Overview

Dataset statistics

Number of variables56
Number of observations62
Missing cells1949
Missing cells (%)56.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.5 KiB
Average record size in memory487.1 B

Variable types

Categorical13
Text8
DateTime4
Unsupported28
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
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-17872/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총층수 is highly imbalanced (72.8%)Imbalance
주변환경명 is highly imbalanced (65.5%)Imbalance
지상층수 is highly imbalanced (66.8%)Imbalance
지하층수 is highly imbalanced (72.0%)Imbalance
인허가취소일자 has 62 (100.0%) missing valuesMissing
폐업일자 has 38 (61.3%) missing valuesMissing
휴업시작일자 has 62 (100.0%) missing valuesMissing
휴업종료일자 has 62 (100.0%) missing valuesMissing
재개업일자 has 62 (100.0%) missing valuesMissing
전화번호 has 17 (27.4%) missing valuesMissing
소재지면적 has 62 (100.0%) missing valuesMissing
소재지우편번호 has 20 (32.3%) missing valuesMissing
지번주소 has 1 (1.6%) missing valuesMissing
도로명우편번호 has 27 (43.5%) missing valuesMissing
업태구분명 has 62 (100.0%) missing valuesMissing
제작취급품목내용 has 62 (100.0%) missing valuesMissing
시설면적 has 55 (88.7%) missing valuesMissing
건물용도명 has 55 (88.7%) missing valuesMissing
통로너비 has 62 (100.0%) missing valuesMissing
조명시설조도 has 62 (100.0%) missing valuesMissing
노래방실수 has 62 (100.0%) missing valuesMissing
청소년실수 has 62 (100.0%) missing valuesMissing
비상계단여부 has 62 (100.0%) missing valuesMissing
비상구여부 has 62 (100.0%) missing valuesMissing
자동환기여부 has 62 (100.0%) missing valuesMissing
청소년실여부 has 62 (100.0%) missing valuesMissing
특수조명여부 has 62 (100.0%) missing valuesMissing
방음시설여부 has 62 (100.0%) missing valuesMissing
비디오재생기명 has 62 (100.0%) missing valuesMissing
조명시설유무 has 62 (100.0%) missing valuesMissing
음향시설여부 has 62 (100.0%) missing valuesMissing
편의시설여부 has 62 (100.0%) missing valuesMissing
소방시설여부 has 62 (100.0%) missing valuesMissing
총게임기수 has 62 (100.0%) missing valuesMissing
기존게임업외업종명 has 62 (100.0%) missing valuesMissing
제공게임물명 has 62 (100.0%) missing valuesMissing
공연장형태구분명 has 62 (100.0%) missing valuesMissing
품목명 has 62 (100.0%) missing valuesMissing
최초등록시점 has 62 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
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

Reproduction

Analysis started2024-05-11 05:44:56.194008
Analysis finished2024-05-11 05:44:56.946092
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size628.0 B
3200000
62 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3200000
2nd row3200000
3rd row3200000
4th row3200000
5th row3200000

Common Values

ValueCountFrequency (%)
3200000 62
100.0%

Length

2024-05-11T14:44:57.041121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:57.167685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3200000 62
100.0%

관리번호
Text

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
2024-05-11T14:44:57.405706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1240
Distinct characters14
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

Unique62 ?
Unique (%)100.0%

Sample

1st rowCDFG1252001993000001
2nd rowCDFG1252001997000001
3rd rowCDFG1252002000000001
4th rowCDFG1252002001000001
5th rowCDFG1252002002000002
ValueCountFrequency (%)
cdfg1252001993000001 1
 
1.6%
cdfg1252002014000004 1
 
1.6%
cdfg1252002023000002 1
 
1.6%
cdfg1252002010000001 1
 
1.6%
cdfg1252002010000002 1
 
1.6%
cdfg1252002010000003 1
 
1.6%
cdfg1252002011000001 1
 
1.6%
cdfg1252002012000001 1
 
1.6%
cdfg1252002012000002 1
 
1.6%
cdfg1252002013000001 1
 
1.6%
Other values (52) 52
83.9%
2024-05-11T14:44:57.774727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 529
42.7%
2 205
 
16.5%
1 110
 
8.9%
5 76
 
6.1%
C 62
 
5.0%
D 62
 
5.0%
F 62
 
5.0%
G 62
 
5.0%
3 22
 
1.8%
4 13
 
1.0%
Other values (4) 37
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 992
80.0%
Uppercase Letter 248
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 529
53.3%
2 205
 
20.7%
1 110
 
11.1%
5 76
 
7.7%
3 22
 
2.2%
4 13
 
1.3%
6 13
 
1.3%
7 12
 
1.2%
9 7
 
0.7%
8 5
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
C 62
25.0%
D 62
25.0%
F 62
25.0%
G 62
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 992
80.0%
Latin 248
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 529
53.3%
2 205
 
20.7%
1 110
 
11.1%
5 76
 
7.7%
3 22
 
2.2%
4 13
 
1.3%
6 13
 
1.3%
7 12
 
1.2%
9 7
 
0.7%
8 5
 
0.5%
Latin
ValueCountFrequency (%)
C 62
25.0%
D 62
25.0%
F 62
25.0%
G 62
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1240
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 529
42.7%
2 205
 
16.5%
1 110
 
8.9%
5 76
 
6.1%
C 62
 
5.0%
D 62
 
5.0%
F 62
 
5.0%
G 62
 
5.0%
3 22
 
1.8%
4 13
 
1.0%
Other values (4) 37
 
3.0%

인허가일자
Date

Distinct59
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
Minimum1993-05-10 00:00:00
Maximum2024-01-16 00:00:00
2024-05-11T14:44:57.939393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:44:58.114191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
1
38 
3
24 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 38
61.3%
3 24
38.7%

Length

2024-05-11T14:44:58.285291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:58.415152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 38
61.3%
3 24
38.7%

영업상태명
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
영업/정상
38 
폐업
24 

Length

Max length5
Median length5
Mean length3.8387097
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 38
61.3%
폐업 24
38.7%

Length

2024-05-11T14:44:58.584026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:58.820002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 38
61.3%
폐업 24
38.7%

상세영업상태코드
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
13
38 
3
24 

Length

Max length2
Median length2
Mean length1.6129032
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 38
61.3%
3 24
38.7%

Length

2024-05-11T14:44:59.030087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:59.195192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 38
61.3%
3 24
38.7%

상세영업상태명
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
영업중
38 
폐업
24 

Length

Max length3
Median length3
Mean length2.6129032
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 38
61.3%
폐업 24
38.7%

Length

2024-05-11T14:44:59.432738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:44:59.591938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 38
61.3%
폐업 24
38.7%

폐업일자
Date

MISSING 

Distinct24
Distinct (%)100.0%
Missing38
Missing (%)61.3%
Memory size628.0 B
Minimum2007-05-29 00:00:00
Maximum2024-03-25 00:00:00
2024-05-11T14:44:59.736370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:44:59.890421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

전화번호
Text

MISSING 

Distinct43
Distinct (%)95.6%
Missing17
Missing (%)27.4%
Memory size628.0 B
2024-05-11T14:45:00.155748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length9.8444444
Min length2

Characters and Unicode

Total characters443
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)91.1%

Sample

1st row02-877-1448
2nd row883-2828
3rd row871-7061
4th row884-8227
5th row874-7985
ValueCountFrequency (%)
869-1140 2
 
4.4%
070-8100-9037 2
 
4.4%
876-2842 1
 
2.2%
02-877-1552 1
 
2.2%
070-5029-0995 1
 
2.2%
02-876-2842 1
 
2.2%
02-877-1448 1
 
2.2%
02-872-0456 1
 
2.2%
02)872-8097 1
 
2.2%
02)861-4677 1
 
2.2%
Other values (33) 33
73.3%
2024-05-11T14:45:00.952276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 72
16.3%
0 66
14.9%
- 61
13.8%
2 49
11.1%
7 46
10.4%
1 34
7.7%
5 27
 
6.1%
3 23
 
5.2%
6 22
 
5.0%
4 20
 
4.5%
Other values (3) 23
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 375
84.7%
Dash Punctuation 61
 
13.8%
Close Punctuation 6
 
1.4%
Math Symbol 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 72
19.2%
0 66
17.6%
2 49
13.1%
7 46
12.3%
1 34
9.1%
5 27
 
7.2%
3 23
 
6.1%
6 22
 
5.9%
4 20
 
5.3%
9 16
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 443
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 72
16.3%
0 66
14.9%
- 61
13.8%
2 49
11.1%
7 46
10.4%
1 34
7.7%
5 27
 
6.1%
3 23
 
5.2%
6 22
 
5.0%
4 20
 
4.5%
Other values (3) 23
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 443
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 72
16.3%
0 66
14.9%
- 61
13.8%
2 49
11.1%
7 46
10.4%
1 34
7.7%
5 27
 
6.1%
3 23
 
5.2%
6 22
 
5.0%
4 20
 
4.5%
Other values (3) 23
 
5.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

소재지우편번호
Text

MISSING 

Distinct27
Distinct (%)64.3%
Missing20
Missing (%)32.3%
Memory size628.0 B
2024-05-11T14:45:01.240807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0238095
Min length6

Characters and Unicode

Total characters253
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

Unique19 ?
Unique (%)45.2%

Sample

1st row151057
2nd row151853
3rd row151927
4th row151927
5th row151866
ValueCountFrequency (%)
151836 5
 
11.9%
151015 4
 
9.5%
151927 3
 
7.1%
151872 3
 
7.1%
151889 2
 
4.8%
151050 2
 
4.8%
151057 2
 
4.8%
151835 2
 
4.8%
151859 1
 
2.4%
151899 1
 
2.4%
Other values (17) 17
40.5%
2024-05-11T14:45:01.692904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 90
35.6%
5 59
23.3%
8 34
 
13.4%
0 15
 
5.9%
9 12
 
4.7%
2 10
 
4.0%
7 10
 
4.0%
3 9
 
3.6%
6 9
 
3.6%
4 4
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 252
99.6%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 90
35.7%
5 59
23.4%
8 34
 
13.5%
0 15
 
6.0%
9 12
 
4.8%
2 10
 
4.0%
7 10
 
4.0%
3 9
 
3.6%
6 9
 
3.6%
4 4
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 253
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 90
35.6%
5 59
23.3%
8 34
 
13.4%
0 15
 
5.9%
9 12
 
4.7%
2 10
 
4.0%
7 10
 
4.0%
3 9
 
3.6%
6 9
 
3.6%
4 4
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 253
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 90
35.6%
5 59
23.3%
8 34
 
13.4%
0 15
 
5.9%
9 12
 
4.7%
2 10
 
4.0%
7 10
 
4.0%
3 9
 
3.6%
6 9
 
3.6%
4 4
 
1.6%

지번주소
Text

MISSING 

Distinct49
Distinct (%)80.3%
Missing1
Missing (%)1.6%
Memory size628.0 B
2024-05-11T14:45:02.007746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38
Mean length27.540984
Min length20

Characters and Unicode

Total characters1680
Distinct characters82
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

Unique43 ?
Unique (%)70.5%

Sample

1st row서울특별시 관악구 봉천동 ****-**번지
2nd row서울특별시 관악구 신림동 **-***번지
3rd row서울특별시 관악구 신림동 ***-**번지 *층
4th row서울특별시 관악구 신림동 ***-*번지
5th row서울특별시 관악구 신림동 ***-**번지
ValueCountFrequency (%)
서울특별시 61
19.8%
관악구 61
19.8%
번지 49
15.9%
신림동 35
11.4%
봉천동 24
 
7.8%
층 19
 
6.2%
13
 
4.2%
호 10
 
3.2%
지하 3
 
1.0%
남현동 2
 
0.6%
Other values (28) 31
10.1%
2024-05-11T14:45:02.586450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 384
22.9%
290
17.3%
동 66
 
3.9%
서 61
 
3.6%
악 61
 
3.6%
구 61
 
3.6%
울 61
 
3.6%
관 61
 
3.6%
별 61
 
3.6%
시 61
 
3.6%
Other values (72) 513
30.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 932
55.5%
Other Punctuation 386
23.0%
Space Separator 290
 
17.3%
Dash Punctuation 59
 
3.5%
Close Punctuation 6
 
0.4%
Open Punctuation 6
 
0.4%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 66
 
7.1%
서 61
 
6.5%
악 61
 
6.5%
구 61
 
6.5%
울 61
 
6.5%
관 61
 
6.5%
별 61
 
6.5%
시 61
 
6.5%
특 61
 
6.5%
지 57
 
6.1%
Other values (64) 321
34.4%
Other Punctuation
ValueCountFrequency (%)
* 384
99.5%
, 1
 
0.3%
@ 1
 
0.3%
Space Separator
ValueCountFrequency (%)
290
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 59
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Uppercase Letter
ValueCountFrequency (%)
G 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 932
55.5%
Common 747
44.5%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 66
 
7.1%
서 61
 
6.5%
악 61
 
6.5%
구 61
 
6.5%
울 61
 
6.5%
관 61
 
6.5%
별 61
 
6.5%
시 61
 
6.5%
특 61
 
6.5%
지 57
 
6.1%
Other values (64) 321
34.4%
Common
ValueCountFrequency (%)
* 384
51.4%
290
38.8%
- 59
 
7.9%
) 6
 
0.8%
( 6
 
0.8%
, 1
 
0.1%
@ 1
 
0.1%
Latin
ValueCountFrequency (%)
G 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 932
55.5%
ASCII 748
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 384
51.3%
290
38.8%
- 59
 
7.9%
) 6
 
0.8%
( 6
 
0.8%
, 1
 
0.1%
@ 1
 
0.1%
G 1
 
0.1%
Hangul
ValueCountFrequency (%)
동 66
 
7.1%
서 61
 
6.5%
악 61
 
6.5%
구 61
 
6.5%
울 61
 
6.5%
관 61
 
6.5%
별 61
 
6.5%
시 61
 
6.5%
특 61
 
6.5%
지 57
 
6.1%
Other values (64) 321
34.4%

도로명주소
Text

Distinct56
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Memory size628.0 B
2024-05-11T14:45:03.011981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length40
Mean length31.870968
Min length21

Characters and Unicode

Total characters1976
Distinct characters107
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

Unique52 ?
Unique (%)83.9%

Sample

1st row서울특별시 관악구 낙성대로 **, *층 (봉천동)
2nd row서울특별시 관악구 신림로 *** (신림동)
3rd row서울특별시 관악구 신림로 ***, *층 (신림동)
4th row서울특별시 관악구 신림로**길 *-* (신림동)
5th row서울특별시 관악구 신림로**길 *-* (신림동)
ValueCountFrequency (%)
63
16.8%
서울특별시 62
16.5%
관악구 62
16.5%
신림동 30
 
8.0%
층 26
 
6.9%
봉천동 17
 
4.5%
신림로 11
 
2.9%
호 10
 
2.7%
봉천로 7
 
1.9%
남부순환로 6
 
1.6%
Other values (60) 81
21.6%
2024-05-11T14:45:04.007993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
335
17.0%
* 292
 
14.8%
관 72
 
3.6%
동 70
 
3.5%
악 69
 
3.5%
) 68
 
3.4%
( 68
 
3.4%
서 64
 
3.2%
구 64
 
3.2%
울 63
 
3.2%
Other values (97) 811
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1142
57.8%
Other Punctuation 354
 
17.9%
Space Separator 335
 
17.0%
Close Punctuation 68
 
3.4%
Open Punctuation 68
 
3.4%
Dash Punctuation 7
 
0.4%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 72
 
6.3%
동 70
 
6.1%
악 69
 
6.0%
서 64
 
5.6%
구 64
 
5.6%
울 63
 
5.5%
시 62
 
5.4%
별 62
 
5.4%
특 62
 
5.4%
로 57
 
5.0%
Other values (88) 497
43.5%
Other Punctuation
ValueCountFrequency (%)
* 292
82.5%
, 61
 
17.2%
@ 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
G 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
335
100.0%
Close Punctuation
ValueCountFrequency (%)
) 68
100.0%
Open Punctuation
ValueCountFrequency (%)
( 68
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1142
57.8%
Common 832
42.1%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 72
 
6.3%
동 70
 
6.1%
악 69
 
6.0%
서 64
 
5.6%
구 64
 
5.6%
울 63
 
5.5%
시 62
 
5.4%
별 62
 
5.4%
특 62
 
5.4%
로 57
 
5.0%
Other values (88) 497
43.5%
Common
ValueCountFrequency (%)
335
40.3%
* 292
35.1%
) 68
 
8.2%
( 68
 
8.2%
, 61
 
7.3%
- 7
 
0.8%
@ 1
 
0.1%
Latin
ValueCountFrequency (%)
G 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1142
57.8%
ASCII 834
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
335
40.2%
* 292
35.0%
) 68
 
8.2%
( 68
 
8.2%
, 61
 
7.3%
- 7
 
0.8%
G 1
 
0.1%
B 1
 
0.1%
@ 1
 
0.1%
Hangul
ValueCountFrequency (%)
관 72
 
6.3%
동 70
 
6.1%
악 69
 
6.0%
서 64
 
5.6%
구 64
 
5.6%
울 63
 
5.5%
시 62
 
5.4%
별 62
 
5.4%
특 62
 
5.4%
로 57
 
5.0%
Other values (88) 497
43.5%

도로명우편번호
Text

MISSING 

Distinct30
Distinct (%)85.7%
Missing27
Missing (%)43.5%
Memory size628.0 B
2024-05-11T14:45:04.263730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.4571429
Min length5

Characters and Unicode

Total characters191
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

Unique25 ?
Unique (%)71.4%

Sample

1st row151057
2nd row151927
3rd row151-916
4th row08837
5th row08813
ValueCountFrequency (%)
08837 2
 
5.7%
08713 2
 
5.7%
151015 2
 
5.7%
151927 2
 
5.7%
08814 2
 
5.7%
08787 1
 
2.9%
151852 1
 
2.9%
08792 1
 
2.9%
08838 1
 
2.9%
151804 1
 
2.9%
Other values (20) 20
57.1%
2024-05-11T14:45:04.788937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 43
22.5%
1 40
20.9%
0 29
15.2%
5 22
11.5%
7 19
9.9%
3 10
 
5.2%
4 8
 
4.2%
9 8
 
4.2%
2 7
 
3.7%
6 4
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 190
99.5%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 43
22.6%
1 40
21.1%
0 29
15.3%
5 22
11.6%
7 19
10.0%
3 10
 
5.3%
4 8
 
4.2%
9 8
 
4.2%
2 7
 
3.7%
6 4
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 191
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 43
22.5%
1 40
20.9%
0 29
15.2%
5 22
11.5%
7 19
9.9%
3 10
 
5.2%
4 8
 
4.2%
9 8
 
4.2%
2 7
 
3.7%
6 4
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 191
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 43
22.5%
1 40
20.9%
0 29
15.2%
5 22
11.5%
7 19
9.9%
3 10
 
5.2%
4 8
 
4.2%
9 8
 
4.2%
2 7
 
3.7%
6 4
 
2.1%

사업장명
Text

Distinct59
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
2024-05-11T14:45:05.152243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length6.3064516
Min length2

Characters and Unicode

Total characters391
Distinct characters158
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

Unique56 ?
Unique (%)90.3%

Sample

1st row관악사
2nd row상익문화사
3rd row신한
4th row거상인쇄
5th row민창사
ValueCountFrequency (%)
주식회사 7
 
9.1%
함께사는세상 2
 
2.6%
정문사 2
 
2.6%
푸른인쇄 2
 
2.6%
상상애드 1
 
1.3%
꿈인 1
 
1.3%
디지뎁스(digi 1
 
1.3%
deps 1
 
1.3%
관악사 1
 
1.3%
다님소프트 1
 
1.3%
Other values (58) 58
75.3%
2024-05-11T14:45:05.838764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 20
 
5.1%
15
 
3.8%
인 13
 
3.3%
주 13
 
3.3%
스 10
 
2.6%
이 9
 
2.3%
쇄 8
 
2.0%
문 7
 
1.8%
) 7
 
1.8%
식 7
 
1.8%
Other values (148) 282
72.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 343
87.7%
Space Separator 15
 
3.8%
Lowercase Letter 10
 
2.6%
Uppercase Letter 9
 
2.3%
Close Punctuation 7
 
1.8%
Open Punctuation 7
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 20
 
5.8%
인 13
 
3.8%
주 13
 
3.8%
스 10
 
2.9%
이 9
 
2.6%
쇄 8
 
2.3%
문 7
 
2.0%
식 7
 
2.0%
회 7
 
2.0%
획 7
 
2.0%
Other values (131) 242
70.6%
Lowercase Letter
ValueCountFrequency (%)
i 3
30.0%
n 2
20.0%
t 1
 
10.0%
r 1
 
10.0%
p 1
 
10.0%
s 1
 
10.0%
g 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
D 2
22.2%
P 2
22.2%
B 1
11.1%
T 1
11.1%
C 1
11.1%
N 1
11.1%
E 1
11.1%
Space Separator
ValueCountFrequency (%)
15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 343
87.7%
Common 29
 
7.4%
Latin 19
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 20
 
5.8%
인 13
 
3.8%
주 13
 
3.8%
스 10
 
2.9%
이 9
 
2.6%
쇄 8
 
2.3%
문 7
 
2.0%
식 7
 
2.0%
회 7
 
2.0%
획 7
 
2.0%
Other values (131) 242
70.6%
Latin
ValueCountFrequency (%)
i 3
15.8%
n 2
10.5%
D 2
10.5%
P 2
10.5%
t 1
 
5.3%
r 1
 
5.3%
p 1
 
5.3%
B 1
 
5.3%
T 1
 
5.3%
C 1
 
5.3%
Other values (4) 4
21.1%
Common
ValueCountFrequency (%)
15
51.7%
) 7
24.1%
( 7
24.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 343
87.7%
ASCII 48
 
12.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 20
 
5.8%
인 13
 
3.8%
주 13
 
3.8%
스 10
 
2.9%
이 9
 
2.6%
쇄 8
 
2.3%
문 7
 
2.0%
식 7
 
2.0%
회 7
 
2.0%
획 7
 
2.0%
Other values (131) 242
70.6%
ASCII
ValueCountFrequency (%)
15
31.2%
) 7
14.6%
( 7
14.6%
i 3
 
6.2%
n 2
 
4.2%
D 2
 
4.2%
P 2
 
4.2%
t 1
 
2.1%
r 1
 
2.1%
p 1
 
2.1%
Other values (7) 7
14.6%

최종수정일자
Date

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
Minimum2003-03-20 10:28:55
Maximum2024-03-25 15:19:58
2024-05-11T14:45:06.090150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:45:06.395697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
I
53 
U
9 

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 53
85.5%
U 9
 
14.5%

Length

2024-05-11T14:45:06.654083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:45:06.830264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 53
85.5%
u 9
 
14.5%

데이터갱신일자
Date

Distinct13
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 22:07:00
2024-05-11T14:45:06.995861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:45:07.178501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

좌표정보(X)
Real number (ℝ)

Distinct55
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194615.98
Minimum191616.28
Maximum198061.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-05-11T14:45:07.374144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191616.28
5-th percentile192423.7
Q1194105.19
median194599.84
Q3195688.44
95-th percentile196442.56
Maximum198061.17
Range6444.8927
Interquartile range (IQR)1583.2487

Descriptive statistics

Standard deviation1393.6259
Coefficient of variation (CV)0.0071609015
Kurtosis-0.35702256
Mean194615.98
Median Absolute Deviation (MAD)1071.4048
Skewness-0.028791642
Sum12066191
Variance1942193.1
MonotonicityNot monotonic
2024-05-11T14:45:07.595338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192595.444625601 3
 
4.8%
193394.83653722 2
 
3.2%
196139.864969792 2
 
3.2%
194741.979689113 2
 
3.2%
195445.432424349 2
 
3.2%
194151.281309493 2
 
3.2%
194142.643155452 1
 
1.6%
194433.597467931 1
 
1.6%
195636.857060999 1
 
1.6%
192868.460686064 1
 
1.6%
Other values (45) 45
72.6%
ValueCountFrequency (%)
191616.280922547 1
 
1.6%
191988.981731593 1
 
1.6%
192365.301386088 1
 
1.6%
192414.659227808 1
 
1.6%
192595.444625601 3
4.8%
192790.227329456 1
 
1.6%
192868.460686064 1
 
1.6%
192906.530971599 1
 
1.6%
192931.515394494 1
 
1.6%
192949.350677183 1
 
1.6%
ValueCountFrequency (%)
198061.173643438 1
1.6%
197531.406781961 1
1.6%
196501.159765837 1
1.6%
196443.853827402 1
1.6%
196417.878090956 1
1.6%
196375.66449226 1
1.6%
196347.890512479 1
1.6%
196139.864969792 2
3.2%
196126.067207531 1
1.6%
196004.977409783 1
1.6%

좌표정보(Y)
Real number (ℝ)

Distinct55
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean441549.92
Minimum439023.17
Maximum443106.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-05-11T14:45:07.820914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439023.17
5-th percentile440036.8
Q1440987.74
median441727.94
Q3442194.16
95-th percentile442929.67
Maximum443106.91
Range4083.7396
Interquartile range (IQR)1206.4156

Descriptive statistics

Standard deviation926.70144
Coefficient of variation (CV)0.0020987467
Kurtosis0.34516048
Mean441549.92
Median Absolute Deviation (MAD)676.84195
Skewness-0.65709528
Sum27376095
Variance858775.57
MonotonicityNot monotonic
2024-05-11T14:45:08.086312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442540.68621 3
 
4.8%
440040.309820942 2
 
3.2%
439023.167125842 2
 
3.2%
442942.674206616 2
 
3.2%
442127.015243919 2
 
3.2%
441061.183824715 2
 
3.2%
442227.10430966 1
 
1.6%
440742.445234719 1
 
1.6%
441997.82629268 1
 
1.6%
440511.045961439 1
 
1.6%
Other values (45) 45
72.6%
ValueCountFrequency (%)
439023.167125842 2
3.2%
439724.746607732 1
1.6%
440036.612573755 1
1.6%
440040.309820942 2
3.2%
440356.985611655 1
1.6%
440511.045961439 1
1.6%
440742.445234719 1
1.6%
440824.599967693 1
1.6%
440877.087548044 1
1.6%
440899.400949664 1
1.6%
ValueCountFrequency (%)
443106.906695848 1
 
1.6%
443036.17421717 1
 
1.6%
442942.674206616 2
3.2%
442682.575681869 1
 
1.6%
442661.490899376 1
 
1.6%
442624.827429015 1
 
1.6%
442580.559271496 1
 
1.6%
442540.68621 3
4.8%
442483.131081868 1
 
1.6%
442285.117236689 1
 
1.6%

문화체육업종명
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
인쇄사
53 
<NA>
9 

Length

Max length4
Median length3
Mean length3.1451613
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인쇄사 53
85.5%
<NA> 9
 
14.5%

Length

2024-05-11T14:45:08.380264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:45:08.558195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인쇄사 53
85.5%
na 9
 
14.5%

문화사업자구분명
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
출판인쇄업
53 
<NA>
9 

Length

Max length5
Median length5
Mean length4.8548387
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판인쇄업 53
85.5%
<NA> 9
 
14.5%

Length

2024-05-11T14:45:08.740513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:45:08.911497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 53
85.5%
na 9
 
14.5%

총층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
56 
4
 
3
7
 
1
6
 
1
3
 
1

Length

Max length4
Median length4
Mean length3.7096774
Min length1

Unique

Unique3 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 56
90.3%
4 3
 
4.8%
7 1
 
1.6%
6 1
 
1.6%
3 1
 
1.6%

Length

2024-05-11T14:45:09.121479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:45:09.315125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
90.3%
4 3
 
4.8%
7 1
 
1.6%
6 1
 
1.6%
3 1
 
1.6%

주변환경명
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
58 
주택가주변
 
4

Length

Max length5
Median length4
Mean length4.0645161
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> 58
93.5%
주택가주변 4
 
6.5%

Length

2024-05-11T14:45:09.467368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:45:09.631680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 58
93.5%
주택가주변 4
 
6.5%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

시설면적
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing55
Missing (%)88.7%
Infinite0
Infinite (%)0.0%
Mean108.53714
Minimum31.51
Maximum331
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-05-11T14:45:09.774431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum31.51
5-th percentile32.146
Q139.015
median66
Q3126.61
95-th percentile281.188
Maximum331
Range299.49
Interquartile range (IQR)87.595

Descriptive statistics

Standard deviation108.43713
Coefficient of variation (CV)0.99907853
Kurtosis3.1945785
Mean108.53714
Median Absolute Deviation (MAD)32.37
Skewness1.8231549
Sum759.76
Variance11758.611
MonotonicityNot monotonic
2024-05-11T14:45:09.918962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
66.0 1
 
1.6%
33.63 1
 
1.6%
164.96 1
 
1.6%
88.26 1
 
1.6%
331.0 1
 
1.6%
31.51 1
 
1.6%
44.4 1
 
1.6%
(Missing) 55
88.7%
ValueCountFrequency (%)
31.51 1
1.6%
33.63 1
1.6%
44.4 1
1.6%
66.0 1
1.6%
88.26 1
1.6%
164.96 1
1.6%
331.0 1
1.6%
ValueCountFrequency (%)
331.0 1
1.6%
164.96 1
1.6%
88.26 1
1.6%
66.0 1
1.6%
44.4 1
1.6%
33.63 1
1.6%
31.51 1
1.6%

지상층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
55 
1
 
4
3
 
2
6
 
1

Length

Max length4
Median length4
Mean length3.6612903
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 55
88.7%
1 4
 
6.5%
3 2
 
3.2%
6 1
 
1.6%

Length

2024-05-11T14:45:10.083102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:45:10.237841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
88.7%
1 4
 
6.5%
3 2
 
3.2%
6 1
 
1.6%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
59 
1
 
3

Length

Max length4
Median length4
Mean length3.8548387
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> 59
95.2%
1 3
 
4.8%

Length

2024-05-11T14:45:10.430184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:45:10.635026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 59
95.2%
1 3
 
4.8%

건물용도명
Text

MISSING 

Distinct4
Distinct (%)57.1%
Missing55
Missing (%)88.7%
Memory size628.0 B
2024-05-11T14:45:10.840239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length6
Mean length6.8571429
Min length3

Characters and Unicode

Total characters48
Distinct characters24
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)42.9%

Sample

1st row교육연구시설
2nd row다가구용 주택(공동주택적용)
3rd row근린생활시설
4th row근린생활시설
5th row근린생활시설
ValueCountFrequency (%)
근린생활시설 4
50.0%
교육연구시설 1
 
12.5%
다가구용 1
 
12.5%
주택(공동주택적용 1
 
12.5%
사무실 1
 
12.5%
2024-05-11T14:45:11.220185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 5
 
10.4%
설 5
 
10.4%
근 4
 
8.3%
생 4
 
8.3%
활 4
 
8.3%
린 4
 
8.3%
구 2
 
4.2%
택 2
 
4.2%
주 2
 
4.2%
용 2
 
4.2%
Other values (14) 14
29.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45
93.8%
Space Separator 1
 
2.1%
Open Punctuation 1
 
2.1%
Close Punctuation 1
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 5
11.1%
설 5
11.1%
근 4
 
8.9%
생 4
 
8.9%
활 4
 
8.9%
린 4
 
8.9%
구 2
 
4.4%
택 2
 
4.4%
주 2
 
4.4%
용 2
 
4.4%
Other values (11) 11
24.4%
Space Separator
ValueCountFrequency (%)
1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45
93.8%
Common 3
 
6.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 5
11.1%
설 5
11.1%
근 4
 
8.9%
생 4
 
8.9%
활 4
 
8.9%
린 4
 
8.9%
구 2
 
4.4%
택 2
 
4.4%
주 2
 
4.4%
용 2
 
4.4%
Other values (11) 11
24.4%
Common
ValueCountFrequency (%)
1
33.3%
( 1
33.3%
) 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45
93.8%
ASCII 3
 
6.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 5
11.1%
설 5
11.1%
근 4
 
8.9%
생 4
 
8.9%
활 4
 
8.9%
린 4
 
8.9%
구 2
 
4.4%
택 2
 
4.4%
주 2
 
4.4%
용 2
 
4.4%
Other values (11) 11
24.4%
ASCII
ValueCountFrequency (%)
1
33.3%
( 1
33.3%
) 1
33.3%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

지역구분명
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
55 
일반주거지역
7 

Length

Max length6
Median length4
Mean length4.2258065
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> 55
88.7%
일반주거지역 7
 
11.3%

Length

2024-05-11T14:45:11.447805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:45:11.610626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
88.7%
일반주거지역 7
 
11.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03200000CDFG125200199300000119930510<NA>1영업/정상13영업중<NA><NA><NA><NA>02-877-1448<NA>151057서울특별시 관악구 봉천동 ****-**번지서울특별시 관악구 낙성대로 **, *층 (봉천동)151057관악사2015-02-04 09:07:21I2018-08-31 23:59:59.0<NA>196347.890512441688.166121인쇄사출판인쇄업<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>
13200000CDFG125200199700000119971008<NA>3폐업3폐업20151021<NA><NA><NA>883-2828<NA>151853서울특별시 관악구 신림동 **-***번지서울특별시 관악구 신림로 *** (신림동)<NA>상익문화사2015-10-21 10:29:51I2018-08-31 23:59:59.0<NA>194095.599733441764.581453인쇄사출판인쇄업<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>
23200000CDFG125200200000000120000531<NA>1영업/정상13영업중<NA><NA><NA><NA>871-7061<NA>151927서울특별시 관악구 신림동 ***-**번지 *층서울특별시 관악구 신림로 ***, *층 (신림동)151927신한2013-05-27 09:56:18I2018-08-31 23:59:59.0<NA>194242.018761441024.082101인쇄사출판인쇄업<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>
33200000CDFG125200200100000120010823<NA>1영업/정상13영업중<NA><NA><NA><NA>884-8227<NA>151927서울특별시 관악구 신림동 ***-*번지서울특별시 관악구 신림로**길 *-* (신림동)<NA>거상인쇄2003-03-20 10:28:55I2018-08-31 23:59:59.0<NA>194244.471428441041.002556인쇄사출판인쇄업<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>
43200000CDFG125200200200000220020521<NA>3폐업3폐업20140325<NA><NA><NA>874-7985<NA>151866서울특별시 관악구 신림동 ***-**번지서울특별시 관악구 신림로**길 *-* (신림동)<NA>민창사2014-03-25 11:21:56I2018-08-31 23:59:59.0<NA>194133.95313441400.192118인쇄사출판인쇄업<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>
53200000CDFG125200200200000320020903<NA>1영업/정상13영업중<NA><NA><NA><NA>883-5100<NA>151836서울특별시 관악구 봉천동 ***-*번지서울특별시 관악구 관악로 *** (봉천동)<NA>동아인쇄2003-03-20 10:29:13I2018-08-31 23:59:59.0<NA>195705.629976442012.599463인쇄사출판인쇄업<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>
63200000CDFG12520020020000042002-10-09<NA>1영업/정상13영업중<NA><NA><NA><NA>02-880-5252<NA>151-916서울특별시 관악구 신림동 산 **-*서울특별시 관악구 관악로 * (신림동)151-916사단법인 서울대학교 출판문화원2023-06-05 11:23:05U2022-12-06 00:08:00.0<NA>196139.86497439023.167126<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>
73200000CDFG125200200300000220030609<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 ***-***번지 *층서울특별시 관악구 신림로**길 **, *층 (신림동, 유일빌딩)08837가원PNC2017-06-13 09:12:22I2018-08-31 23:59:59.0<NA>194253.34769441208.695135인쇄사출판인쇄업<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>
83200000CDFG125200200300000320030609<NA>1영업/정상13영업중<NA><NA><NA><NA>830-8404<NA>151889서울특별시 관악구 신림동 ***-**번지서울특별시 관악구 난곡로**길 ** (신림동)<NA>정양기획2003-06-09 10:36:35I2018-08-31 23:59:59.0<NA>192906.530972440824.599968인쇄사출판인쇄업<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>
93200000CDFG12520020030000052003-08-05<NA>3폐업3폐업2024-03-25<NA><NA><NA>02-871-2118<NA><NA>서울특별시 관악구 신림동 ****-** *층서울특별시 관악구 신림로**길 *, *층 (신림동)08813관악문화사2024-03-25 15:19:58U2023-12-02 22:07:00.0<NA>194394.556511440877.087548<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>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
523200000CDFG125200201500000720151103<NA>3폐업3폐업20180223<NA><NA><NA>02-878-0610<NA><NA>서울특별시 관악구 신림동 ***-**번지 *층서울특별시 관악구 신림로 ***, *층 (신림동)08839카피플러스 서울대점2018-02-23 15:16:46I2018-08-31 23:59:59.0<NA>194258.054279441021.526722인쇄사출판인쇄업<NA><NA><NA>331.0<NA><NA>사무실<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
533200000CDFG125200201500000820151215<NA>1영업/정상13영업중<NA><NA><NA><NA>02-877-1552<NA><NA>서울특별시 관악구 봉천동 ***-**번지 **층*호서울특별시 관악구 남부순환로 ****, **층 *호 (봉천동, 관악센츄리타워)08787케이엠커뮤니케이션(주)2016-02-17 16:52:26I2018-08-31 23:59:59.0<NA>195588.796492442098.372819인쇄사출판인쇄업<NA><NA><NA>31.51<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>
543200000CDFG125200201600000120160120<NA>3폐업3폐업20210323<NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 **** 삼성산주공아파트 상가동 비***호서울특별시 관악구 호암로 ***, 지층 비***호 (신림동, 삼성산주공아파트)08847에스지피앤엠2021-03-23 09:39:21U2021-03-25 02:40:00.0<NA>193394.836537440040.309821인쇄사출판인쇄업<NA><NA><NA>44.4<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>
553200000CDFG125200201600000220160421<NA>3폐업3폐업20160503<NA><NA><NA>876-2842<NA><NA>서울특별시 관악구 봉천동 ***-***번지 *층서울특별시 관악구 국회단지길 **, *층 (봉천동, 봉천동사회선교회관)08713함께사는세상2016-05-03 13:40:55I2018-08-31 23:59:59.0<NA>194741.979689442942.674207인쇄사출판인쇄업<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>
563200000CDFG125200201600000320160503<NA>1영업/정상13영업중<NA><NA><NA><NA>02-876-2842<NA><NA>서울특별시 관악구 봉천동 ***-***번지 *층서울특별시 관악구 국회단지길 **, *층 (봉천동, 봉천동사회선교회관)08713함께사는세상2016-11-16 09:51:50I2018-08-31 23:59:59.0<NA>194741.979689442942.674207인쇄사출판인쇄업<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>
573200000CDFG125200201700000120170124<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림로 ***, *층 (신림동)08838정문사2017-01-24 09:41:05I2018-08-31 23:59:59.0<NA>194151.281309441061.183825인쇄사출판인쇄업<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>
583200000CDFG12520020180000012018-02-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 ***-*** 지층,*층서울특별시 관악구 신림로 ***, 지층,*층 (신림동)08837주식회사 꿈인2023-05-18 11:08:51U2022-12-04 22:00:00.0<NA>194262.828685441316.463386<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>
593200000CDFG12520020230000012017-04-14<NA>1영업/정상13영업중<NA><NA><NA><NA>070-5029-0995<NA><NA>서울특별시 관악구 봉천동 ****-* 동아타운아파트 ***호서울특별시 관악구 봉천로 ***, ***호 (봉천동, 동아타운아파트)08792상상애드2023-04-06 14:31:46I2022-12-04 00:08:00.0<NA>196501.159766441640.881044<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>
603200000CDFG12520020230000022023-07-18<NA>1영업/정상13영업중<NA><NA><NA><NA>025336082<NA><NA>서울특별시 관악구 남현동 ****-* G빌딩서울특별시 관악구 남부순환로 ****, G빌딩 *층 (남현동)08804디지뎁스(Digi DEPs)2023-07-18 14:30:38I2022-12-06 22:00:00.0<NA>197531.406782441496.23535<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>
613200000CDFG12520020240000012024-01-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 ****-*서울특별시 관악구 난곡로 **, *층 (신림동)08861작업공감협동조합2024-01-16 10:20:07I2023-11-30 23:08:00.0<NA>192790.227329440036.612574<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>