Overview

Dataset statistics

Number of variables56
Number of observations49
Missing cells1646
Missing cells (%)60.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.5 KiB
Average record size in memory490.7 B

Variable types

Categorical12
Text7
DateTime3
Unsupported30
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-16702/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
건물용도명 has constant value ""Constant
소재지우편번호 is highly imbalanced (72.4%)Imbalance
총층수 is highly imbalanced (85.6%)Imbalance
지상층수 is highly imbalanced (85.6%)Imbalance
인허가취소일자 has 49 (100.0%) missing valuesMissing
폐업일자 has 21 (42.9%) missing valuesMissing
휴업시작일자 has 49 (100.0%) missing valuesMissing
휴업종료일자 has 49 (100.0%) missing valuesMissing
재개업일자 has 49 (100.0%) missing valuesMissing
전화번호 has 32 (65.3%) missing valuesMissing
소재지면적 has 49 (100.0%) missing valuesMissing
지번주소 has 2 (4.1%) missing valuesMissing
도로명주소 has 2 (4.1%) missing valuesMissing
도로명우편번호 has 18 (36.7%) missing valuesMissing
업태구분명 has 49 (100.0%) missing valuesMissing
좌표정보(X) has 1 (2.0%) missing valuesMissing
좌표정보(Y) has 1 (2.0%) missing valuesMissing
주변환경명 has 49 (100.0%) missing valuesMissing
제작취급품목내용 has 23 (46.9%) missing valuesMissing
시설면적 has 28 (57.1%) missing valuesMissing
지하층수 has 49 (100.0%) missing valuesMissing
건물용도명 has 48 (98.0%) missing valuesMissing
통로너비 has 49 (100.0%) missing valuesMissing
조명시설조도 has 49 (100.0%) missing valuesMissing
노래방실수 has 49 (100.0%) missing valuesMissing
청소년실수 has 49 (100.0%) missing valuesMissing
비상계단여부 has 49 (100.0%) missing valuesMissing
비상구여부 has 49 (100.0%) missing valuesMissing
자동환기여부 has 49 (100.0%) missing valuesMissing
청소년실여부 has 49 (100.0%) missing valuesMissing
특수조명여부 has 49 (100.0%) missing valuesMissing
방음시설여부 has 49 (100.0%) missing valuesMissing
비디오재생기명 has 49 (100.0%) missing valuesMissing
조명시설유무 has 49 (100.0%) missing valuesMissing
음향시설여부 has 49 (100.0%) missing valuesMissing
편의시설여부 has 49 (100.0%) missing valuesMissing
소방시설여부 has 49 (100.0%) missing valuesMissing
총게임기수 has 49 (100.0%) missing valuesMissing
기존게임업외업종명 has 49 (100.0%) missing valuesMissing
제공게임물명 has 49 (100.0%) missing valuesMissing
공연장형태구분명 has 49 (100.0%) missing valuesMissing
품목명 has 49 (100.0%) missing valuesMissing
최초등록시점 has 49 (100.0%) missing valuesMissing
지역구분명 has 49 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 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
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
지하층수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
통로너비 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설조도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 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
총게임기수 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 6 (12.2%) zerosZeros

Reproduction

Analysis started2024-05-11 07:03:28.942468
Analysis finished2024-05-11 07:03:30.340494
Duration1.4 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
3110000
49 

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 49
100.0%

Length

2024-05-11T07:03:30.590581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:03:30.885418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 49
100.0%

관리번호
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2024-05-11T07:03:31.427474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters980
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

Unique49 ?
Unique (%)100.0%

Sample

1st rowCDFF2241082001000001
2nd rowCDFF2241082001000002
3rd rowCDFF2241082002000001
4th rowCDFF2241082003000001
5th rowCDFF2241082004000001
ValueCountFrequency (%)
cdff2241082001000001 1
 
2.0%
cdff2241082014000002 1
 
2.0%
cdff2241082015000003 1
 
2.0%
cdff2241082015000004 1
 
2.0%
cdff2241082015000005 1
 
2.0%
cdff2241082016000001 1
 
2.0%
cdff2241082016000002 1
 
2.0%
cdff2241082016000004 1
 
2.0%
cdff2241082017000001 1
 
2.0%
cdff2241082018000001 1
 
2.0%
Other values (39) 39
79.6%
2024-05-11T07:03:32.444397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 362
36.9%
2 176
18.0%
1 101
 
10.3%
F 98
 
10.0%
4 62
 
6.3%
8 55
 
5.6%
C 49
 
5.0%
D 49
 
5.0%
3 10
 
1.0%
5 10
 
1.0%
Other values (3) 8
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 784
80.0%
Uppercase Letter 196
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 362
46.2%
2 176
22.4%
1 101
 
12.9%
4 62
 
7.9%
8 55
 
7.0%
3 10
 
1.3%
5 10
 
1.3%
6 4
 
0.5%
7 2
 
0.3%
9 2
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 98
50.0%
C 49
25.0%
D 49
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 784
80.0%
Latin 196
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 362
46.2%
2 176
22.4%
1 101
 
12.9%
4 62
 
7.9%
8 55
 
7.0%
3 10
 
1.3%
5 10
 
1.3%
6 4
 
0.5%
7 2
 
0.3%
9 2
 
0.3%
Latin
ValueCountFrequency (%)
F 98
50.0%
C 49
25.0%
D 49
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 980
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 362
36.9%
2 176
18.0%
1 101
 
10.3%
F 98
 
10.0%
4 62
 
6.3%
8 55
 
5.6%
C 49
 
5.0%
D 49
 
5.0%
3 10
 
1.0%
5 10
 
1.0%
Other values (3) 8
 
0.8%

인허가일자
Date

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
Minimum2001-04-28 00:00:00
Maximum2024-04-26 00:00:00
2024-05-11T07:03:32.935602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:03:33.578259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

영업상태코드
Categorical

Distinct4
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
1
21 
3
18 
4
8 
5
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
1 21
42.9%
3 18
36.7%
4 8
 
16.3%
5 2
 
4.1%

Length

2024-05-11T07:03:34.033354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:03:34.419045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 21
42.9%
3 18
36.7%
4 8
 
16.3%
5 2
 
4.1%

영업상태명
Categorical

Distinct4
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
영업/정상
21 
폐업
18 
취소/말소/만료/정지/중지
8 
제외/삭제/전출
 
2

Length

Max length14
Median length8
Mean length5.4897959
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row취소/말소/만료/정지/중지
3rd row취소/말소/만료/정지/중지
4th row취소/말소/만료/정지/중지
5th row취소/말소/만료/정지/중지

Common Values

ValueCountFrequency (%)
영업/정상 21
42.9%
폐업 18
36.7%
취소/말소/만료/정지/중지 8
 
16.3%
제외/삭제/전출 2
 
4.1%

Length

2024-05-11T07:03:34.882282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:03:35.291936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 21
42.9%
폐업 18
36.7%
취소/말소/만료/정지/중지 8
 
16.3%
제외/삭제/전출 2
 
4.1%

상세영업상태코드
Categorical

Distinct4
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
13
21 
3
18 
35
8 
15
 
2

Length

Max length2
Median length2
Mean length1.6326531
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row35
3rd row35
4th row35
5th row35

Common Values

ValueCountFrequency (%)
13 21
42.9%
3 18
36.7%
35 8
 
16.3%
15 2
 
4.1%

Length

2024-05-11T07:03:35.744260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:03:36.076150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 21
42.9%
3 18
36.7%
35 8
 
16.3%
15 2
 
4.1%

상세영업상태명
Categorical

Distinct4
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
영업중
21 
폐업
18 
직권말소
8 
전출
 
2

Length

Max length4
Median length3
Mean length2.755102
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 21
42.9%
폐업 18
36.7%
직권말소 8
 
16.3%
전출 2
 
4.1%

Length

2024-05-11T07:03:36.463692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:03:36.852016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 21
42.9%
폐업 18
36.7%
직권말소 8
 
16.3%
전출 2
 
4.1%

폐업일자
Date

MISSING 

Distinct21
Distinct (%)75.0%
Missing21
Missing (%)42.9%
Memory size524.0 B
Minimum2006-05-02 00:00:00
Maximum2023-12-22 00:00:00
2024-05-11T07:03:37.237448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:03:37.641244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

전화번호
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing32
Missing (%)65.3%
Memory size524.0 B
2024-05-11T07:03:38.240114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10
Min length8

Characters and Unicode

Total characters170
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)100.0%

Sample

1st row02-382-9801
2nd row6378-4171
3rd row304-4303
4th row02-357-5396
5th row02-389-4551
ValueCountFrequency (%)
02-382-9801 1
 
5.9%
0260130982 1
 
5.9%
885-7470 1
 
5.9%
0231449900 1
 
5.9%
070-4699-6023 1
 
5.9%
023562486 1
 
5.9%
070-7399-5571 1
 
5.9%
023080126 1
 
5.9%
023844363 1
 
5.9%
304-4303 1
 
5.9%
Other values (7) 7
41.2%
2024-05-11T07:03:39.262466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 27
15.9%
3 22
12.9%
2 19
11.2%
- 18
10.6%
8 15
8.8%
5 14
8.2%
9 12
7.1%
4 11
6.5%
7 11
6.5%
6 11
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 152
89.4%
Dash Punctuation 18
 
10.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27
17.8%
3 22
14.5%
2 19
12.5%
8 15
9.9%
5 14
9.2%
9 12
7.9%
4 11
7.2%
7 11
7.2%
6 11
7.2%
1 10
 
6.6%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 170
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 27
15.9%
3 22
12.9%
2 19
11.2%
- 18
10.6%
8 15
8.8%
5 14
8.2%
9 12
7.1%
4 11
6.5%
7 11
6.5%
6 11
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 170
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 27
15.9%
3 22
12.9%
2 19
11.2%
- 18
10.6%
8 15
8.8%
5 14
8.2%
9 12
7.1%
4 11
6.5%
7 11
6.5%
6 11
6.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
<NA>
44 
122200
 
1
122842
 
1
122809
 
1
122879
 
1

Length

Max length6
Median length4
Mean length4.2040816
Min length4

Unique

Unique5 ?
Unique (%)10.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
89.8%
122200 1
 
2.0%
122842 1
 
2.0%
122809 1
 
2.0%
122879 1
 
2.0%
122815 1
 
2.0%

Length

2024-05-11T07:03:39.848515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:03:40.284579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
89.8%
122200 1
 
2.0%
122842 1
 
2.0%
122809 1
 
2.0%
122879 1
 
2.0%
122815 1
 
2.0%

지번주소
Text

MISSING 

Distinct45
Distinct (%)95.7%
Missing2
Missing (%)4.1%
Memory size524.0 B
2024-05-11T07:03:40.759056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length33
Mean length26.659574
Min length17

Characters and Unicode

Total characters1253
Distinct characters88
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

Unique43 ?
Unique (%)91.5%

Sample

1st row서울특별시 은평구 구산동 ***-***번지
2nd row서울특별시 은평구 불광동 ***-**번지 *층
3rd row서울특별시 은평구 신사동 ***-**번지
4th row서울특별시 은평구 녹번동 ***번지
5th row서울특별시 은평구 녹번동 ***-***번지
ValueCountFrequency (%)
서울특별시 47
19.1%
은평구 47
19.1%
26
10.6%
번지 21
8.5%
호 15
 
6.1%
층 10
 
4.1%
갈현동 8
 
3.3%
응암동 8
 
3.3%
신사동 7
 
2.8%
녹번동 7
 
2.8%
Other values (32) 50
20.3%
2024-05-11T07:03:41.954454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 282
22.5%
221
17.6%
동 53
 
4.2%
은 50
 
4.0%
구 50
 
4.0%
평 49
 
3.9%
서 48
 
3.8%
울 48
 
3.8%
특 47
 
3.8%
별 47
 
3.8%
Other values (78) 358
28.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 704
56.2%
Other Punctuation 283
22.6%
Space Separator 221
 
17.6%
Dash Punctuation 39
 
3.1%
Uppercase Letter 5
 
0.4%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 53
 
7.5%
은 50
 
7.1%
구 50
 
7.1%
평 49
 
7.0%
서 48
 
6.8%
울 48
 
6.8%
특 47
 
6.7%
별 47
 
6.7%
시 47
 
6.7%
번 29
 
4.1%
Other values (69) 236
33.5%
Uppercase Letter
ValueCountFrequency (%)
B 2
40.0%
T 1
20.0%
O 1
20.0%
P 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 282
99.6%
, 1
 
0.4%
Space Separator
ValueCountFrequency (%)
221
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 704
56.2%
Common 543
43.3%
Latin 6
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 53
 
7.5%
은 50
 
7.1%
구 50
 
7.1%
평 49
 
7.0%
서 48
 
6.8%
울 48
 
6.8%
특 47
 
6.7%
별 47
 
6.7%
시 47
 
6.7%
번 29
 
4.1%
Other values (69) 236
33.5%
Latin
ValueCountFrequency (%)
B 2
33.3%
T 1
16.7%
O 1
16.7%
P 1
16.7%
e 1
16.7%
Common
ValueCountFrequency (%)
* 282
51.9%
221
40.7%
- 39
 
7.2%
, 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 704
56.2%
ASCII 549
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 282
51.4%
221
40.3%
- 39
 
7.1%
B 2
 
0.4%
, 1
 
0.2%
T 1
 
0.2%
O 1
 
0.2%
P 1
 
0.2%
e 1
 
0.2%
Hangul
ValueCountFrequency (%)
동 53
 
7.5%
은 50
 
7.1%
구 50
 
7.1%
평 49
 
7.0%
서 48
 
6.8%
울 48
 
6.8%
특 47
 
6.7%
별 47
 
6.7%
시 47
 
6.7%
번 29
 
4.1%
Other values (69) 236
33.5%

도로명주소
Text

MISSING 

Distinct44
Distinct (%)93.6%
Missing2
Missing (%)4.1%
Memory size524.0 B
2024-05-11T07:03:42.667916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length41
Mean length34.297872
Min length24

Characters and Unicode

Total characters1612
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

Unique41 ?
Unique (%)87.2%

Sample

1st row서울특별시 은평구 갈현로**길 **-** (구산동)
2nd row서울특별시 은평구 증산로**가길 * (신사동)
3rd row서울특별시 은평구 은평로 ***-* (녹번동)
4th row서울특별시 은평구 진흥로 *** (녹번동)
5th row서울특별시 은평구 연서로**길 *-** (대조동,르네상스오피스텔***)
ValueCountFrequency (%)
서울특별시 47
15.6%
은평구 47
15.6%
47
15.6%
호 20
 
6.6%
층 9
 
3.0%
응암동 8
 
2.6%
동 7
 
2.3%
갈현동 7
 
2.3%
녹번동 6
 
2.0%
연서로**길 6
 
2.0%
Other values (64) 98
32.5%
2024-05-11T07:03:44.025887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 290
18.0%
269
16.7%
서 63
 
3.9%
은 59
 
3.7%
동 59
 
3.7%
평 58
 
3.6%
구 50
 
3.1%
, 49
 
3.0%
울 48
 
3.0%
시 48
 
3.0%
Other values (93) 619
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 884
54.8%
Other Punctuation 339
 
21.0%
Space Separator 269
 
16.7%
Open Punctuation 47
 
2.9%
Close Punctuation 47
 
2.9%
Dash Punctuation 19
 
1.2%
Uppercase Letter 7
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 63
 
7.1%
은 59
 
6.7%
동 59
 
6.7%
평 58
 
6.6%
구 50
 
5.7%
울 48
 
5.4%
시 48
 
5.4%
별 47
 
5.3%
특 47
 
5.3%
로 45
 
5.1%
Other values (83) 360
40.7%
Uppercase Letter
ValueCountFrequency (%)
B 4
57.1%
T 1
 
14.3%
O 1
 
14.3%
P 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
* 290
85.5%
, 49
 
14.5%
Space Separator
ValueCountFrequency (%)
269
100.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 884
54.8%
Common 721
44.7%
Latin 7
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 63
 
7.1%
은 59
 
6.7%
동 59
 
6.7%
평 58
 
6.6%
구 50
 
5.7%
울 48
 
5.4%
시 48
 
5.4%
별 47
 
5.3%
특 47
 
5.3%
로 45
 
5.1%
Other values (83) 360
40.7%
Common
ValueCountFrequency (%)
* 290
40.2%
269
37.3%
, 49
 
6.8%
( 47
 
6.5%
) 47
 
6.5%
- 19
 
2.6%
Latin
ValueCountFrequency (%)
B 4
57.1%
T 1
 
14.3%
O 1
 
14.3%
P 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 884
54.8%
ASCII 728
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 290
39.8%
269
37.0%
, 49
 
6.7%
( 47
 
6.5%
) 47
 
6.5%
- 19
 
2.6%
B 4
 
0.5%
T 1
 
0.1%
O 1
 
0.1%
P 1
 
0.1%
Hangul
ValueCountFrequency (%)
서 63
 
7.1%
은 59
 
6.7%
동 59
 
6.7%
평 58
 
6.6%
구 50
 
5.7%
울 48
 
5.4%
시 48
 
5.4%
별 47
 
5.3%
특 47
 
5.3%
로 45
 
5.1%
Other values (83) 360
40.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)83.9%
Missing18
Missing (%)36.7%
Infinite0
Infinite (%)0.0%
Mean14946.323
Minimum3300
Maximum122929
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2024-05-11T07:03:44.675166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3300
5-th percentile3302
Q13331.5
median3391
Q33456
95-th percentile122812.5
Maximum122929
Range119629
Interquartile range (IQR)124.5

Descriptive statistics

Standard deviation35904.106
Coefficient of variation (CV)2.4022033
Kurtosis6.6537217
Mean14946.323
Median Absolute Deviation (MAD)61
Skewness2.8684134
Sum463336
Variance1.2891048 × 109
MonotonicityNot monotonic
2024-05-11T07:03:45.121633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
3330 3
 
6.1%
3333 2
 
4.1%
3307 2
 
4.1%
3302 2
 
4.1%
3391 1
 
2.0%
3441 1
 
2.0%
3479 1
 
2.0%
3347 1
 
2.0%
3337 1
 
2.0%
3473 1
 
2.0%
Other values (16) 16
32.7%
(Missing) 18
36.7%
ValueCountFrequency (%)
3300 1
 
2.0%
3302 2
4.1%
3307 2
4.1%
3330 3
6.1%
3333 2
4.1%
3337 1
 
2.0%
3347 1
 
2.0%
3371 1
 
2.0%
3372 1
 
2.0%
3384 1
 
2.0%
ValueCountFrequency (%)
122929 1
2.0%
122825 1
2.0%
122800 1
2.0%
3479 1
2.0%
3476 1
2.0%
3473 1
2.0%
3472 1
2.0%
3457 1
2.0%
3455 1
2.0%
3453 1
2.0%

사업장명
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2024-05-11T07:03:46.023520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length18
Mean length9
Min length2

Characters and Unicode

Total characters441
Distinct characters176
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

Unique49 ?
Unique (%)100.0%

Sample

1st row리비도(LIBIDO)
2nd row붐붐
3rd row종합유통
4th row경평물산
5th row구기게임장
ValueCountFrequency (%)
주식회사 7
 
10.4%
플라스크게임즈 1
 
1.5%
에이치엠(hm)소프트 1
 
1.5%
엘드곤 1
 
1.5%
하나게임스 1
 
1.5%
에스플러스게임즈 1
 
1.5%
크레센도 1
 
1.5%
게임즈 1
 
1.5%
짱(ssy-jjang 1
 
1.5%
팀 1
 
1.5%
Other values (51) 51
76.1%
2024-05-11T07:03:47.780173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18
 
4.1%
( 15
 
3.4%
) 15
 
3.4%
주 13
 
2.9%
임 11
 
2.5%
게 11
 
2.5%
스 10
 
2.3%
이 10
 
2.3%
o 10
 
2.3%
사 10
 
2.3%
Other values (166) 318
72.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 280
63.5%
Lowercase Letter 63
 
14.3%
Uppercase Letter 43
 
9.8%
Space Separator 18
 
4.1%
Open Punctuation 15
 
3.4%
Close Punctuation 15
 
3.4%
Other Punctuation 3
 
0.7%
Dash Punctuation 2
 
0.5%
Decimal Number 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 13
 
4.6%
임 11
 
3.9%
게 11
 
3.9%
스 10
 
3.6%
이 10
 
3.6%
사 10
 
3.6%
회 9
 
3.2%
식 8
 
2.9%
트 8
 
2.9%
즈 8
 
2.9%
Other values (118) 182
65.0%
Lowercase Letter
ValueCountFrequency (%)
o 10
15.9%
e 8
12.7%
a 5
 
7.9%
i 4
 
6.3%
n 4
 
6.3%
r 4
 
6.3%
c 3
 
4.8%
s 3
 
4.8%
t 3
 
4.8%
b 3
 
4.8%
Other values (10) 16
25.4%
Uppercase Letter
ValueCountFrequency (%)
S 4
 
9.3%
M 4
 
9.3%
J 4
 
9.3%
B 3
 
7.0%
I 3
 
7.0%
N 3
 
7.0%
L 3
 
7.0%
C 2
 
4.7%
H 2
 
4.7%
D 2
 
4.7%
Other values (10) 13
30.2%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
3 1
50.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 280
63.5%
Latin 106
 
24.0%
Common 55
 
12.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 13
 
4.6%
임 11
 
3.9%
게 11
 
3.9%
스 10
 
3.6%
이 10
 
3.6%
사 10
 
3.6%
회 9
 
3.2%
식 8
 
2.9%
트 8
 
2.9%
즈 8
 
2.9%
Other values (118) 182
65.0%
Latin
ValueCountFrequency (%)
o 10
 
9.4%
e 8
 
7.5%
a 5
 
4.7%
S 4
 
3.8%
M 4
 
3.8%
J 4
 
3.8%
i 4
 
3.8%
n 4
 
3.8%
r 4
 
3.8%
B 3
 
2.8%
Other values (30) 56
52.8%
Common
ValueCountFrequency (%)
18
32.7%
( 15
27.3%
) 15
27.3%
. 2
 
3.6%
- 2
 
3.6%
2 1
 
1.8%
, 1
 
1.8%
3 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 280
63.5%
ASCII 161
36.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18
 
11.2%
( 15
 
9.3%
) 15
 
9.3%
o 10
 
6.2%
e 8
 
5.0%
a 5
 
3.1%
S 4
 
2.5%
M 4
 
2.5%
J 4
 
2.5%
i 4
 
2.5%
Other values (38) 74
46.0%
Hangul
ValueCountFrequency (%)
주 13
 
4.6%
임 11
 
3.9%
게 11
 
3.9%
스 10
 
3.6%
이 10
 
3.6%
사 10
 
3.6%
회 9
 
3.2%
식 8
 
2.9%
트 8
 
2.9%
즈 8
 
2.9%
Other values (118) 182
65.0%

최종수정일자
Date

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
Minimum2006-05-08 15:05:23
Maximum2024-04-26 15:56:01
2024-05-11T07:03:48.579186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:03:49.547177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
I
26 
U
23 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 26
53.1%
U 23
46.9%

Length

2024-05-11T07:03:50.403338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:03:50.917218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 26
53.1%
u 23
46.9%

데이터갱신일자
Categorical

Distinct17
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Memory size524.0 B
2018-08-31 23:59:59.0
21 
2021-12-07 21:01:00.0
13 
2021-05-16 02:40:00.0
 
1
2019-11-29 02:40:00.0
 
1
2022-11-01 22:04:00.0
 
1
Other values (12)
12 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique15 ?
Unique (%)30.6%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 21
42.9%
2021-12-07 21:01:00.0 13
26.5%
2021-05-16 02:40:00.0 1
 
2.0%
2019-11-29 02:40:00.0 1
 
2.0%
2022-11-01 22:04:00.0 1
 
2.0%
2021-12-09 00:01:00.0 1
 
2.0%
2021-01-17 02:40:00.0 1
 
2.0%
2021-10-31 02:40:00.0 1
 
2.0%
2021-02-26 02:40:00.0 1
 
2.0%
2022-12-08 22:01:00.0 1
 
2.0%
Other values (7) 7
 
14.3%

Length

2024-05-11T07:03:51.580530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 21
21.4%
23:59:59.0 21
21.4%
2021-12-07 13
13.3%
21:01:00.0 13
13.3%
02:40:00.0 5
 
5.1%
2023-12-03 3
 
3.1%
00:01:00.0 2
 
2.0%
2022-12-07 1
 
1.0%
2022-12-03 1
 
1.0%
23:09:00.0 1
 
1.0%
Other values (17) 17
17.3%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct44
Distinct (%)91.7%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean193086.38
Minimum191613.88
Maximum195358.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2024-05-11T07:03:52.553150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191613.88
5-th percentile191915.65
Q1192610.24
median192914
Q3193561.16
95-th percentile194310.19
Maximum195358.54
Range3744.6557
Interquartile range (IQR)950.92162

Descriptive statistics

Standard deviation864.10563
Coefficient of variation (CV)0.0044752284
Kurtosis0.38881151
Mean193086.38
Median Absolute Deviation (MAD)596.34213
Skewness0.64596916
Sum9268146.1
Variance746678.54
MonotonicityNot monotonic
2024-05-11T07:03:53.307256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
192728.085842162 2
 
4.1%
195358.535748819 2
 
4.1%
193113.249411396 2
 
4.1%
192845.044379709 2
 
4.1%
191921.574156053 1
 
2.0%
193334.487517758 1
 
2.0%
191613.880009623 1
 
2.0%
193996.256211447 1
 
2.0%
193537.770696021 1
 
2.0%
193600.056860429 1
 
2.0%
Other values (34) 34
69.4%
ValueCountFrequency (%)
191613.880009623 1
2.0%
191687.756697381 1
2.0%
191912.460441943 1
2.0%
191921.574156053 1
2.0%
191934.195339168 1
2.0%
191971.566352471 1
2.0%
192145.081853812 1
2.0%
192217.174924552 1
2.0%
192278.622583554 1
2.0%
192285.154992603 1
2.0%
ValueCountFrequency (%)
195358.535748819 2
4.1%
194311.130262574 1
2.0%
194308.433994163 1
2.0%
194258.518370002 1
2.0%
194160.426069634 1
2.0%
194140.340023169 1
2.0%
194029.235749604 1
2.0%
194002.701726955 1
2.0%
193996.256211447 1
2.0%
193654.378125665 1
2.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct44
Distinct (%)91.7%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean456589.54
Minimum453678.31
Maximum461455.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2024-05-11T07:03:54.000608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum453678.31
5-th percentile454263.35
Q1455172.07
median456395.38
Q3457412.61
95-th percentile460158.22
Maximum461455.88
Range7777.5709
Interquartile range (IQR)2240.5362

Descriptive statistics

Standard deviation1861.5844
Coefficient of variation (CV)0.0040771508
Kurtosis0.59146742
Mean456589.54
Median Absolute Deviation (MAD)1080.7399
Skewness0.88534635
Sum21916298
Variance3465496.6
MonotonicityNot monotonic
2024-05-11T07:03:54.602538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
457118.575913036 2
 
4.1%
461455.876513588 2
 
4.1%
459913.076110867 2
 
4.1%
457412.609904875 2
 
4.1%
456000.951345149 1
 
2.0%
456768.246245371 1
 
2.0%
456682.367621292 1
 
2.0%
455119.086493012 1
 
2.0%
455546.789945638 1
 
2.0%
456519.505795297 1
 
2.0%
Other values (34) 34
69.4%
ValueCountFrequency (%)
453678.305583183 1
2.0%
453984.002904659 1
2.0%
454255.571686239 1
2.0%
454277.805178502 1
2.0%
454458.493979132 1
2.0%
454468.066703619 1
2.0%
454683.57270679 1
2.0%
454805.749170212 1
2.0%
454838.008391551 1
2.0%
455102.342906373 1
2.0%
ValueCountFrequency (%)
461455.876513588 2
4.1%
460290.216473109 1
2.0%
459913.076110867 2
4.1%
458995.245521809 1
2.0%
458307.180627376 1
2.0%
458208.97683679 1
2.0%
457689.142469389 1
2.0%
457479.99522553 1
2.0%
457472.238611677 1
2.0%
457412.609904875 2
4.1%

문화체육업종명
Categorical

Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
게임물제작업
26 
<NA>
23 

Length

Max length6
Median length6
Mean length5.0612245
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물제작업 26
53.1%
<NA> 23
46.9%

Length

2024-05-11T07:03:55.291684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:03:55.657561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물제작업 26
53.1%
na 23
46.9%

문화사업자구분명
Categorical

Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
유통관련업
26 
<NA>
23 

Length

Max length5
Median length5
Mean length4.5306122
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 26
53.1%
<NA> 23
46.9%

Length

2024-05-11T07:03:56.136107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:03:56.450818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 26
53.1%
na 23
46.9%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
<NA>
48 
1
 
1

Length

Max length4
Median length4
Mean length3.9387755
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 48
98.0%
1 1
 
2.0%

Length

2024-05-11T07:03:56.871579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:03:57.297990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
98.0%
1 1
 
2.0%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

제작취급품목내용
Text

MISSING 

Distinct16
Distinct (%)61.5%
Missing23
Missing (%)46.9%
Memory size524.0 B
2024-05-11T07:03:57.772746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length5.6538462
Min length3

Characters and Unicode

Total characters147
Distinct characters50
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)53.8%

Sample

1st row게임물
2nd row게임물
3rd row게임물
4th row게임물
5th row게임물
ValueCountFrequency (%)
게임물 11
34.4%
게임 2
 
6.2%
소프트웨어 2
 
6.2%
앱게임 2
 
6.2%
pc게임물 1
 
3.1%
모바일 1
 
3.1%
전자제품,게임기기 1
 
3.1%
공급 1
 
3.1%
및 1
 
3.1%
게임소프트웨어개발 1
 
3.1%
Other values (9) 9
28.1%
2024-05-11T07:03:58.910930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 23
15.6%
임 23
15.6%
물 13
 
8.8%
소 6
 
4.1%
6
 
4.1%
프 5
 
3.4%
트 5
 
3.4%
웨 5
 
3.4%
어 5
 
3.4%
앱 3
 
2.0%
Other values (40) 53
36.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 128
87.1%
Space Separator 6
 
4.1%
Uppercase Letter 6
 
4.1%
Lowercase Letter 5
 
3.4%
Other Punctuation 2
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 23
18.0%
임 23
18.0%
물 13
 
10.2%
소 6
 
4.7%
프 5
 
3.9%
트 5
 
3.9%
웨 5
 
3.9%
어 5
 
3.9%
앱 3
 
2.3%
기 3
 
2.3%
Other values (27) 37
28.9%
Uppercase Letter
ValueCountFrequency (%)
C 1
16.7%
P 1
16.7%
D 1
16.7%
K 1
16.7%
S 1
16.7%
E 1
16.7%
Lowercase Letter
ValueCountFrequency (%)
s 1
20.0%
p 1
20.0%
i 1
20.0%
l 1
20.0%
c 1
20.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 128
87.1%
Latin 11
 
7.5%
Common 8
 
5.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 23
18.0%
임 23
18.0%
물 13
 
10.2%
소 6
 
4.7%
프 5
 
3.9%
트 5
 
3.9%
웨 5
 
3.9%
어 5
 
3.9%
앱 3
 
2.3%
기 3
 
2.3%
Other values (27) 37
28.9%
Latin
ValueCountFrequency (%)
C 1
9.1%
P 1
9.1%
D 1
9.1%
K 1
9.1%
S 1
9.1%
s 1
9.1%
p 1
9.1%
i 1
9.1%
l 1
9.1%
c 1
9.1%
Common
ValueCountFrequency (%)
6
75.0%
, 2
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 128
87.1%
ASCII 19
 
12.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 23
18.0%
임 23
18.0%
물 13
 
10.2%
소 6
 
4.7%
프 5
 
3.9%
트 5
 
3.9%
웨 5
 
3.9%
어 5
 
3.9%
앱 3
 
2.3%
기 3
 
2.3%
Other values (27) 37
28.9%
ASCII
ValueCountFrequency (%)
6
31.6%
, 2
 
10.5%
C 1
 
5.3%
P 1
 
5.3%
D 1
 
5.3%
K 1
 
5.3%
S 1
 
5.3%
s 1
 
5.3%
p 1
 
5.3%
i 1
 
5.3%
Other values (3) 3
15.8%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)76.2%
Missing28
Missing (%)57.1%
Infinite0
Infinite (%)0.0%
Mean60.220952
Minimum0
Maximum483.09
Zeros6
Zeros (%)12.2%
Negative0
Negative (%)0.0%
Memory size573.0 B
2024-05-11T07:03:59.379631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median36.62
Q372.16
95-th percentile125.03
Maximum483.09
Range483.09
Interquartile range (IQR)72.16

Descriptive statistics

Standard deviation103.60054
Coefficient of variation (CV)1.7203405
Kurtosis15.30564
Mean60.220952
Median Absolute Deviation (MAD)36.62
Skewness3.6914705
Sum1264.64
Variance10733.073
MonotonicityNot monotonic
2024-05-11T07:04:00.152021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 6
 
12.2%
51.84 1
 
2.0%
125.03 1
 
2.0%
81.2 1
 
2.0%
86.31 1
 
2.0%
6.15 1
 
2.0%
36.62 1
 
2.0%
62.12 1
 
2.0%
81.0 1
 
2.0%
72.16 1
 
2.0%
Other values (6) 6
 
12.2%
(Missing) 28
57.1%
ValueCountFrequency (%)
0.0 6
12.2%
6.15 1
 
2.0%
17.37 1
 
2.0%
20.56 1
 
2.0%
35.42 1
 
2.0%
36.62 1
 
2.0%
37.04 1
 
2.0%
51.84 1
 
2.0%
62.12 1
 
2.0%
68.73 1
 
2.0%
ValueCountFrequency (%)
483.09 1
2.0%
125.03 1
2.0%
86.31 1
2.0%
81.2 1
2.0%
81.0 1
2.0%
72.16 1
2.0%
68.73 1
2.0%
62.12 1
2.0%
51.84 1
2.0%
37.04 1
2.0%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
<NA>
48 
1
 
1

Length

Max length4
Median length4
Mean length3.9387755
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 48
98.0%
1 1
 
2.0%

Length

2024-05-11T07:04:00.797275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:04:01.253158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
98.0%
1 1
 
2.0%

지하층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

건물용도명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing48
Missing (%)98.0%
Memory size524.0 B
2024-05-11T07:04:01.532286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row다세대주택
ValueCountFrequency (%)
다세대주택 1
100.0%
2024-05-11T07:04:02.582974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
다 1
20.0%
세 1
20.0%
대 1
20.0%
주 1
20.0%
택 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
다 1
20.0%
세 1
20.0%
대 1
20.0%
주 1
20.0%
택 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
다 1
20.0%
세 1
20.0%
대 1
20.0%
주 1
20.0%
택 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
다 1
20.0%
세 1
20.0%
대 1
20.0%
주 1
20.0%
택 1
20.0%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)100.0%
Memory size573.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
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개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
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403110000CDFF224108202100000320210331<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 응암동 *** 백련산 힐스테이트*차서울특별시 은평구 백련산로*길 **, ***동 ***호 (응암동, 백련산 힐스테이트*차)3476NIceDonkey2022-08-29 10:28:42U2021-12-07 21:01:00.0<NA>193326.661928454458.493979<NA><NA><NA><NA><NA><NA><NA><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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473110000CDFF22410820240000022024-04-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 진관동 ** 은평뉴타운 상림마을 ***동 ***호서울특별시 은평구 진관*로 **, 은평뉴타운 상림마을 ***동 ***호 (진관동)3302민초게임즈2024-04-17 11:08:46I2023-12-03 23:09:00.0<NA>193113.249411459913.076111<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
483110000CDFF22410820240000032024-04-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 신사동 **-** 호림트윈타워*차 ***호서울특별시 은평구 은평터널로 ***-*, ***호 (신사동, 호림트윈타워*차)3441플레잉마초(PlayingMacho)2024-04-26 15:56:01I2023-12-03 22:08:00.0<NA>191912.460442454805.74917<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>