Overview

Dataset statistics

Number of variables44
Number of observations70
Missing cells604
Missing cells (%)19.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.8 KiB
Average record size in memory376.9 B

Variable types

Categorical22
Text7
DateTime4
Unsupported7
Numeric3
Boolean1

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),위생업태명,남성종사자수,여성종사자수,영업장주변구분명,등급구분명,급수시설구분명,총인원,본사종업원수,공장사무직종업원수,공장판매직종업원수,공장생산직종업원수,건물소유구분명,보증액,월세액,다중이용업소여부,시설총규모,전통업소지정번호,전통업소주된음식,홈페이지
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-18322/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (55.5%)Imbalance
여성종사자수 is highly imbalanced (54.9%)Imbalance
영업장주변구분명 is highly imbalanced (52.0%)Imbalance
총인원 is highly imbalanced (89.2%)Imbalance
인허가취소일자 has 70 (100.0%) missing valuesMissing
폐업일자 has 27 (38.6%) missing valuesMissing
휴업시작일자 has 70 (100.0%) missing valuesMissing
휴업종료일자 has 70 (100.0%) missing valuesMissing
재개업일자 has 70 (100.0%) missing valuesMissing
전화번호 has 5 (7.1%) missing valuesMissing
소재지우편번호 has 3 (4.3%) missing valuesMissing
지번주소 has 3 (4.3%) missing valuesMissing
도로명주소 has 27 (38.6%) missing valuesMissing
도로명우편번호 has 28 (40.0%) missing valuesMissing
좌표정보(X) has 4 (5.7%) missing valuesMissing
좌표정보(Y) has 4 (5.7%) missing valuesMissing
다중이용업소여부 has 13 (18.6%) missing valuesMissing
전통업소지정번호 has 70 (100.0%) missing valuesMissing
전통업소주된음식 has 70 (100.0%) missing valuesMissing
홈페이지 has 70 (100.0%) missing valuesMissing
관리번호 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
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 06:40:43.494106
Analysis finished2024-05-11 06:40:44.607444
Duration1.11 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size692.0 B
3200000
70 

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 70
100.0%

Length

2024-05-11T15:40:44.701659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:44.855358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3200000 70
100.0%

관리번호
Text

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size692.0 B
2024-05-11T15:40:45.144202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters1540
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

Unique70 ?
Unique (%)100.0%

Sample

1st row3200000-114-1995-00506
2nd row3200000-114-1995-00584
3rd row3200000-114-1995-00595
4th row3200000-114-1996-00507
5th row3200000-114-1996-00508
ValueCountFrequency (%)
3200000-114-1995-00506 1
 
1.4%
3200000-114-2009-00003 1
 
1.4%
3200000-114-2010-00003 1
 
1.4%
3200000-114-2010-00002 1
 
1.4%
3200000-114-2010-00001 1
 
1.4%
3200000-114-2009-00006 1
 
1.4%
3200000-114-2009-00005 1
 
1.4%
3200000-114-2013-00003 1
 
1.4%
3200000-114-2009-00002 1
 
1.4%
3200000-114-2012-00001 1
 
1.4%
Other values (60) 60
85.7%
2024-05-11T15:40:45.686073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 689
44.7%
- 210
 
13.6%
1 207
 
13.4%
2 147
 
9.5%
4 87
 
5.6%
3 84
 
5.5%
9 56
 
3.6%
5 27
 
1.8%
6 18
 
1.2%
7 10
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1330
86.4%
Dash Punctuation 210
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 689
51.8%
1 207
 
15.6%
2 147
 
11.1%
4 87
 
6.5%
3 84
 
6.3%
9 56
 
4.2%
5 27
 
2.0%
6 18
 
1.4%
7 10
 
0.8%
8 5
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
- 210
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1540
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 689
44.7%
- 210
 
13.6%
1 207
 
13.4%
2 147
 
9.5%
4 87
 
5.6%
3 84
 
5.5%
9 56
 
3.6%
5 27
 
1.8%
6 18
 
1.2%
7 10
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1540
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 689
44.7%
- 210
 
13.6%
1 207
 
13.4%
2 147
 
9.5%
4 87
 
5.6%
3 84
 
5.5%
9 56
 
3.6%
5 27
 
1.8%
6 18
 
1.2%
7 10
 
0.6%

인허가일자
Date

Distinct66
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
Minimum1995-09-18 00:00:00
Maximum2023-07-14 00:00:00
2024-05-11T15:40:45.959227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:40:46.173927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
3
43 
1
27 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 43
61.4%
1 27
38.6%

Length

2024-05-11T15:40:46.397551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:46.565887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 43
61.4%
1 27
38.6%

영업상태명
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
폐업
43 
영업/정상
27 

Length

Max length5
Median length2
Mean length3.1571429
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 43
61.4%
영업/정상 27
38.6%

Length

2024-05-11T15:40:46.748023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:46.992948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 43
61.4%
영업/정상 27
38.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
2
43 
1
27 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 43
61.4%
1 27
38.6%

Length

2024-05-11T15:40:47.163553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:47.310057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 43
61.4%
1 27
38.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
폐업
43 
영업
27 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 43
61.4%
영업 27
38.6%

Length

2024-05-11T15:40:47.515442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:47.710099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 43
61.4%
영업 27
38.6%

폐업일자
Date

MISSING 

Distinct42
Distinct (%)97.7%
Missing27
Missing (%)38.6%
Memory size692.0 B
Minimum1997-09-23 00:00:00
Maximum2024-01-04 00:00:00
2024-05-11T15:40:47.955893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:40:48.257968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

전화번호
Text

MISSING 

Distinct61
Distinct (%)93.8%
Missing5
Missing (%)7.1%
Memory size692.0 B
2024-05-11T15:40:48.722535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.8923077
Min length2

Characters and Unicode

Total characters643
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

Unique58 ?
Unique (%)89.2%

Sample

1st row02 0
2nd row02 8518238
3rd row02 8656304
4th row02
5th row02 8752500
ValueCountFrequency (%)
02 59
44.7%
875 2
 
1.5%
2500 2
 
1.5%
0 2
 
1.5%
882 2
 
1.5%
8871255 1
 
0.8%
8835597 1
 
0.8%
0232898002 1
 
0.8%
8664277 1
 
0.8%
8645656 1
 
0.8%
Other values (60) 60
45.5%
2024-05-11T15:40:49.678214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 113
17.6%
2 103
16.0%
8 95
14.8%
83
12.9%
6 45
 
7.0%
5 44
 
6.8%
3 41
 
6.4%
7 38
 
5.9%
4 33
 
5.1%
1 28
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 560
87.1%
Space Separator 83
 
12.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 113
20.2%
2 103
18.4%
8 95
17.0%
6 45
 
8.0%
5 44
 
7.9%
3 41
 
7.3%
7 38
 
6.8%
4 33
 
5.9%
1 28
 
5.0%
9 20
 
3.6%
Space Separator
ValueCountFrequency (%)
83
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 643
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 113
17.6%
2 103
16.0%
8 95
14.8%
83
12.9%
6 45
 
7.0%
5 44
 
6.8%
3 41
 
6.4%
7 38
 
5.9%
4 33
 
5.1%
1 28
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 643
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 113
17.6%
2 103
16.0%
8 95
14.8%
83
12.9%
6 45
 
7.0%
5 44
 
6.8%
3 41
 
6.4%
7 38
 
5.9%
4 33
 
5.1%
1 28
 
4.4%

소재지면적
Text

Distinct60
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size692.0 B
2024-05-11T15:40:50.047075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length6.0142857
Min length3

Characters and Unicode

Total characters421
Distinct characters12
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

Unique54 ?
Unique (%)77.1%

Sample

1st row617.45
2nd row392.10
3rd row328.60
4th row.00
5th row860.00
ValueCountFrequency (%)
00 6
 
8.6%
613.99 2
 
2.9%
660.00 2
 
2.9%
388.96 2
 
2.9%
330.00 2
 
2.9%
860.00 2
 
2.9%
695.80 1
 
1.4%
1,180.96 1
 
1.4%
310.00 1
 
1.4%
868.00 1
 
1.4%
Other values (50) 50
71.4%
2024-05-11T15:40:50.755736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 103
24.5%
. 70
16.6%
6 38
 
9.0%
3 36
 
8.6%
8 27
 
6.4%
9 27
 
6.4%
1 26
 
6.2%
5 26
 
6.2%
4 22
 
5.2%
2 19
 
4.5%
Other values (2) 27
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 342
81.2%
Other Punctuation 79
 
18.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 103
30.1%
6 38
 
11.1%
3 36
 
10.5%
8 27
 
7.9%
9 27
 
7.9%
1 26
 
7.6%
5 26
 
7.6%
4 22
 
6.4%
2 19
 
5.6%
7 18
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 70
88.6%
, 9
 
11.4%

Most occurring scripts

ValueCountFrequency (%)
Common 421
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 103
24.5%
. 70
16.6%
6 38
 
9.0%
3 36
 
8.6%
8 27
 
6.4%
9 27
 
6.4%
1 26
 
6.2%
5 26
 
6.2%
4 22
 
5.2%
2 19
 
4.5%
Other values (2) 27
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 421
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 103
24.5%
. 70
16.6%
6 38
 
9.0%
3 36
 
8.6%
8 27
 
6.4%
9 27
 
6.4%
1 26
 
6.2%
5 26
 
6.2%
4 22
 
5.2%
2 19
 
4.5%
Other values (2) 27
 
6.4%

소재지우편번호
Text

MISSING 

Distinct42
Distinct (%)62.7%
Missing3
Missing (%)4.3%
Memory size692.0 B
2024-05-11T15:40:51.289253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.119403
Min length6

Characters and Unicode

Total characters410
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

Unique27 ?
Unique (%)40.3%

Sample

1st row151725
2nd row151015
3rd row151876
4th row151904
5th row151843
ValueCountFrequency (%)
151843 4
 
6.0%
151015 4
 
6.0%
151891 4
 
6.0%
151844 3
 
4.5%
151830 3
 
4.5%
151895 3
 
4.5%
151840 3
 
4.5%
151810 2
 
3.0%
151832 2
 
3.0%
151883 2
 
3.0%
Other values (32) 37
55.2%
2024-05-11T15:40:51.931370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 149
36.3%
5 85
20.7%
8 59
 
14.4%
0 29
 
7.1%
4 19
 
4.6%
3 14
 
3.4%
9 14
 
3.4%
7 13
 
3.2%
2 11
 
2.7%
6 9
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 402
98.0%
Dash Punctuation 8
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 149
37.1%
5 85
21.1%
8 59
 
14.7%
0 29
 
7.2%
4 19
 
4.7%
3 14
 
3.5%
9 14
 
3.5%
7 13
 
3.2%
2 11
 
2.7%
6 9
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 410
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 149
36.3%
5 85
20.7%
8 59
 
14.4%
0 29
 
7.1%
4 19
 
4.6%
3 14
 
3.4%
9 14
 
3.4%
7 13
 
3.2%
2 11
 
2.7%
6 9
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 410
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 149
36.3%
5 85
20.7%
8 59
 
14.4%
0 29
 
7.1%
4 19
 
4.6%
3 14
 
3.4%
9 14
 
3.4%
7 13
 
3.2%
2 11
 
2.7%
6 9
 
2.2%

지번주소
Text

MISSING 

Distinct63
Distinct (%)94.0%
Missing3
Missing (%)4.3%
Memory size692.0 B
2024-05-11T15:40:52.479910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34
Mean length25.373134
Min length19

Characters and Unicode

Total characters1700
Distinct characters90
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)88.1%

Sample

1st row서울특별시 관악구 봉천동 31-1 관악프라자상가 지하1층
2nd row서울특별시 관악구 신림동 1695-0 동부상가 115호
3rd row서울특별시 관악구 신림동 540-1 지상1층
4th row서울특별시 관악구 신림동 1668-6
5th row서울특별시 관악구 봉천동 951-25
ValueCountFrequency (%)
서울특별시 67
20.6%
관악구 67
20.6%
봉천동 33
 
10.2%
신림동 31
 
9.5%
지하1층 5
 
1.5%
951-25 4
 
1.2%
1426-7 4
 
1.2%
지상1층 3
 
0.9%
남현동 3
 
0.9%
2층 2
 
0.6%
Other values (91) 106
32.6%
2024-05-11T15:40:53.404103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
311
18.3%
1 115
 
6.8%
관 73
 
4.3%
악 73
 
4.3%
동 72
 
4.2%
서 67
 
3.9%
특 67
 
3.9%
별 67
 
3.9%
시 67
 
3.9%
구 67
 
3.9%
Other values (80) 721
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 924
54.4%
Decimal Number 382
22.5%
Space Separator 311
 
18.3%
Dash Punctuation 62
 
3.6%
Other Punctuation 11
 
0.6%
Math Symbol 4
 
0.2%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 73
 
7.9%
악 73
 
7.9%
동 72
 
7.8%
서 67
 
7.3%
특 67
 
7.3%
별 67
 
7.3%
시 67
 
7.3%
구 67
 
7.3%
울 67
 
7.3%
봉 35
 
3.8%
Other values (61) 269
29.1%
Decimal Number
ValueCountFrequency (%)
1 115
30.1%
2 49
12.8%
0 38
 
9.9%
6 35
 
9.2%
3 32
 
8.4%
5 31
 
8.1%
7 29
 
7.6%
9 21
 
5.5%
4 21
 
5.5%
8 11
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 10
90.9%
? 1
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
311
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 924
54.4%
Common 774
45.5%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 73
 
7.9%
악 73
 
7.9%
동 72
 
7.8%
서 67
 
7.3%
특 67
 
7.3%
별 67
 
7.3%
시 67
 
7.3%
구 67
 
7.3%
울 67
 
7.3%
봉 35
 
3.8%
Other values (61) 269
29.1%
Common
ValueCountFrequency (%)
311
40.2%
1 115
 
14.9%
- 62
 
8.0%
2 49
 
6.3%
0 38
 
4.9%
6 35
 
4.5%
3 32
 
4.1%
5 31
 
4.0%
7 29
 
3.7%
9 21
 
2.7%
Other values (7) 51
 
6.6%
Latin
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 924
54.4%
ASCII 776
45.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
311
40.1%
1 115
 
14.8%
- 62
 
8.0%
2 49
 
6.3%
0 38
 
4.9%
6 35
 
4.5%
3 32
 
4.1%
5 31
 
4.0%
7 29
 
3.7%
9 21
 
2.7%
Other values (9) 53
 
6.8%
Hangul
ValueCountFrequency (%)
관 73
 
7.9%
악 73
 
7.9%
동 72
 
7.8%
서 67
 
7.3%
특 67
 
7.3%
별 67
 
7.3%
시 67
 
7.3%
구 67
 
7.3%
울 67
 
7.3%
봉 35
 
3.8%
Other values (61) 269
29.1%

도로명주소
Text

MISSING 

Distinct43
Distinct (%)100.0%
Missing27
Missing (%)38.6%
Memory size692.0 B
2024-05-11T15:40:54.022227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length40
Mean length32.674419
Min length22

Characters and Unicode

Total characters1405
Distinct characters105
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)100.0%

Sample

1st row서울특별시 관악구 원신2길 34 (신림동)
2nd row서울특별시 관악구 남부순환로 1631, 대현빌딩 지하1층 (신림동)
3rd row서울특별시 관악구 남부순환로157길 63 (신림동)
4th row서울특별시 관악구 신림로 144 (신림동,116-30)
5th row서울특별시 관악구 남부순환로248길 35 (봉천동)
ValueCountFrequency (%)
서울특별시 43
 
16.3%
관악구 43
 
16.3%
봉천동 19
 
7.2%
신림동 14
 
5.3%
남부순환로 6
 
2.3%
지하1층 6
 
2.3%
1층 4
 
1.5%
장군봉1길 4
 
1.5%
난곡로 3
 
1.1%
12 3
 
1.1%
Other values (100) 118
44.9%
2024-05-11T15:40:54.751925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
220
 
15.7%
1 78
 
5.6%
, 55
 
3.9%
관 50
 
3.6%
악 50
 
3.6%
동 49
 
3.5%
) 44
 
3.1%
( 44
 
3.1%
서 43
 
3.1%
특 43
 
3.1%
Other values (95) 729
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 819
58.3%
Space Separator 220
 
15.7%
Decimal Number 218
 
15.5%
Other Punctuation 55
 
3.9%
Close Punctuation 44
 
3.1%
Open Punctuation 44
 
3.1%
Math Symbol 2
 
0.1%
Uppercase Letter 2
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 50
 
6.1%
악 50
 
6.1%
동 49
 
6.0%
서 43
 
5.3%
특 43
 
5.3%
별 43
 
5.3%
시 43
 
5.3%
구 43
 
5.3%
울 43
 
5.3%
로 37
 
4.5%
Other values (77) 375
45.8%
Decimal Number
ValueCountFrequency (%)
1 78
35.8%
2 29
 
13.3%
0 23
 
10.6%
3 22
 
10.1%
6 14
 
6.4%
5 13
 
6.0%
9 13
 
6.0%
4 13
 
6.0%
8 7
 
3.2%
7 6
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
220
100.0%
Other Punctuation
ValueCountFrequency (%)
, 55
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 819
58.3%
Common 584
41.6%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 50
 
6.1%
악 50
 
6.1%
동 49
 
6.0%
서 43
 
5.3%
특 43
 
5.3%
별 43
 
5.3%
시 43
 
5.3%
구 43
 
5.3%
울 43
 
5.3%
로 37
 
4.5%
Other values (77) 375
45.8%
Common
ValueCountFrequency (%)
220
37.7%
1 78
 
13.4%
, 55
 
9.4%
) 44
 
7.5%
( 44
 
7.5%
2 29
 
5.0%
0 23
 
3.9%
3 22
 
3.8%
6 14
 
2.4%
5 13
 
2.2%
Other values (6) 42
 
7.2%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 819
58.3%
ASCII 586
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
220
37.5%
1 78
 
13.3%
, 55
 
9.4%
) 44
 
7.5%
( 44
 
7.5%
2 29
 
4.9%
0 23
 
3.9%
3 22
 
3.8%
6 14
 
2.4%
5 13
 
2.2%
Other values (8) 44
 
7.5%
Hangul
ValueCountFrequency (%)
관 50
 
6.1%
악 50
 
6.1%
동 49
 
6.0%
서 43
 
5.3%
특 43
 
5.3%
별 43
 
5.3%
시 43
 
5.3%
구 43
 
5.3%
울 43
 
5.3%
로 37
 
4.5%
Other values (77) 375
45.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)81.0%
Missing28
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean8778.8095
Minimum8708
Maximum8861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2024-05-11T15:40:54.987168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8708
5-th percentile8722.15
Q18744.75
median8767.5
Q38807.5
95-th percentile8856
Maximum8861
Range153
Interquartile range (IQR)62.75

Descriptive statistics

Standard deviation45.477005
Coefficient of variation (CV)0.0051803157
Kurtosis-0.92359473
Mean8778.8095
Median Absolute Deviation (MAD)27
Skewness0.52970757
Sum368710
Variance2068.158
MonotonicityNot monotonic
2024-05-11T15:40:55.281375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
8735 2
 
2.9%
8784 2
 
2.9%
8753 2
 
2.9%
8749 2
 
2.9%
8754 2
 
2.9%
8785 2
 
2.9%
8846 2
 
2.9%
8856 2
 
2.9%
8786 1
 
1.4%
8716 1
 
1.4%
Other values (24) 24
34.3%
(Missing) 28
40.0%
ValueCountFrequency (%)
8708 1
1.4%
8716 1
1.4%
8722 1
1.4%
8725 1
1.4%
8731 1
1.4%
8734 1
1.4%
8735 2
2.9%
8739 1
1.4%
8742 1
1.4%
8744 1
1.4%
ValueCountFrequency (%)
8861 1
1.4%
8860 1
1.4%
8856 2
2.9%
8849 1
1.4%
8848 1
1.4%
8846 2
2.9%
8838 1
1.4%
8812 1
1.4%
8808 1
1.4%
8806 1
1.4%

사업장명
Text

Distinct67
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size692.0 B
2024-05-11T15:40:55.792246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length8.6
Min length3

Characters and Unicode

Total characters602
Distinct characters135
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

Unique64 ?
Unique (%)91.4%

Sample

1st row주)해태유통관악영업소
2nd row장-마트
3rd row펭귄할인마트
4th row관악농협농특산물백화점
5th row(주)베스트스토아
ValueCountFrequency (%)
주식회사 3
 
3.4%
현대그린마트 2
 
2.2%
관악농협농특산물백화점 2
 
2.2%
주)베스트스토아 2
 
2.2%
관악점 2
 
2.2%
난곡신세계할인마트 1
 
1.1%
주)현대직판장 1
 
1.1%
인헌점 1
 
1.1%
주)신진유통 1
 
1.1%
주)지에스리테일낙성대점 1
 
1.1%
Other values (73) 73
82.0%
2024-05-11T15:40:56.585439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
트 44
 
7.3%
마 43
 
7.1%
주 25
 
4.2%
) 23
 
3.8%
( 22
 
3.7%
19
 
3.2%
점 19
 
3.2%
관 17
 
2.8%
악 17
 
2.8%
스 14
 
2.3%
Other values (125) 359
59.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 535
88.9%
Close Punctuation 23
 
3.8%
Open Punctuation 22
 
3.7%
Space Separator 19
 
3.2%
Uppercase Letter 2
 
0.3%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 44
 
8.2%
마 43
 
8.0%
주 25
 
4.7%
점 19
 
3.6%
관 17
 
3.2%
악 17
 
3.2%
스 14
 
2.6%
농 12
 
2.2%
인 9
 
1.7%
식 9
 
1.7%
Other values (119) 326
60.9%
Uppercase Letter
ValueCountFrequency (%)
G 1
50.0%
S 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 535
88.9%
Common 65
 
10.8%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 44
 
8.2%
마 43
 
8.0%
주 25
 
4.7%
점 19
 
3.6%
관 17
 
3.2%
악 17
 
3.2%
스 14
 
2.6%
농 12
 
2.2%
인 9
 
1.7%
식 9
 
1.7%
Other values (119) 326
60.9%
Common
ValueCountFrequency (%)
) 23
35.4%
( 22
33.8%
19
29.2%
- 1
 
1.5%
Latin
ValueCountFrequency (%)
G 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 535
88.9%
ASCII 67
 
11.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
트 44
 
8.2%
마 43
 
8.0%
주 25
 
4.7%
점 19
 
3.6%
관 17
 
3.2%
악 17
 
3.2%
스 14
 
2.6%
농 12
 
2.2%
인 9
 
1.7%
식 9
 
1.7%
Other values (119) 326
60.9%
ASCII
ValueCountFrequency (%)
) 23
34.3%
( 22
32.8%
19
28.4%
- 1
 
1.5%
G 1
 
1.5%
S 1
 
1.5%

최종수정일자
Date

Distinct69
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size692.0 B
Minimum1999-08-27 00:00:00
Maximum2024-05-03 13:29:39
2024-05-11T15:40:56.866686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:40:57.282135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
I
51 
U
19 

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 51
72.9%
U 19
 
27.1%

Length

2024-05-11T15:40:57.679297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:58.019750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 51
72.9%
u 19
 
27.1%

데이터갱신일자
Date

Distinct23
Distinct (%)32.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T15:40:58.428603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:40:58.796729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size692.0 B
기타식품판매업
70 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 70
100.0%

Length

2024-05-11T15:40:59.102744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:40:59.443358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 70
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct51
Distinct (%)77.3%
Missing4
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean194593.94
Minimum191411.36
Maximum198400.38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2024-05-11T15:40:59.710003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191411.36
5-th percentile192365.61
Q1193691.22
median194486.27
Q3195800.76
95-th percentile196961.89
Maximum198400.38
Range6989.0207
Interquartile range (IQR)2109.5452

Descriptive statistics

Standard deviation1541.1927
Coefficient of variation (CV)0.0079200445
Kurtosis-0.2305407
Mean194593.94
Median Absolute Deviation (MAD)942.74484
Skewness0.34644701
Sum12843200
Variance2375274.8
MonotonicityNot monotonic
2024-05-11T15:41:00.057074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
194486.270488664 4
 
5.7%
193750.825947451 4
 
5.7%
193301.885808714 2
 
2.9%
194891.415322891 2
 
2.9%
194770.417438694 2
 
2.9%
194899.891834822 2
 
2.9%
196350.708293561 2
 
2.9%
192893.347466833 2
 
2.9%
195963.335274799 2
 
2.9%
192123.138621726 2
 
2.9%
Other values (41) 42
60.0%
(Missing) 4
 
5.7%
ValueCountFrequency (%)
191411.359729 1
1.4%
192123.138621726 2
2.9%
192360.231992932 1
1.4%
192381.753588978 1
1.4%
192582.733941704 1
1.4%
192597.407974484 1
1.4%
192674.885947244 1
1.4%
192817.818457133 1
1.4%
192867.828148396 1
1.4%
192893.347466833 2
2.9%
ValueCountFrequency (%)
198400.38041053 1
1.4%
198081.693933879 1
1.4%
198059.477138778 1
1.4%
196978.243746073 1
1.4%
196912.833572618 1
1.4%
196534.587783352 1
1.4%
196501.159765837 1
1.4%
196384.544308046 1
1.4%
196350.708293561 2
2.9%
196338.0 1
1.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct51
Distinct (%)77.3%
Missing4
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean442096.97
Minimum439817
Maximum443179.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2024-05-11T15:41:00.492539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439817
5-th percentile440903.82
Q1441577.59
median442312.52
Q3442670.92
95-th percentile443144.27
Maximum443179.97
Range3362.966
Interquartile range (IQR)1093.338

Descriptive statistics

Standard deviation787.66867
Coefficient of variation (CV)0.0017816649
Kurtosis0.11942268
Mean442096.97
Median Absolute Deviation (MAD)428.45817
Skewness-0.87693494
Sum29178400
Variance620421.93
MonotonicityNot monotonic
2024-05-11T15:41:00.796846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442632.469540589 4
 
5.7%
442753.219280937 4
 
5.7%
443151.561302292 2
 
2.9%
442173.945830247 2
 
2.9%
442676.831360439 2
 
2.9%
442135.938022991 2
 
2.9%
442532.440501316 2
 
2.9%
440903.81963928 2
 
2.9%
442381.536010445 2
 
2.9%
442289.559467269 2
 
2.9%
Other values (41) 42
60.0%
(Missing) 4
 
5.7%
ValueCountFrequency (%)
439816.999224208 1
1.4%
440263.768319604 1
1.4%
440293.901638173 1
1.4%
440903.81963928 2
2.9%
440910.563872941 1
1.4%
440917.845099207 1
1.4%
440969.217895676 1
1.4%
440992.894473184 1
1.4%
441000.851294178 1
1.4%
441062.629889011 1
1.4%
ValueCountFrequency (%)
443179.96522589 1
 
1.4%
443151.561302292 2
2.9%
443148.827256697 1
 
1.4%
443130.607614887 1
 
1.4%
443064.437566493 1
 
1.4%
442951.0 1
 
1.4%
442822.980265735 1
 
1.4%
442753.219280937 4
5.7%
442689.631154181 1
 
1.4%
442676.831360439 2
2.9%

위생업태명
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
기타식품판매업
57 
<NA>
13 

Length

Max length7
Median length7
Mean length6.4428571
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 57
81.4%
<NA> 13
 
18.6%

Length

2024-05-11T15:41:01.144260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:41:01.363683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 57
81.4%
na 13
 
18.6%

남성종사자수
Categorical

IMBALANCE 

Distinct6
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size692.0 B
<NA>
53 
0
12 
1
 
2
3
 
1
12
 
1

Length

Max length4
Median length4
Mean length3.3
Min length1

Unique

Unique3 ?
Unique (%)4.3%

Sample

1st row<NA>
2nd row3
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 53
75.7%
0 12
 
17.1%
1 2
 
2.9%
3 1
 
1.4%
12 1
 
1.4%
11 1
 
1.4%

Length

2024-05-11T15:41:01.581047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:41:01.826228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 53
75.7%
0 12
 
17.1%
1 2
 
2.9%
3 1
 
1.4%
12 1
 
1.4%
11 1
 
1.4%

여성종사자수
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size692.0 B
<NA>
54 
0
12 
10
 
2
3
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.3428571
Min length1

Unique

Unique2 ?
Unique (%)2.9%

Sample

1st row<NA>
2nd row3
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 54
77.1%
0 12
 
17.1%
10 2
 
2.9%
3 1
 
1.4%
1 1
 
1.4%

Length

2024-05-11T15:41:02.139287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:41:02.386997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 54
77.1%
0 12
 
17.1%
10 2
 
2.9%
3 1
 
1.4%
1 1
 
1.4%

영업장주변구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size692.0 B
<NA>
53 
주택가주변
9 
기타
 
4
유흥업소밀집지역
 
2
아파트지역
 
1

Length

Max length8
Median length4
Mean length4.2
Min length2

Unique

Unique2 ?
Unique (%)2.9%

Sample

1st row주택가주변
2nd row아파트지역
3rd row주택가주변
4th row주택가주변
5th row주택가주변

Common Values

ValueCountFrequency (%)
<NA> 53
75.7%
주택가주변 9
 
12.9%
기타 4
 
5.7%
유흥업소밀집지역 2
 
2.9%
아파트지역 1
 
1.4%
학교정화(상대) 1
 
1.4%

Length

2024-05-11T15:41:02.651416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:41:02.929493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 53
75.7%
주택가주변 9
 
12.9%
기타 4
 
5.7%
유흥업소밀집지역 2
 
2.9%
아파트지역 1
 
1.4%
학교정화(상대 1
 
1.4%

등급구분명
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
<NA>
53 
기타
17 

Length

Max length4
Median length4
Mean length3.5142857
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 53
75.7%
기타 17
 
24.3%

Length

2024-05-11T15:41:03.255374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:41:03.645540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 53
75.7%
기타 17
 
24.3%

급수시설구분명
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
<NA>
57 
상수도전용
13 

Length

Max length5
Median length4
Mean length4.1857143
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> 57
81.4%
상수도전용 13
 
18.6%

Length

2024-05-11T15:41:03.951014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:41:04.244771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
81.4%
상수도전용 13
 
18.6%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
<NA>
69 
0
 
1

Length

Max length4
Median length4
Mean length3.9571429
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 69
98.6%
0 1
 
1.4%

Length

2024-05-11T15:41:04.513825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:41:04.754494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 69
98.6%
0 1
 
1.4%

본사종업원수
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
0
39 
<NA>
31 

Length

Max length4
Median length1
Mean length2.3285714
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
0 39
55.7%
<NA> 31
44.3%

Length

2024-05-11T15:41:04.988571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:41:05.265987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 39
55.7%
na 31
44.3%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
0
39 
<NA>
31 

Length

Max length4
Median length1
Mean length2.3285714
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
0 39
55.7%
<NA> 31
44.3%

Length

2024-05-11T15:41:05.559260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:41:05.790052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 39
55.7%
na 31
44.3%

공장판매직종업원수
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
0
39 
<NA>
31 

Length

Max length4
Median length1
Mean length2.3285714
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
0 39
55.7%
<NA> 31
44.3%

Length

2024-05-11T15:41:06.049818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:41:06.274236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 39
55.7%
na 31
44.3%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
0
39 
<NA>
31 

Length

Max length4
Median length1
Mean length2.3285714
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
0 39
55.7%
<NA> 31
44.3%

Length

2024-05-11T15:41:06.477229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:41:06.683954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 39
55.7%
na 31
44.3%

건물소유구분명
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
<NA>
37 
임대
23 
자가
10 

Length

Max length4
Median length4
Mean length3.0571429
Min length2

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> 37
52.9%
임대 23
32.9%
자가 10
 
14.3%

Length

2024-05-11T15:41:06.892517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:41:07.070400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
52.9%
임대 23
32.9%
자가 10
 
14.3%

보증액
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
<NA>
62 
0
8 

Length

Max length4
Median length4
Mean length3.6571429
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> 62
88.6%
0 8
 
11.4%

Length

2024-05-11T15:41:07.284375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:41:07.869338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 62
88.6%
0 8
 
11.4%

월세액
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
<NA>
62 
0
8 

Length

Max length4
Median length4
Mean length3.6571429
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> 62
88.6%
0 8
 
11.4%

Length

2024-05-11T15:41:08.065584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:41:08.291671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 62
88.6%
0 8
 
11.4%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)1.8%
Missing13
Missing (%)18.6%
Memory size272.0 B
False
57 
(Missing)
13 
ValueCountFrequency (%)
False 57
81.4%
(Missing) 13
 
18.6%
2024-05-11T15:41:08.440282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
0
56 
<NA>
13 
66
 
1

Length

Max length4
Median length1
Mean length1.5714286
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 56
80.0%
<NA> 13
 
18.6%
66 1
 
1.4%

Length

2024-05-11T15:41:08.589066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:41:08.795811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 56
80.0%
na 13
 
18.6%
66 1
 
1.4%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
032000003200000-114-1995-0050619951125<NA>3폐업2폐업20030402<NA><NA><NA>02 0617.45151725서울특별시 관악구 봉천동 31-1 관악프라자상가 지하1층<NA><NA>주)해태유통관악영업소2003-02-17 00:00:00I2018-08-31 23:59:59.0기타식품판매업195963.335275442381.53601기타식품판매업<NA><NA>주택가주변기타<NA><NA>0000<NA><NA><NA>N0<NA><NA><NA>
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