획업유통관련업<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>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
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373110000CDFF324109202200000520221213<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 수색동 317-4 201호서울특별시 은평구 수색로 340-6, 201호 (수색동)3487Burn-Z(번지)2022-12-13 16:44:52I2021-11-01 23:05:00.0<NA>190116.340777453784.393258<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
383110000CDFF32410920220000062019-09-03<NA>3폐업3폐업2023-07-26<NA><NA><NA><NA><NA><NA>서울특별시 은평구 대조동 ***-* 금강블루 ***호서울특별시 은평구 통일로**길 *-*, ***호 (대조동, 금강블루)3385주식회사 이루다매니지먼트2023-09-11 13:13:15U2022-12-08 23:03:00.0<NA>193120.283659457089.85986<NA><NA><NA><NA><NA><NA><NA><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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413110000CDFF32410920230000042023-06-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 응암동 ***-** ***호서울특별시 은평구 가좌로*나길 **-**, ***호 (응암동)3481매니지먼트 에이원2023-07-26 09:50:06I2022-12-06 22:08:00.0<NA>192853.729316453501.217381<NA><NA><NA><NA><NA><NA><NA><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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