Overview

Dataset statistics

Number of variables56
Number of observations24
Missing cells688
Missing cells (%)51.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.5 KiB
Average record size in memory490.5 B

Variable types

Categorical15
Text8
DateTime4
Unsupported26
Numeric3

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-17278/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (58.5%)Imbalance
영업상태명 is highly imbalanced (58.5%)Imbalance
상세영업상태코드 is highly imbalanced (62.9%)Imbalance
상세영업상태명 is highly imbalanced (62.9%)Imbalance
도로명우편번호 is highly imbalanced (75.0%)Imbalance
데이터갱신구분 is highly imbalanced (58.6%)Imbalance
문화체육업종명 is highly imbalanced (58.6%)Imbalance
인허가취소일자 has 24 (100.0%) missing valuesMissing
폐업일자 has 2 (8.3%) missing valuesMissing
휴업시작일자 has 24 (100.0%) missing valuesMissing
휴업종료일자 has 24 (100.0%) missing valuesMissing
재개업일자 has 24 (100.0%) missing valuesMissing
전화번호 has 7 (29.2%) missing valuesMissing
소재지면적 has 24 (100.0%) missing valuesMissing
소재지우편번호 has 4 (16.7%) missing valuesMissing
도로명주소 has 1 (4.2%) missing valuesMissing
업태구분명 has 24 (100.0%) missing valuesMissing
좌표정보(X) has 1 (4.2%) missing valuesMissing
좌표정보(Y) has 1 (4.2%) missing valuesMissing
주변환경명 has 18 (75.0%) missing valuesMissing
제작취급품목내용 has 24 (100.0%) missing valuesMissing
시설면적 has 10 (41.7%) missing valuesMissing
조명시설조도 has 24 (100.0%) missing valuesMissing
노래방실수 has 24 (100.0%) missing valuesMissing
청소년실수 has 24 (100.0%) missing valuesMissing
비상계단여부 has 24 (100.0%) missing valuesMissing
비상구여부 has 24 (100.0%) missing valuesMissing
자동환기여부 has 24 (100.0%) missing valuesMissing
청소년실여부 has 24 (100.0%) missing valuesMissing
특수조명여부 has 24 (100.0%) missing valuesMissing
방음시설여부 has 24 (100.0%) missing valuesMissing
조명시설유무 has 24 (100.0%) missing valuesMissing
음향시설여부 has 24 (100.0%) missing valuesMissing
편의시설여부 has 24 (100.0%) missing valuesMissing
소방시설여부 has 24 (100.0%) missing valuesMissing
총게임기수 has 24 (100.0%) missing valuesMissing
기존게임업외업종명 has 24 (100.0%) missing valuesMissing
제공게임물명 has 24 (100.0%) missing valuesMissing
공연장형태구분명 has 24 (100.0%) missing valuesMissing
품목명 has 24 (100.0%) missing valuesMissing
최초등록시점 has 24 (100.0%) missing valuesMissing
지역구분명 has 20 (83.3%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 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
제작취급품목내용 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
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
시설면적 has 9 (37.5%) zerosZeros

Reproduction

Analysis started2024-04-06 10:57:17.126802
Analysis finished2024-04-06 10:57:17.942093
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
3110000
24 

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 24
100.0%

Length

2024-04-06T19:57:18.041101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:57:18.242506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 24
100.0%

관리번호
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-04-06T19:57:18.546603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters480
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

Unique24 ?
Unique (%)100.0%

Sample

1st rowCDFF1242011996000001
2nd rowCDFF1242011996000002
3rd rowCDFF1242011996000003
4th rowCDFF1242011996000004
5th rowCDFF1242011996000005
ValueCountFrequency (%)
cdff1242011996000001 1
 
4.2%
cdff1242011996000002 1
 
4.2%
cdff1242012004000001 1
 
4.2%
cdff1242012003000003 1
 
4.2%
cdff1242012003000002 1
 
4.2%
cdff1242012003000001 1
 
4.2%
cdff1242012002000002 1
 
4.2%
cdff1242012002000001 1
 
4.2%
cdff1242012001000002 1
 
4.2%
cdff1242012001000001 1
 
4.2%
Other values (14) 14
58.3%
2024-04-06T19:57:19.150445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 166
34.6%
1 75
15.6%
2 67
14.0%
F 48
 
10.0%
9 27
 
5.6%
4 26
 
5.4%
C 24
 
5.0%
D 24
 
5.0%
6 13
 
2.7%
3 5
 
1.0%
Other values (3) 5
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 384
80.0%
Uppercase Letter 96
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 166
43.2%
1 75
19.5%
2 67
17.4%
9 27
 
7.0%
4 26
 
6.8%
6 13
 
3.4%
3 5
 
1.3%
8 3
 
0.8%
5 1
 
0.3%
7 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 48
50.0%
C 24
25.0%
D 24
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 384
80.0%
Latin 96
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 166
43.2%
1 75
19.5%
2 67
17.4%
9 27
 
7.0%
4 26
 
6.8%
6 13
 
3.4%
3 5
 
1.3%
8 3
 
0.8%
5 1
 
0.3%
7 1
 
0.3%
Latin
ValueCountFrequency (%)
F 48
50.0%
C 24
25.0%
D 24
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 480
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 166
34.6%
1 75
15.6%
2 67
14.0%
F 48
 
10.0%
9 27
 
5.6%
4 26
 
5.4%
C 24
 
5.0%
D 24
 
5.0%
6 13
 
2.7%
3 5
 
1.0%
Other values (3) 5
 
1.0%

인허가일자
Date

Distinct17
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum1996-09-05 00:00:00
Maximum2008-04-02 00:00:00
2024-04-06T19:57:19.412120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:57:19.645536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
3
21 
4
 
2
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
3 21
87.5%
4 2
 
8.3%
1 1
 
4.2%

Length

2024-04-06T19:57:19.894242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:57:20.068080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 21
87.5%
4 2
 
8.3%
1 1
 
4.2%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
폐업
21 
취소/말소/만료/정지/중지
 
2
영업/정상
 
1

Length

Max length14
Median length2
Mean length3.125
Min length2

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 21
87.5%
취소/말소/만료/정지/중지 2
 
8.3%
영업/정상 1
 
4.2%

Length

2024-04-06T19:57:20.267731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:57:20.439337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 21
87.5%
취소/말소/만료/정지/중지 2
 
8.3%
영업/정상 1
 
4.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
3
21 
30
 
1
35
 
1
13
 
1

Length

Max length2
Median length1
Mean length1.125
Min length1

Unique

Unique3 ?
Unique (%)12.5%

Sample

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

Common Values

ValueCountFrequency (%)
3 21
87.5%
30 1
 
4.2%
35 1
 
4.2%
13 1
 
4.2%

Length

2024-04-06T19:57:20.633055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:57:20.797161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 21
87.5%
30 1
 
4.2%
35 1
 
4.2%
13 1
 
4.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
폐업
21 
허가취소
 
1
직권말소
 
1
영업중
 
1

Length

Max length4
Median length2
Mean length2.2083333
Min length2

Unique

Unique3 ?
Unique (%)12.5%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 21
87.5%
허가취소 1
 
4.2%
직권말소 1
 
4.2%
영업중 1
 
4.2%

Length

2024-04-06T19:57:20.985811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:57:21.251392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 21
87.5%
허가취소 1
 
4.2%
직권말소 1
 
4.2%
영업중 1
 
4.2%

폐업일자
Date

MISSING 

Distinct22
Distinct (%)100.0%
Missing2
Missing (%)8.3%
Memory size324.0 B
Minimum1998-09-30 00:00:00
Maximum2023-04-18 00:00:00
2024-04-06T19:57:21.588960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:57:21.941310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

전화번호
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing7
Missing (%)29.2%
Memory size324.0 B
2024-04-06T19:57:22.443630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.0588235
Min length8

Characters and Unicode

Total characters137
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 row307-8327
2nd row383-6592
3rd row2213-9294
4th row354-1271
5th row388-7980
ValueCountFrequency (%)
307-8327 1
 
5.9%
357-2677 1
 
5.9%
384-2628 1
 
5.9%
387-2818 1
 
5.9%
388-9171 1
 
5.9%
386-3215 1
 
5.9%
356-5888 1
 
5.9%
308-5441 1
 
5.9%
383-5548 1
 
5.9%
383-6592 1
 
5.9%
Other values (7) 7
41.2%
2024-04-06T19:57:23.103724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 26
19.0%
3 22
16.1%
- 17
12.4%
7 13
9.5%
2 13
9.5%
5 12
8.8%
1 10
 
7.3%
4 9
 
6.6%
6 7
 
5.1%
9 5
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 120
87.6%
Dash Punctuation 17
 
12.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 26
21.7%
3 22
18.3%
7 13
10.8%
2 13
10.8%
5 12
10.0%
1 10
 
8.3%
4 9
 
7.5%
6 7
 
5.8%
9 5
 
4.2%
0 3
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 137
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 26
19.0%
3 22
16.1%
- 17
12.4%
7 13
9.5%
2 13
9.5%
5 12
8.8%
1 10
 
7.3%
4 9
 
6.6%
6 7
 
5.1%
9 5
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 137
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 26
19.0%
3 22
16.1%
- 17
12.4%
7 13
9.5%
2 13
9.5%
5 12
8.8%
1 10
 
7.3%
4 9
 
6.6%
6 7
 
5.1%
9 5
 
3.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

소재지우편번호
Text

MISSING 

Distinct11
Distinct (%)55.0%
Missing4
Missing (%)16.7%
Memory size324.0 B
2024-04-06T19:57:23.381779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.05
Min length6

Characters and Unicode

Total characters121
Distinct characters10
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

Unique6 ?
Unique (%)30.0%

Sample

1st row122924
2nd row122842
3rd row122842
4th row122959
5th row122959
ValueCountFrequency (%)
122809 5
25.0%
122837 3
15.0%
122924 2
 
10.0%
122842 2
 
10.0%
122959 2
 
10.0%
122819 1
 
5.0%
122813 1
 
5.0%
122858 1
 
5.0%
122030 1
 
5.0%
122922 1
 
5.0%
2024-04-06T19:57:23.858488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 46
38.0%
1 22
18.2%
8 15
 
12.4%
9 14
 
11.6%
0 8
 
6.6%
3 5
 
4.1%
4 4
 
3.3%
7 3
 
2.5%
5 3
 
2.5%
- 1
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 120
99.2%
Dash Punctuation 1
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 46
38.3%
1 22
18.3%
8 15
 
12.5%
9 14
 
11.7%
0 8
 
6.7%
3 5
 
4.2%
4 4
 
3.3%
7 3
 
2.5%
5 3
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 121
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 46
38.0%
1 22
18.2%
8 15
 
12.4%
9 14
 
11.6%
0 8
 
6.6%
3 5
 
4.1%
4 4
 
3.3%
7 3
 
2.5%
5 3
 
2.5%
- 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 121
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 46
38.0%
1 22
18.2%
8 15
 
12.4%
9 14
 
11.6%
0 8
 
6.6%
3 5
 
4.1%
4 4
 
3.3%
7 3
 
2.5%
5 3
 
2.5%
- 1
 
0.8%

지번주소
Text

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-04-06T19:57:24.181858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length29.5
Mean length25.291667
Min length22

Characters and Unicode

Total characters607
Distinct characters40
Distinct categories7 ?
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 (%)91.7%

Sample

1st row서울특별시 은평구 응암동 590-23번지
2nd row서울특별시 은평구 대조동 185-25번지
3rd row서울특별시 은평구 대조동 199-1번지 4층
4th row서울특별시 은평구 갈현동 456-36번지 지층
5th row서울특별시 은평구 갈현동 453-20번지
ValueCountFrequency (%)
서울특별시 24
20.9%
은평구 24
20.9%
갈현동 13
11.3%
대조동 6
 
5.2%
3층 6
 
5.2%
지층 4
 
3.5%
4층 3
 
2.6%
응암동 3
 
2.6%
398-11번지 2
 
1.7%
576-6번지 1
 
0.9%
Other values (29) 29
25.2%
2024-04-06T19:57:24.606061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
113
18.6%
지 29
 
4.8%
구 25
 
4.1%
서 24
 
4.0%
특 24
 
4.0%
별 24
 
4.0%
시 24
 
4.0%
은 24
 
4.0%
평 24
 
4.0%
울 24
 
4.0%
Other values (30) 272
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 335
55.2%
Decimal Number 124
 
20.4%
Space Separator 113
 
18.6%
Dash Punctuation 24
 
4.0%
Other Punctuation 5
 
0.8%
Close Punctuation 3
 
0.5%
Open Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 29
 
8.7%
구 25
 
7.5%
서 24
 
7.2%
특 24
 
7.2%
별 24
 
7.2%
시 24
 
7.2%
은 24
 
7.2%
평 24
 
7.2%
울 24
 
7.2%
동 24
 
7.2%
Other values (14) 89
26.6%
Decimal Number
ValueCountFrequency (%)
9 21
16.9%
1 20
16.1%
3 19
15.3%
2 13
10.5%
4 13
10.5%
5 12
9.7%
6 9
7.3%
8 7
 
5.6%
0 7
 
5.6%
7 3
 
2.4%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
. 1
 
20.0%
Space Separator
ValueCountFrequency (%)
113
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 335
55.2%
Common 272
44.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 29
 
8.7%
구 25
 
7.5%
서 24
 
7.2%
특 24
 
7.2%
별 24
 
7.2%
시 24
 
7.2%
은 24
 
7.2%
평 24
 
7.2%
울 24
 
7.2%
동 24
 
7.2%
Other values (14) 89
26.6%
Common
ValueCountFrequency (%)
113
41.5%
- 24
 
8.8%
9 21
 
7.7%
1 20
 
7.4%
3 19
 
7.0%
2 13
 
4.8%
4 13
 
4.8%
5 12
 
4.4%
6 9
 
3.3%
8 7
 
2.6%
Other values (6) 21
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 335
55.2%
ASCII 272
44.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
113
41.5%
- 24
 
8.8%
9 21
 
7.7%
1 20
 
7.4%
3 19
 
7.0%
2 13
 
4.8%
4 13
 
4.8%
5 12
 
4.4%
6 9
 
3.3%
8 7
 
2.6%
Other values (6) 21
 
7.7%
Hangul
ValueCountFrequency (%)
지 29
 
8.7%
구 25
 
7.5%
서 24
 
7.2%
특 24
 
7.2%
별 24
 
7.2%
시 24
 
7.2%
은 24
 
7.2%
평 24
 
7.2%
울 24
 
7.2%
동 24
 
7.2%
Other values (14) 89
26.6%

도로명주소
Text

MISSING 

Distinct23
Distinct (%)100.0%
Missing1
Missing (%)4.2%
Memory size324.0 B
2024-04-06T19:57:24.915838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length32
Mean length28.173913
Min length25

Characters and Unicode

Total characters648
Distinct characters45
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row서울특별시 은평구 응암로13길 14 (응암동)
2nd row서울특별시 은평구 연서로28길 11 (대조동)
3rd row서울특별시 은평구 연서로26길 4 (대조동,4층)
4th row서울특별시 은평구 연서로 219 (갈현동,지층)
5th row서울특별시 은평구 연서로29길 21-3 (갈현동)
ValueCountFrequency (%)
서울특별시 23
19.8%
은평구 23
19.8%
통일로 7
 
6.0%
연서로29길 7
 
6.0%
갈현동 5
 
4.3%
갈현동,지층 3
 
2.6%
연서로 2
 
1.7%
갈현동,4층 2
 
1.7%
6 2
 
1.7%
응암로 2
 
1.7%
Other values (38) 40
34.5%
2024-04-06T19:57:25.443214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
 
17.6%
서 35
 
5.4%
) 25
 
3.9%
( 25
 
3.9%
구 24
 
3.7%
울 23
 
3.5%
로 23
 
3.5%
동 23
 
3.5%
평 23
 
3.5%
시 23
 
3.5%
Other values (35) 310
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 358
55.2%
Space Separator 114
 
17.6%
Decimal Number 102
 
15.7%
Close Punctuation 25
 
3.9%
Open Punctuation 25
 
3.9%
Other Punctuation 16
 
2.5%
Dash Punctuation 8
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 35
 
9.8%
구 24
 
6.7%
울 23
 
6.4%
로 23
 
6.4%
동 23
 
6.4%
평 23
 
6.4%
시 23
 
6.4%
은 23
 
6.4%
특 23
 
6.4%
별 23
 
6.4%
Other values (20) 115
32.1%
Decimal Number
ValueCountFrequency (%)
2 20
19.6%
1 18
17.6%
3 14
13.7%
5 10
9.8%
9 9
8.8%
4 9
8.8%
8 8
 
7.8%
6 7
 
6.9%
7 5
 
4.9%
0 2
 
2.0%
Space Separator
ValueCountFrequency (%)
114
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Other Punctuation
ValueCountFrequency (%)
, 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 358
55.2%
Common 290
44.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 35
 
9.8%
구 24
 
6.7%
울 23
 
6.4%
로 23
 
6.4%
동 23
 
6.4%
평 23
 
6.4%
시 23
 
6.4%
은 23
 
6.4%
특 23
 
6.4%
별 23
 
6.4%
Other values (20) 115
32.1%
Common
ValueCountFrequency (%)
114
39.3%
) 25
 
8.6%
( 25
 
8.6%
2 20
 
6.9%
1 18
 
6.2%
, 16
 
5.5%
3 14
 
4.8%
5 10
 
3.4%
9 9
 
3.1%
4 9
 
3.1%
Other values (5) 30
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 358
55.2%
ASCII 290
44.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
114
39.3%
) 25
 
8.6%
( 25
 
8.6%
2 20
 
6.9%
1 18
 
6.2%
, 16
 
5.5%
3 14
 
4.8%
5 10
 
3.4%
9 9
 
3.1%
4 9
 
3.1%
Other values (5) 30
 
10.3%
Hangul
ValueCountFrequency (%)
서 35
 
9.8%
구 24
 
6.7%
울 23
 
6.4%
로 23
 
6.4%
동 23
 
6.4%
평 23
 
6.4%
시 23
 
6.4%
은 23
 
6.4%
특 23
 
6.4%
별 23
 
6.4%
Other values (20) 115
32.1%

도로명우편번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
23 
3330
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
95.8%
3330 1
 
4.2%

Length

2024-04-06T19:57:25.684336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:57:25.846128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
95.8%
3330 1
 
4.2%

사업장명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-04-06T19:57:26.104876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length6
Min length2

Characters and Unicode

Total characters144
Distinct characters66
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row씨네비디오방
2nd row조은 비디오감상실
3rd row아모르비디오방
4th row씨티21비디오방
5th row신성 비디오감상실
ValueCountFrequency (%)
비디오감상실 2
 
7.4%
씨네비디오방 1
 
3.7%
멀티비디오방 1
 
3.7%
dvd 1
 
3.7%
팝스 1
 
3.7%
영화공간비디오방 1
 
3.7%
좋은친구들 1
 
3.7%
쿨플러스 1
 
3.7%
시네마테크 1
 
3.7%
칸느 1
 
3.7%
Other values (16) 16
59.3%
2024-04-06T19:57:26.653121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
디 15
 
10.4%
비 14
 
9.7%
오 14
 
9.7%
방 11
 
7.6%
화 4
 
2.8%
영 4
 
2.8%
D 4
 
2.8%
은 3
 
2.1%
3
 
2.1%
상 3
 
2.1%
Other values (56) 69
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 131
91.0%
Uppercase Letter 6
 
4.2%
Decimal Number 4
 
2.8%
Space Separator 3
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
디 15
 
11.5%
비 14
 
10.7%
오 14
 
10.7%
방 11
 
8.4%
화 4
 
3.1%
영 4
 
3.1%
은 3
 
2.3%
상 3
 
2.3%
스 3
 
2.3%
씨 2
 
1.5%
Other values (51) 58
44.3%
Uppercase Letter
ValueCountFrequency (%)
D 4
66.7%
V 2
33.3%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
2 2
50.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 131
91.0%
Common 7
 
4.9%
Latin 6
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
디 15
 
11.5%
비 14
 
10.7%
오 14
 
10.7%
방 11
 
8.4%
화 4
 
3.1%
영 4
 
3.1%
은 3
 
2.3%
상 3
 
2.3%
스 3
 
2.3%
씨 2
 
1.5%
Other values (51) 58
44.3%
Common
ValueCountFrequency (%)
3
42.9%
1 2
28.6%
2 2
28.6%
Latin
ValueCountFrequency (%)
D 4
66.7%
V 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 131
91.0%
ASCII 13
 
9.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
디 15
 
11.5%
비 14
 
10.7%
오 14
 
10.7%
방 11
 
8.4%
화 4
 
3.1%
영 4
 
3.1%
은 3
 
2.3%
상 3
 
2.3%
스 3
 
2.3%
씨 2
 
1.5%
Other values (51) 58
44.3%
ASCII
ValueCountFrequency (%)
D 4
30.8%
3
23.1%
1 2
15.4%
2 2
15.4%
V 2
15.4%

최종수정일자
Date

Distinct17
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2003-04-17 19:25:54
Maximum2023-04-19 15:43:28
2024-04-06T19:57:26.804256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:57:26.984234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
I
22 
U
 
2

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 22
91.7%
U 2
 
8.3%

Length

2024-04-06T19:57:27.206594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:57:27.376231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 22
91.7%
u 2
 
8.3%

데이터갱신일자
Date

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-03 22:01:00
2024-04-06T19:57:27.533695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:57:27.765231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)95.7%
Missing1
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean192915.62
Minimum192480.45
Maximum193765.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T19:57:27.994200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum192480.45
5-th percentile192566.14
Q1192721.3
median192832.66
Q3192860.29
95-th percentile193717.35
Maximum193765.86
Range1285.413
Interquartile range (IQR)138.99052

Descriptive statistics

Standard deviation363.96395
Coefficient of variation (CV)0.0018866484
Kurtosis1.1528169
Mean192915.62
Median Absolute Deviation (MAD)93.617105
Skewness1.4529839
Sum4437059.3
Variance132469.76
MonotonicityNot monotonic
2024-04-06T19:57:28.247870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
192832.659215943 2
 
8.3%
192480.448629367 1
 
4.2%
192566.006435361 1
 
4.2%
192861.23125208 1
 
4.2%
192828.053794717 1
 
4.2%
192859.357586305 1
 
4.2%
192800.086048896 1
 
4.2%
192703.565683848 1
 
4.2%
193765.861591618 1
 
4.2%
193735.91191965 1
 
4.2%
Other values (12) 12
50.0%
ValueCountFrequency (%)
192480.448629367 1
4.2%
192566.006435361 1
4.2%
192567.388381826 1
4.2%
192588.370915122 1
4.2%
192691.867489849 1
4.2%
192703.565683848 1
4.2%
192739.042111363 1
4.2%
192797.913568842 1
4.2%
192800.086048896 1
4.2%
192818.654190432 1
4.2%
ValueCountFrequency (%)
193765.861591618 1
4.2%
193735.91191965 1
4.2%
193550.329000062 1
4.2%
193519.842696237 1
4.2%
192985.784429928 1
4.2%
192861.23125208 1
4.2%
192859.357586305 1
4.2%
192858.217722796 1
4.2%
192840.990110586 1
4.2%
192835.107835876 1
4.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)95.7%
Missing1
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean456780.6
Minimum454037.14
Maximum457557.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T19:57:28.458372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum454037.14
5-th percentile454174.19
Q1456568.63
median457336.57
Q3457443.3
95-th percentile457526.68
Maximum457557.62
Range3520.4813
Interquartile range (IQR)874.67007

Descriptive statistics

Standard deviation1077.3178
Coefficient of variation (CV)0.0023585016
Kurtosis2.4221839
Mean456780.6
Median Absolute Deviation (MAD)153.36751
Skewness-1.8487022
Sum10505954
Variance1160613.6
MonotonicityNot monotonic
2024-04-06T19:57:28.668396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
457389.297072973 2
 
8.3%
454130.620015583 1
 
4.2%
454037.13815413 1
 
4.2%
457489.938700907 1
 
4.2%
457530.757592514 1
 
4.2%
457401.253093059 1
 
4.2%
457446.717421627 1
 
4.2%
454566.332368708 1
 
4.2%
456471.846172279 1
 
4.2%
456421.405234256 1
 
4.2%
Other values (12) 12
50.0%
ValueCountFrequency (%)
454037.13815413 1
4.2%
454130.620015583 1
4.2%
454566.332368708 1
4.2%
456421.405234256 1
4.2%
456471.846172279 1
4.2%
456509.434586423 1
4.2%
456627.822179043 1
4.2%
456660.673521534 1
4.2%
456728.319721599 1
4.2%
457198.585211038 1
4.2%
ValueCountFrequency (%)
457557.619490861 1
4.2%
457530.757592514 1
4.2%
457489.938700907 1
4.2%
457464.592251225 1
4.2%
457461.823530957 1
4.2%
457446.717421627 1
4.2%
457439.87949325 1
4.2%
457423.246944288 1
4.2%
457401.253093059 1
4.2%
457389.297072973 2
8.3%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
비디오물감상실업
22 
<NA>
 
2

Length

Max length8
Median length8
Mean length7.6666667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물감상실업 22
91.7%
<NA> 2
 
8.3%

Length

2024-04-06T19:57:28.932238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:57:29.174495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물감상실업 22
91.7%
na 2
 
8.3%

문화사업자구분명
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
유통관련업
21 
<NA>
3 

Length

Max length5
Median length5
Mean length4.875
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 21
87.5%
<NA> 3
 
12.5%

Length

2024-04-06T19:57:29.346498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:57:29.501510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 21
87.5%
na 3
 
12.5%

총층수
Categorical

Distinct5
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
15 
0
5 
4
2 
5
 
1
3
 
1

Length

Max length4
Median length4
Mean length2.875
Min length1

Unique

Unique2 ?
Unique (%)8.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 15
62.5%
0 5
 
20.8%
4 2
 
8.3%
5 1
 
4.2%
3 1
 
4.2%

Length

2024-04-06T19:57:29.717298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:57:29.899508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
62.5%
0 5
 
20.8%
4 2
 
8.3%
5 1
 
4.2%
3 1
 
4.2%

주변환경명
Text

MISSING 

Distinct4
Distinct (%)66.7%
Missing18
Missing (%)75.0%
Memory size324.0 B
2024-04-06T19:57:30.121796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length6.5
Min length2

Characters and Unicode

Total characters39
Distinct characters22
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

Unique2 ?
Unique (%)33.3%

Sample

1st row학교정화(상대)
2nd row기타
3rd row유흥업소밀집지역
4th row유흥업소밀집지역
5th row주택가주변
ValueCountFrequency (%)
학교정화(상대 2
33.3%
유흥업소밀집지역 2
33.3%
기타 1
16.7%
주택가주변 1
16.7%
2024-04-06T19:57:30.591753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 2
 
5.1%
흥 2
 
5.1%
주 2
 
5.1%
역 2
 
5.1%
지 2
 
5.1%
집 2
 
5.1%
밀 2
 
5.1%
교 2
 
5.1%
업 2
 
5.1%
소 2
 
5.1%
Other values (12) 19
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35
89.7%
Close Punctuation 2
 
5.1%
Open Punctuation 2
 
5.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 2
 
5.7%
흥 2
 
5.7%
주 2
 
5.7%
역 2
 
5.7%
지 2
 
5.7%
집 2
 
5.7%
밀 2
 
5.7%
교 2
 
5.7%
업 2
 
5.7%
소 2
 
5.7%
Other values (10) 15
42.9%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35
89.7%
Common 4
 
10.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 2
 
5.7%
흥 2
 
5.7%
주 2
 
5.7%
역 2
 
5.7%
지 2
 
5.7%
집 2
 
5.7%
밀 2
 
5.7%
교 2
 
5.7%
업 2
 
5.7%
소 2
 
5.7%
Other values (10) 15
42.9%
Common
ValueCountFrequency (%)
) 2
50.0%
( 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35
89.7%
ASCII 4
 
10.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 2
 
5.7%
흥 2
 
5.7%
주 2
 
5.7%
역 2
 
5.7%
지 2
 
5.7%
집 2
 
5.7%
밀 2
 
5.7%
교 2
 
5.7%
업 2
 
5.7%
소 2
 
5.7%
Other values (10) 15
42.9%
ASCII
ValueCountFrequency (%)
) 2
50.0%
( 2
50.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)42.9%
Missing10
Missing (%)41.7%
Infinite0
Infinite (%)0.0%
Mean52.120714
Minimum0
Maximum279.67
Zeros9
Zeros (%)37.5%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T19:57:30.797126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q397.915
95-th percentile192.8885
Maximum279.67
Range279.67
Interquartile range (IQR)97.915

Descriptive statistics

Standard deviation85.538028
Coefficient of variation (CV)1.6411523
Kurtosis2.7437213
Mean52.120714
Median Absolute Deviation (MAD)0
Skewness1.7310327
Sum729.69
Variance7316.7543
MonotonicityNot monotonic
2024-04-06T19:57:30.996236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 9
37.5%
279.67 1
 
4.2%
133.2 1
 
4.2%
60.16 1
 
4.2%
110.5 1
 
4.2%
146.16 1
 
4.2%
(Missing) 10
41.7%
ValueCountFrequency (%)
0.0 9
37.5%
60.16 1
 
4.2%
110.5 1
 
4.2%
133.2 1
 
4.2%
146.16 1
 
4.2%
279.67 1
 
4.2%
ValueCountFrequency (%)
279.67 1
 
4.2%
146.16 1
 
4.2%
133.2 1
 
4.2%
110.5 1
 
4.2%
60.16 1
 
4.2%
0.0 9
37.5%

지상층수
Categorical

Distinct5
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
14 
3
3 
4
3 
0
2 
2
2 

Length

Max length4
Median length4
Mean length2.75
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> 14
58.3%
3 3
 
12.5%
4 3
 
12.5%
0 2
 
8.3%
2 2
 
8.3%

Length

2024-04-06T19:57:31.223193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:57:31.414468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 14
58.3%
3 3
 
12.5%
4 3
 
12.5%
0 2
 
8.3%
2 2
 
8.3%

지하층수
Categorical

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
15 
0
5 
1
4 

Length

Max length4
Median length4
Mean length2.875
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> 15
62.5%
0 5
 
20.8%
1 4
 
16.7%

Length

2024-04-06T19:57:31.653413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:57:31.878484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
62.5%
0 5
 
20.8%
1 4
 
16.7%

건물용도명
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
19 
근린생활시설
5 

Length

Max length6
Median length4
Mean length4.4166667
Min length4

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
79.2%
근린생활시설 5
 
20.8%

Length

2024-04-06T19:57:32.117236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:57:32.327312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
79.2%
근린생활시설 5
 
20.8%

통로너비
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
21 
1
3 

Length

Max length4
Median length4
Mean length3.625
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> 21
87.5%
1 3
 
12.5%

Length

2024-04-06T19:57:32.874784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:57:33.028499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
87.5%
1 3
 
12.5%

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

비디오재생기명
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
13 
자동
11 

Length

Max length4
Median length4
Mean length3.0833333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 13
54.2%
자동 11
45.8%

Length

2024-04-06T19:57:33.207038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:57:33.406810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 13
54.2%
자동 11
45.8%

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

지역구분명
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing20
Missing (%)83.3%
Memory size324.0 B
2024-04-06T19:57:33.616311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5
Min length4

Characters and Unicode

Total characters20
Distinct characters8
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

Unique2 ?
Unique (%)50.0%

Sample

1st row근린상업지역
2nd row근린상업지역
3rd row상업지역
4th row주거지역
ValueCountFrequency (%)
근린상업지역 2
50.0%
상업지역 1
25.0%
주거지역 1
25.0%
2024-04-06T19:57:34.077320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 4
20.0%
역 4
20.0%
상 3
15.0%
업 3
15.0%
근 2
10.0%
린 2
10.0%
주 1
 
5.0%
거 1
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 4
20.0%
역 4
20.0%
상 3
15.0%
업 3
15.0%
근 2
10.0%
린 2
10.0%
주 1
 
5.0%
거 1
 
5.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 4
20.0%
역 4
20.0%
상 3
15.0%
업 3
15.0%
근 2
10.0%
린 2
10.0%
주 1
 
5.0%
거 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 4
20.0%
역 4
20.0%
상 3
15.0%
업 3
15.0%
근 2
10.0%
린 2
10.0%
주 1
 
5.0%
거 1
 
5.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03110000CDFF124201199600000119960905<NA>3폐업3폐업19991223<NA><NA><NA>307-8327<NA>122924서울특별시 은평구 응암동 590-23번지서울특별시 은평구 응암로13길 14 (응암동)<NA>씨네비디오방2003-04-17 19:25:54I2018-08-31 23:59:59.0<NA>192480.448629454130.620016비디오물감상실업유통관련업<NA><NA><NA>0.0<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>
13110000CDFF124201199600000219960906<NA>3폐업3폐업20060914<NA><NA><NA><NA><NA>122842서울특별시 은평구 대조동 185-25번지서울특별시 은평구 연서로28길 11 (대조동)<NA>조은 비디오감상실2008-07-09 10:34:46I2018-08-31 23:59:59.0<NA>192985.78443457270.732166비디오물감상실업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23110000CDFF124201199600000319960906<NA>3폐업3폐업20040320<NA><NA><NA>383-6592<NA>122842서울특별시 은평구 대조동 199-1번지 4층서울특별시 은평구 연서로26길 4 (대조동,4층)<NA>아모르비디오방2005-03-29 13:58:41I2018-08-31 23:59:59.0<NA>192858.217723457198.585211비디오물감상실업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33110000CDFF124201199600000419960906<NA>3폐업3폐업20050325<NA><NA><NA>2213-9294<NA>122959서울특별시 은평구 갈현동 456-36번지 지층서울특별시 은평구 연서로 219 (갈현동,지층)<NA>씨티21비디오방2005-03-29 13:17:06I2018-08-31 23:59:59.0<NA>192840.990111457336.571191비디오물감상실업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43110000CDFF124201199600000519960906<NA>3폐업3폐업19980930<NA><NA><NA>354-1271<NA>122959서울특별시 은평구 갈현동 453-20번지서울특별시 은평구 연서로29길 21-3 (갈현동)<NA>신성 비디오감상실2003-04-17 19:25:54I2018-08-31 23:59:59.0<NA>192691.86749457423.246944비디오물감상실업유통관련업<NA><NA><NA>0.0<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>
53110000CDFF124201199600000619960906<NA>4취소/말소/만료/정지/중지30허가취소<NA><NA><NA><NA>388-7980<NA>122809서울특별시 은평구 갈현동 400-7번지 지층서울특별시 은평구 연서로29길 16 (갈현동,지층)<NA>아미고2007-07-23 16:30:41I2018-08-31 23:59:59.0<NA>192739.042111457439.879493비디오물감상실업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63110000CDFF124201199600000719960906<NA>3폐업3폐업20030317<NA><NA><NA>388-6673<NA>122809서울특별시 은평구 갈현동 402-2번지 지층서울특별시 은평구 통일로 863-23 (갈현동,지층)<NA>21세기비디오방2003-04-17 19:25:54I2018-08-31 23:59:59.0<NA>192797.913569457557.619491비디오물감상실업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73110000CDFF124201199600000819960906<NA>3폐업3폐업20050412<NA><NA><NA>385-4778<NA>122837서울특별시 은평구 대조동 2-9번지 지층서울특별시 은평구 통일로 757 (대조동,지층)<NA>터미널영화관2005-04-13 09:14:43I2018-08-31 23:59:59.0<NA>193519.842696456728.319722비디오물감상실업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83110000CDFF124201199600000919960907<NA>3폐업3폐업20050721<NA><NA><NA>384-8412<NA>122837서울특별시 은평구 대조동 3-16번지 3층서울특별시 은평구 통일로71길 32 (대조동,3층)<NA>라이브2005-07-21 16:47:11I2018-08-31 23:59:59.0<NA>193550.329456660.673522비디오물감상실업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93110000CDFF124201199600001019960909<NA>3폐업3폐업20001227<NA><NA><NA>383-5548<NA>122809서울특별시 은평구 갈현동 399-24번지 3층서울특별시 은평구 연서로29길 14-16 (갈현동,3층)<NA>피카디리비디오방2003-04-17 19:25:54I2018-08-31 23:59:59.0<NA>192818.65419457464.592251비디오물감상실업유통관련업0<NA><NA>0.000<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
143110000CDFF124201200000000220001228<NA>3폐업3폐업20110516<NA><NA><NA>386-3215<NA>122837서울특별시 은평구 대조동 14-18번지 3층서울특별시 은평구 통일로 723 (대조동,3층)<NA>발리비디오방2011-05-16 15:42:31I2018-08-31 23:59:59.0<NA>193735.91192456421.405234비디오물감상실업유통관련업4기타<NA>279.673<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
153110000CDFF124201200100000120011221<NA>3폐업3폐업20021218<NA><NA><NA>388-9171<NA>122858서울특별시 은평구 불광동 281-104번지 (3층)서울특별시 은평구 통일로 728 (불광동,(3층))<NA>명화비디오방2003-04-17 19:25:54I2018-08-31 23:59:59.0<NA>193765.861592456471.846172비디오물감상실업유통관련업0<NA><NA>0.030<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
163110000CDFF124201200100000220011224<NA>3폐업3폐업20021023<NA><NA><NA>387-2818<NA>122030서울특별시 은평구 대조동 14-11번지 ,18,45(2층)<NA><NA>스타비디오소극장2003-04-17 19:25:54I2018-08-31 23:59:59.0<NA><NA><NA>비디오물감상실업유통관련업0<NA><NA>0.020<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
173110000CDFF124201200200000120020225<NA>3폐업3폐업20030306<NA><NA><NA><NA><NA>122922서울특별시 은평구 응암동 576-6번지 2층서울특별시 은평구 응암로 242 (응암동,2층)<NA>칸느2003-04-17 19:25:54I2018-08-31 23:59:59.0<NA>192703.565684454566.332369비디오물감상실업유통관련업0<NA><NA>0.020<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
183110000CDFF124201200200000220020506<NA>3폐업3폐업20070103<NA><NA><NA>384-2628<NA>122809서울특별시 은평구 갈현동 398-11번지 4층서울특별시 은평구 연서로29길 6 (갈현동,4층)<NA>시네마테크2007-01-04 09:25:39I2018-08-31 23:59:59.0<NA>192832.659216457389.297073비디오물감상실업유통관련업<NA><NA><NA><NA>4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
193110000CDFF124201200300000120030103<NA>3폐업3폐업20100929<NA><NA><NA><NA><NA><NA>서울특별시 은평구 갈현동 399-5번지 3층서울특별시 은평구 연서로29길 14-12 (갈현동,3층)<NA>쿨플러스2010-09-29 15:57:58I2018-08-31 23:59:59.0<NA>192800.086049457446.717422비디오물감상실업유통관련업5유흥업소밀집지역<NA>133.241근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
203110000CDFF124201200300000220030725<NA>3폐업3폐업20050602<NA><NA><NA>358-7521<NA>122809서울특별시 은평구 갈현동 398-6번지서울특별시 은평구 통일로 855-9 (갈현동)<NA>좋은친구들2005-06-02 16:10:56I2018-08-31 23:59:59.0<NA>192859.357586457401.253093비디오물감상실업유통관련업4유흥업소밀집지역<NA>60.1641근린생활시설1<NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>상업지역
213110000CDFF124201200300000320031201<NA>3폐업3폐업20150302<NA><NA><NA><NA><NA><NA>서울특별시 은평구 갈현동 395-9번지서울특별시 은평구 통일로 863-14 (갈현동)<NA>영화공간비디오방2015-03-02 13:20:18I2018-08-31 23:59:59.0<NA>192828.053795457530.757593비디오물감상실업유통관련업3주택가주변<NA>110.531근린생활시설1<NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>주거지역
223110000CDFF12420120040000012004-06-02<NA>3폐업3폐업2023-04-18<NA><NA><NA><NA><NA>122-809서울특별시 은평구 갈현동 396-9 외 1필지(5층)서울특별시 은평구 통일로 855-20 (갈현동,외 1필지(5층))<NA>팝스 DVD2023-04-19 15:43:28U2022-12-03 22:01:00.0<NA>192861.231252457489.938701<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
233110000CDFF124201200800000120080402<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 갈현동 398-11번지 4층서울특별시 은평구 연서로29길 6 (갈현동,4층)<NA>은하DVD2016-09-13 10:50:22I2018-08-31 23:59:59.0<NA>192832.659216457389.297073비디오물감상실업유통관련업<NA>학교정화(상대)<NA>146.16<NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>