Overview

Dataset statistics

Number of variables44
Number of observations80
Missing cells813
Missing cells (%)23.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.6 KiB
Average record size in memory378.6 B

Variable types

Categorical21
Text6
DateTime3
Unsupported9
Numeric4
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
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-18030/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
급수시설구분명 is highly imbalanced (76.9%)Imbalance
인허가취소일자 has 80 (100.0%) missing valuesMissing
폐업일자 has 26 (32.5%) missing valuesMissing
휴업시작일자 has 80 (100.0%) missing valuesMissing
휴업종료일자 has 80 (100.0%) missing valuesMissing
재개업일자 has 80 (100.0%) missing valuesMissing
전화번호 has 25 (31.2%) missing valuesMissing
소재지면적 has 3 (3.8%) missing valuesMissing
도로명주소 has 7 (8.8%) missing valuesMissing
도로명우편번호 has 8 (10.0%) missing valuesMissing
영업장주변구분명 has 80 (100.0%) missing valuesMissing
등급구분명 has 80 (100.0%) missing valuesMissing
다중이용업소여부 has 12 (15.0%) missing valuesMissing
시설총규모 has 12 (15.0%) missing valuesMissing
전통업소지정번호 has 80 (100.0%) missing valuesMissing
전통업소주된음식 has 80 (100.0%) missing valuesMissing
홈페이지 has 80 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영업장주변구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
등급구분명 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
시설총규모 has 62 (77.5%) zerosZeros

Reproduction

Analysis started2024-05-11 04:29:59.403750
Analysis finished2024-05-11 04:30:00.925400
Duration1.52 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
3030000
80 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3030000
2nd row3030000
3rd row3030000
4th row3030000
5th row3030000

Common Values

ValueCountFrequency (%)
3030000 80
100.0%

Length

2024-05-11T04:30:01.147433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:30:01.564461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 80
100.0%

관리번호
Text

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2024-05-11T04:30:02.196281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters1760
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

Unique80 ?
Unique (%)100.0%

Sample

1st row3030000-122-2008-00001
2nd row3030000-122-2008-00002
3rd row3030000-122-2008-00003
4th row3030000-122-2008-00004
5th row3030000-122-2008-00005
ValueCountFrequency (%)
3030000-122-2008-00001 1
 
1.2%
3030000-122-2008-00002 1
 
1.2%
3030000-122-2016-00004 1
 
1.2%
3030000-122-2016-00003 1
 
1.2%
3030000-122-2016-00002 1
 
1.2%
3030000-122-2016-00001 1
 
1.2%
3030000-122-2015-00001 1
 
1.2%
3030000-122-2014-00004 1
 
1.2%
3030000-122-2014-00003 1
 
1.2%
3030000-122-2017-00001 1
 
1.2%
Other values (70) 70
87.5%
2024-05-11T04:30:03.365998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 818
46.5%
2 284
 
16.1%
- 240
 
13.6%
3 178
 
10.1%
1 175
 
9.9%
8 17
 
1.0%
4 14
 
0.8%
9 14
 
0.8%
6 8
 
0.5%
5 7
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1520
86.4%
Dash Punctuation 240
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 818
53.8%
2 284
 
18.7%
3 178
 
11.7%
1 175
 
11.5%
8 17
 
1.1%
4 14
 
0.9%
9 14
 
0.9%
6 8
 
0.5%
5 7
 
0.5%
7 5
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
- 240
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1760
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 818
46.5%
2 284
 
16.1%
- 240
 
13.6%
3 178
 
10.1%
1 175
 
9.9%
8 17
 
1.0%
4 14
 
0.8%
9 14
 
0.8%
6 8
 
0.5%
5 7
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1760
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 818
46.5%
2 284
 
16.1%
- 240
 
13.6%
3 178
 
10.1%
1 175
 
9.9%
8 17
 
1.0%
4 14
 
0.8%
9 14
 
0.8%
6 8
 
0.5%
5 7
 
0.4%

인허가일자
Date

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
Minimum2008-03-19 00:00:00
Maximum2023-12-06 00:00:00
2024-05-11T04:30:03.961399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:30:04.625286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
3
54 
1
26 

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 54
67.5%
1 26
32.5%

Length

2024-05-11T04:30:05.170020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:30:05.602120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 54
67.5%
1 26
32.5%

영업상태명
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
폐업
54 
영업/정상
26 

Length

Max length5
Median length2
Mean length2.975
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 54
67.5%
영업/정상 26
32.5%

Length

2024-05-11T04:30:06.364642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:30:06.876073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 54
67.5%
영업/정상 26
32.5%

상세영업상태코드
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
2
54 
1
26 

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 54
67.5%
1 26
32.5%

Length

2024-05-11T04:30:07.516479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:30:08.045406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 54
67.5%
1 26
32.5%

상세영업상태명
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
폐업
54 
영업
26 

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 54
67.5%
영업 26
32.5%

Length

2024-05-11T04:30:08.645601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:30:09.238317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 54
67.5%
영업 26
32.5%

폐업일자
Date

MISSING 

Distinct52
Distinct (%)96.3%
Missing26
Missing (%)32.5%
Memory size772.0 B
Minimum2010-04-22 00:00:00
Maximum2023-05-31 00:00:00
2024-05-11T04:30:09.775605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:30:10.501755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

전화번호
Text

MISSING 

Distinct54
Distinct (%)98.2%
Missing25
Missing (%)31.2%
Memory size772.0 B
2024-05-11T04:30:11.138338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.290909
Min length10

Characters and Unicode

Total characters621
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

Unique53 ?
Unique (%)96.4%

Sample

1st row000222957809
2nd row0222915917
3rd row000204650090
4th row02 22920767
5th row0222815993
ValueCountFrequency (%)
02 29
29.6%
464 3
 
3.1%
031 2
 
2.0%
22816959 2
 
2.0%
0222817130 1
 
1.0%
07075275200 1
 
1.0%
4061676 1
 
1.0%
0269250515 1
 
1.0%
000222957809 1
 
1.0%
0233955546 1
 
1.0%
Other values (56) 56
57.1%
2024-05-11T04:30:12.338386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 126
20.3%
2 125
20.1%
66
10.6%
9 46
 
7.4%
7 41
 
6.6%
6 38
 
6.1%
5 38
 
6.1%
1 37
 
6.0%
4 37
 
6.0%
8 34
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 555
89.4%
Space Separator 66
 
10.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 126
22.7%
2 125
22.5%
9 46
 
8.3%
7 41
 
7.4%
6 38
 
6.8%
5 38
 
6.8%
1 37
 
6.7%
4 37
 
6.7%
8 34
 
6.1%
3 33
 
5.9%
Space Separator
ValueCountFrequency (%)
66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 621
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 126
20.3%
2 125
20.1%
66
10.6%
9 46
 
7.4%
7 41
 
6.6%
6 38
 
6.1%
5 38
 
6.1%
1 37
 
6.0%
4 37
 
6.0%
8 34
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 621
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 126
20.3%
2 125
20.1%
66
10.6%
9 46
 
7.4%
7 41
 
6.6%
6 38
 
6.1%
5 38
 
6.1%
1 37
 
6.0%
4 37
 
6.0%
8 34
 
5.5%

소재지면적
Text

MISSING 

Distinct61
Distinct (%)79.2%
Missing3
Missing (%)3.8%
Memory size772.0 B
2024-05-11T04:30:12.943755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.1428571
Min length4

Characters and Unicode

Total characters396
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

Unique53 ?
Unique (%)68.8%

Sample

1st row38.33
2nd row58.78
3rd row73.10
4th row91.20
5th row26.73
ValueCountFrequency (%)
10.00 6
 
7.8%
33.00 4
 
5.2%
15.00 4
 
5.2%
22.00 2
 
2.6%
35.00 2
 
2.6%
30.00 2
 
2.6%
6.60 2
 
2.6%
20.00 2
 
2.6%
15.36 1
 
1.3%
9.70 1
 
1.3%
Other values (51) 51
66.2%
2024-05-11T04:30:14.209026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 110
27.8%
. 77
19.4%
1 37
 
9.3%
3 33
 
8.3%
2 31
 
7.8%
6 24
 
6.1%
5 23
 
5.8%
9 18
 
4.5%
7 14
 
3.5%
4 14
 
3.5%
Other values (2) 15
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 318
80.3%
Other Punctuation 78
 
19.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 110
34.6%
1 37
 
11.6%
3 33
 
10.4%
2 31
 
9.7%
6 24
 
7.5%
5 23
 
7.2%
9 18
 
5.7%
7 14
 
4.4%
4 14
 
4.4%
8 14
 
4.4%
Other Punctuation
ValueCountFrequency (%)
. 77
98.7%
, 1
 
1.3%

Most occurring scripts

ValueCountFrequency (%)
Common 396
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 110
27.8%
. 77
19.4%
1 37
 
9.3%
3 33
 
8.3%
2 31
 
7.8%
6 24
 
6.1%
5 23
 
5.8%
9 18
 
4.5%
7 14
 
3.5%
4 14
 
3.5%
Other values (2) 15
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 396
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 110
27.8%
. 77
19.4%
1 37
 
9.3%
3 33
 
8.3%
2 31
 
7.8%
6 24
 
6.1%
5 23
 
5.8%
9 18
 
4.5%
7 14
 
3.5%
4 14
 
3.5%
Other values (2) 15
 
3.8%

소재지우편번호
Categorical

Distinct26
Distinct (%)32.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
133814
15 
133832
12 
133815
8 
133812
7 
133050
5 
Other values (21)
33 

Length

Max length7
Median length6
Mean length6.075
Min length6

Unique

Unique12 ?
Unique (%)15.0%

Sample

1st row133050
2nd row133880
3rd row133822
4th row133814
5th row133871

Common Values

ValueCountFrequency (%)
133814 15
18.8%
133832 12
15.0%
133815 8
 
10.0%
133812 7
 
8.8%
133050 5
 
6.2%
133070 3
 
3.8%
133880 3
 
3.8%
133822 3
 
3.8%
133829 2
 
2.5%
133833 2
 
2.5%
Other values (16) 20
25.0%

Length

2024-05-11T04:30:14.798193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
133814 15
18.8%
133832 12
15.0%
133815 8
 
10.0%
133812 7
 
8.8%
133050 5
 
6.2%
133070 3
 
3.8%
133880 3
 
3.8%
133822 3
 
3.8%
133816 2
 
2.5%
133-812 2
 
2.5%
Other values (16) 20
25.0%

지번주소
Text

Distinct75
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
2024-05-11T04:30:15.584237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length33
Mean length26.3375
Min length17

Characters and Unicode

Total characters2107
Distinct characters106
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

Unique70 ?
Unique (%)87.5%

Sample

1st row서울특별시 성동구 마장동 439-9 (지상2층)
2nd row서울특별시 성동구 홍익동 95 (지상1층)
3rd row서울특별시 성동구 성수동1가 13-165 지상1층(상원1길 15 )
4th row서울특별시 성동구 마장동 506-9
5th row서울특별시 성동구 행당동 19-49 지상1층(사근동길 379-1 )
ValueCountFrequency (%)
서울특별시 80
20.6%
성동구 80
20.6%
마장동 40
 
10.3%
성수동2가 21
 
5.4%
278-25 10
 
2.6%
지상2층 8
 
2.1%
지상1층 8
 
2.1%
행당동 7
 
1.8%
성수동1가 6
 
1.5%
506-9 3
 
0.8%
Other values (104) 126
32.4%
2024-05-11T04:30:16.827641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
377
17.9%
동 166
 
7.9%
성 109
 
5.2%
1 89
 
4.2%
2 88
 
4.2%
울 80
 
3.8%
구 80
 
3.8%
서 80
 
3.8%
시 80
 
3.8%
별 80
 
3.8%
Other values (96) 878
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1142
54.2%
Decimal Number 457
21.7%
Space Separator 377
 
17.9%
Dash Punctuation 73
 
3.5%
Uppercase Letter 22
 
1.0%
Open Punctuation 15
 
0.7%
Close Punctuation 15
 
0.7%
Other Punctuation 4
 
0.2%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 166
14.5%
성 109
 
9.5%
울 80
 
7.0%
구 80
 
7.0%
서 80
 
7.0%
시 80
 
7.0%
별 80
 
7.0%
특 80
 
7.0%
마 41
 
3.6%
장 40
 
3.5%
Other values (68) 306
26.8%
Decimal Number
ValueCountFrequency (%)
1 89
19.5%
2 88
19.3%
5 51
11.2%
7 43
9.4%
9 36
7.9%
3 34
 
7.4%
0 34
 
7.4%
4 34
 
7.4%
8 25
 
5.5%
6 23
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
Y 3
13.6%
B 3
13.6%
H 2
9.1%
E 2
9.1%
G 2
9.1%
O 2
9.1%
U 2
9.1%
N 2
9.1%
D 2
9.1%
R 2
9.1%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
@ 1
 
25.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
50.0%
k 1
50.0%
Space Separator
ValueCountFrequency (%)
377
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 73
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1142
54.2%
Common 941
44.7%
Latin 24
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 166
14.5%
성 109
 
9.5%
울 80
 
7.0%
구 80
 
7.0%
서 80
 
7.0%
시 80
 
7.0%
별 80
 
7.0%
특 80
 
7.0%
마 41
 
3.6%
장 40
 
3.5%
Other values (68) 306
26.8%
Common
ValueCountFrequency (%)
377
40.1%
1 89
 
9.5%
2 88
 
9.4%
- 73
 
7.8%
5 51
 
5.4%
7 43
 
4.6%
9 36
 
3.8%
3 34
 
3.6%
0 34
 
3.6%
4 34
 
3.6%
Other values (6) 82
 
8.7%
Latin
ValueCountFrequency (%)
Y 3
12.5%
B 3
12.5%
H 2
8.3%
E 2
8.3%
G 2
8.3%
O 2
8.3%
U 2
8.3%
N 2
8.3%
D 2
8.3%
R 2
8.3%
Other values (2) 2
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1142
54.2%
ASCII 965
45.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
377
39.1%
1 89
 
9.2%
2 88
 
9.1%
- 73
 
7.6%
5 51
 
5.3%
7 43
 
4.5%
9 36
 
3.7%
3 34
 
3.5%
0 34
 
3.5%
4 34
 
3.5%
Other values (18) 106
 
11.0%
Hangul
ValueCountFrequency (%)
동 166
14.5%
성 109
 
9.5%
울 80
 
7.0%
구 80
 
7.0%
서 80
 
7.0%
시 80
 
7.0%
별 80
 
7.0%
특 80
 
7.0%
마 41
 
3.6%
장 40
 
3.5%
Other values (68) 306
26.8%

도로명주소
Text

MISSING 

Distinct70
Distinct (%)95.9%
Missing7
Missing (%)8.8%
Memory size772.0 B
2024-05-11T04:30:17.644833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length46
Mean length36.945205
Min length26

Characters and Unicode

Total characters2697
Distinct characters125
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)91.8%

Sample

1st row서울특별시 성동구 무학로12길 10 (홍익동,(지상1층))
2nd row서울특별시 성동구 마조로 19-10 (행당동,지상1층(사근동길 379-1 ))
3rd row서울특별시 성동구 성수이로 118 (성수동2가,성수아카데미17층11-1호)
4th row서울특별시 성동구 마장로39나길 17-2, 지상1층 (마장동, 767-34)
5th row서울특별시 성동구 마장로35나길 9-1 (마장동,지상1층,2층)
ValueCountFrequency (%)
서울특별시 73
 
15.1%
성동구 73
 
15.1%
마장동 34
 
7.0%
1층 18
 
3.7%
성수동2가 15
 
3.1%
아차산로13길 10
 
2.1%
37 10
 
2.1%
지상1층 8
 
1.7%
2층 5
 
1.0%
마장로31길 5
 
1.0%
Other values (155) 232
48.0%
2024-05-11T04:30:18.923338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
410
 
15.2%
1 150
 
5.6%
동 148
 
5.5%
성 108
 
4.0%
, 100
 
3.7%
2 97
 
3.6%
) 82
 
3.0%
( 82
 
3.0%
층 75
 
2.8%
서 74
 
2.7%
Other values (115) 1371
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1426
52.9%
Decimal Number 543
 
20.1%
Space Separator 410
 
15.2%
Other Punctuation 100
 
3.7%
Close Punctuation 82
 
3.0%
Open Punctuation 82
 
3.0%
Dash Punctuation 39
 
1.4%
Uppercase Letter 12
 
0.4%
Lowercase Letter 2
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 148
 
10.4%
성 108
 
7.6%
층 75
 
5.3%
서 74
 
5.2%
구 73
 
5.1%
특 73
 
5.1%
울 73
 
5.1%
별 73
 
5.1%
시 73
 
5.1%
로 69
 
4.8%
Other values (86) 587
41.2%
Uppercase Letter
ValueCountFrequency (%)
B 2
16.7%
O 1
8.3%
D 1
8.3%
N 1
8.3%
U 1
8.3%
R 1
8.3%
G 1
8.3%
Y 1
8.3%
E 1
8.3%
H 1
8.3%
Decimal Number
ValueCountFrequency (%)
1 150
27.6%
2 97
17.9%
3 68
12.5%
0 45
 
8.3%
5 44
 
8.1%
9 40
 
7.4%
7 35
 
6.4%
4 25
 
4.6%
6 22
 
4.1%
8 17
 
3.1%
Lowercase Letter
ValueCountFrequency (%)
s 1
50.0%
k 1
50.0%
Space Separator
ValueCountFrequency (%)
410
100.0%
Other Punctuation
ValueCountFrequency (%)
, 100
100.0%
Close Punctuation
ValueCountFrequency (%)
) 82
100.0%
Open Punctuation
ValueCountFrequency (%)
( 82
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1426
52.9%
Common 1257
46.6%
Latin 14
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 148
 
10.4%
성 108
 
7.6%
층 75
 
5.3%
서 74
 
5.2%
구 73
 
5.1%
특 73
 
5.1%
울 73
 
5.1%
별 73
 
5.1%
시 73
 
5.1%
로 69
 
4.8%
Other values (86) 587
41.2%
Common
ValueCountFrequency (%)
410
32.6%
1 150
 
11.9%
, 100
 
8.0%
2 97
 
7.7%
) 82
 
6.5%
( 82
 
6.5%
3 68
 
5.4%
0 45
 
3.6%
5 44
 
3.5%
9 40
 
3.2%
Other values (6) 139
 
11.1%
Latin
ValueCountFrequency (%)
B 2
14.3%
O 1
 
7.1%
D 1
 
7.1%
N 1
 
7.1%
U 1
 
7.1%
R 1
 
7.1%
G 1
 
7.1%
Y 1
 
7.1%
E 1
 
7.1%
H 1
 
7.1%
Other values (3) 3
21.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1426
52.9%
ASCII 1271
47.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
410
32.3%
1 150
 
11.8%
, 100
 
7.9%
2 97
 
7.6%
) 82
 
6.5%
( 82
 
6.5%
3 68
 
5.4%
0 45
 
3.5%
5 44
 
3.5%
9 40
 
3.1%
Other values (19) 153
 
12.0%
Hangul
ValueCountFrequency (%)
동 148
 
10.4%
성 108
 
7.6%
층 75
 
5.3%
서 74
 
5.2%
구 73
 
5.1%
특 73
 
5.1%
울 73
 
5.1%
별 73
 
5.1%
시 73
 
5.1%
로 69
 
4.8%
Other values (86) 587
41.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)34.7%
Missing8
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean4755.1389
Minimum4704
Maximum4799
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-05-11T04:30:19.368271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4704
5-th percentile4704
Q14748
median4752
Q34779
95-th percentile4796
Maximum4799
Range95
Interquartile range (IQR)31

Descriptive statistics

Standard deviation30.268426
Coefficient of variation (CV)0.0063654137
Kurtosis-0.79335448
Mean4755.1389
Median Absolute Deviation (MAD)24
Skewness-0.31355101
Sum342370
Variance916.17762
MonotonicityNot monotonic
2024-05-11T04:30:19.958522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
4796 10
12.5%
4704 9
11.2%
4748 9
11.2%
4752 6
 
7.5%
4749 6
 
7.5%
4776 4
 
5.0%
4756 4
 
5.0%
4779 3
 
3.8%
4706 3
 
3.8%
4758 2
 
2.5%
Other values (15) 16
20.0%
(Missing) 8
10.0%
ValueCountFrequency (%)
4704 9
11.2%
4706 3
 
3.8%
4711 1
 
1.2%
4718 1
 
1.2%
4735 1
 
1.2%
4745 1
 
1.2%
4748 9
11.2%
4749 6
7.5%
4750 1
 
1.2%
4752 6
7.5%
ValueCountFrequency (%)
4799 1
 
1.2%
4797 1
 
1.2%
4796 10
12.5%
4793 1
 
1.2%
4792 2
 
2.5%
4782 1
 
1.2%
4779 3
 
3.8%
4778 1
 
1.2%
4776 4
 
5.0%
4775 1
 
1.2%

사업장명
Text

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2024-05-11T04:30:20.441015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length13
Mean length7.9
Min length3

Characters and Unicode

Total characters632
Distinct characters180
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

Unique80 ?
Unique (%)100.0%

Sample

1st row크린씨푸드(clean sea food)
2nd row한양푸드LTD.
3rd row(주)경일물류
4th row굿모닝미트(주)
5th row푸드벤쳐(Food Venture)
ValueCountFrequency (%)
주식회사 8
 
8.1%
크린씨푸드(clean 1
 
1.0%
프레시 1
 
1.0%
평강 1
 
1.0%
농업회사법인(주 1
 
1.0%
반드시유통 1
 
1.0%
주)태원푸드 1
 
1.0%
해피푸드 1
 
1.0%
주)연승푸드 1
 
1.0%
북부사업단 1
 
1.0%
Other values (82) 82
82.8%
2024-05-11T04:30:21.456661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 41
 
6.5%
) 35
 
5.5%
( 34
 
5.4%
드 30
 
4.7%
푸 28
 
4.4%
19
 
3.0%
식 17
 
2.7%
사 16
 
2.5%
한 14
 
2.2%
유 14
 
2.2%
Other values (170) 384
60.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 513
81.2%
Close Punctuation 35
 
5.5%
Open Punctuation 34
 
5.4%
Lowercase Letter 25
 
4.0%
Space Separator 19
 
3.0%
Uppercase Letter 5
 
0.8%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 41
 
8.0%
드 30
 
5.8%
푸 28
 
5.5%
식 17
 
3.3%
사 16
 
3.1%
한 14
 
2.7%
유 14
 
2.7%
회 12
 
2.3%
통 12
 
2.3%
에 11
 
2.1%
Other values (147) 318
62.0%
Lowercase Letter
ValueCountFrequency (%)
o 4
16.0%
e 4
16.0%
d 3
12.0%
s 2
8.0%
n 2
8.0%
a 2
8.0%
f 1
 
4.0%
i 1
 
4.0%
k 1
 
4.0%
c 1
 
4.0%
Other values (4) 4
16.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
20.0%
T 1
20.0%
D 1
20.0%
F 1
20.0%
V 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 513
81.2%
Common 89
 
14.1%
Latin 30
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 41
 
8.0%
드 30
 
5.8%
푸 28
 
5.5%
식 17
 
3.3%
사 16
 
3.1%
한 14
 
2.7%
유 14
 
2.7%
회 12
 
2.3%
통 12
 
2.3%
에 11
 
2.1%
Other values (147) 318
62.0%
Latin
ValueCountFrequency (%)
o 4
13.3%
e 4
13.3%
d 3
 
10.0%
s 2
 
6.7%
n 2
 
6.7%
a 2
 
6.7%
f 1
 
3.3%
L 1
 
3.3%
i 1
 
3.3%
k 1
 
3.3%
Other values (9) 9
30.0%
Common
ValueCountFrequency (%)
) 35
39.3%
( 34
38.2%
19
21.3%
. 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 513
81.2%
ASCII 119
 
18.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 41
 
8.0%
드 30
 
5.8%
푸 28
 
5.5%
식 17
 
3.3%
사 16
 
3.1%
한 14
 
2.7%
유 14
 
2.7%
회 12
 
2.3%
통 12
 
2.3%
에 11
 
2.1%
Other values (147) 318
62.0%
ASCII
ValueCountFrequency (%)
) 35
29.4%
( 34
28.6%
19
16.0%
o 4
 
3.4%
e 4
 
3.4%
d 3
 
2.5%
s 2
 
1.7%
n 2
 
1.7%
a 2
 
1.7%
f 1
 
0.8%
Other values (13) 13
 
10.9%

최종수정일자
Date

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
Minimum2008-05-13 16:14:52
Maximum2024-03-22 15:53:56
2024-05-11T04:30:21.896003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:30:22.561040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
I
59 
U
21 

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 59
73.8%
U 21
 
26.2%

Length

2024-05-11T04:30:22.978597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:30:23.299714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 59
73.8%
u 21
 
26.2%

데이터갱신일자
Categorical

Distinct28
Distinct (%)35.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2018-08-31 23:59:59.0
50 
2023-12-02 22:04:00.0
 
3
2021-12-12 02:40:00.0
 
2
2019-02-02 02:21:07.0
 
1
2021-12-05 22:06:00.0
 
1
Other values (23)
23 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique25 ?
Unique (%)31.2%

Sample

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

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 50
62.5%
2023-12-02 22:04:00.0 3
 
3.8%
2021-12-12 02:40:00.0 2
 
2.5%
2019-02-02 02:21:07.0 1
 
1.2%
2021-12-05 22:06:00.0 1
 
1.2%
2021-12-05 23:02:00.0 1
 
1.2%
2021-12-19 02:40:00.0 1
 
1.2%
2022-12-01 00:04:00.0 1
 
1.2%
2019-09-12 02:40:00.0 1
 
1.2%
2021-08-22 02:40:00.0 1
 
1.2%
Other values (18) 18
 
22.5%

Length

2024-05-11T04:30:23.650692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 50
31.2%
23:59:59.0 50
31.2%
02:40:00.0 13
 
8.1%
2021-12-05 4
 
2.5%
2023-12-02 3
 
1.9%
22:04:00.0 3
 
1.9%
2021-12-12 2
 
1.2%
2022-12-06 2
 
1.2%
2022-03-13 1
 
0.6%
00:07:00.0 1
 
0.6%
Other values (31) 31
19.4%

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
집단급식소 식품판매업
80 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row집단급식소 식품판매업
2nd row집단급식소 식품판매업
3rd row집단급식소 식품판매업
4th row집단급식소 식품판매업
5th row집단급식소 식품판매업

Common Values

ValueCountFrequency (%)
집단급식소 식품판매업 80
100.0%

Length

2024-05-11T04:30:23.965259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:30:24.232716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 80
50.0%
식품판매업 80
50.0%

좌표정보(X)
Real number (ℝ)

Distinct57
Distinct (%)71.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203842.43
Minimum201396.93
Maximum205631.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-05-11T04:30:24.597642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201396.93
5-th percentile202675.76
Q1203262.12
median203539.11
Q3204471.67
95-th percentile205398.96
Maximum205631.33
Range4234.3908
Interquartile range (IQR)1209.546

Descriptive statistics

Standard deviation923.20063
Coefficient of variation (CV)0.0045289914
Kurtosis-0.30059428
Mean203842.43
Median Absolute Deviation (MAD)345.28492
Skewness0.34242755
Sum16307395
Variance852299.39
MonotonicityNot monotonic
2024-05-11T04:30:24.963657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205398.955849813 10
 
12.5%
203563.745183854 3
 
3.8%
203457.418095604 3
 
3.8%
203228.149471085 3
 
3.8%
202694.13790524 3
 
3.8%
203185.350733153 2
 
2.5%
203205.149139362 2
 
2.5%
203312.143108271 2
 
2.5%
204968.746844566 2
 
2.5%
203246.123340028 2
 
2.5%
Other values (47) 48
60.0%
ValueCountFrequency (%)
201396.934308384 1
 
1.2%
202214.811977542 1
 
1.2%
202268.558960141 1
 
1.2%
202326.503044305 1
 
1.2%
202694.13790524 3
3.8%
203043.862198552 1
 
1.2%
203137.840931388 1
 
1.2%
203158.64695599 1
 
1.2%
203185.350733153 2
2.5%
203205.149139362 2
2.5%
ValueCountFrequency (%)
205631.325158202 1
 
1.2%
205583.478361767 1
 
1.2%
205398.955849813 10
12.5%
205039.907145725 1
 
1.2%
204968.746844566 2
 
2.5%
204759.943759299 1
 
1.2%
204743.677915464 1
 
1.2%
204738.697773758 2
 
2.5%
204716.436737085 1
 
1.2%
204390.075780509 1
 
1.2%

좌표정보(Y)
Real number (ℝ)

Distinct57
Distinct (%)71.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean450809.87
Minimum448112.6
Maximum452138.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-05-11T04:30:25.393685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448112.6
5-th percentile448520.76
Q1449377.93
median451594.19
Q3451986.49
95-th percentile452111.95
Maximum452138.17
Range4025.5723
Interquartile range (IQR)2608.5602

Descriptive statistics

Standard deviation1317.627
Coefficient of variation (CV)0.0029227999
Kurtosis-1.3233643
Mean450809.87
Median Absolute Deviation (MAD)467.65348
Skewness-0.57294402
Sum36064789
Variance1736141
MonotonicityNot monotonic
2024-05-11T04:30:25.846775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449377.925347971 10
 
12.5%
451999.051116446 3
 
3.8%
452024.541779156 3
 
3.8%
451381.725988619 3
 
3.8%
451640.843037552 3
 
3.8%
452028.850449526 2
 
2.5%
452013.085277254 2
 
2.5%
451819.452381737 2
 
2.5%
448112.599103945 2
 
2.5%
452138.17136839 2
 
2.5%
Other values (47) 48
60.0%
ValueCountFrequency (%)
448112.599103945 2
2.5%
448292.63195545 1
1.2%
448384.624423938 1
1.2%
448527.9260926 1
1.2%
448928.103703401 1
1.2%
449109.7662398 1
1.2%
449132.442018536 1
1.2%
449132.45650081 1
1.2%
449216.223655036 1
1.2%
449237.445364857 1
1.2%
ValueCountFrequency (%)
452138.17136839 2
2.5%
452127.749317533 1
 
1.2%
452119.471112417 1
 
1.2%
452111.559127019 1
 
1.2%
452082.819550985 1
 
1.2%
452040.873638592 1
 
1.2%
452035.065988965 1
 
1.2%
452028.850449526 2
2.5%
452024.541779156 3
3.8%
452017.77416399 1
 
1.2%

위생업태명
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
집단급식소 식품판매업
68 
<NA>
12 

Length

Max length11
Median length11
Mean length9.95
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row집단급식소 식품판매업
2nd row집단급식소 식품판매업
3rd row집단급식소 식품판매업
4th row집단급식소 식품판매업
5th row집단급식소 식품판매업

Common Values

ValueCountFrequency (%)
집단급식소 식품판매업 68
85.0%
<NA> 12
 
15.0%

Length

2024-05-11T04:30:26.331505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:30:26.687583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 68
45.9%
식품판매업 68
45.9%
na 12
 
8.1%

남성종사자수
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
70 
0
10 

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> 70
87.5%
0 10
 
12.5%

Length

2024-05-11T04:30:27.057818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:30:27.410104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 70
87.5%
0 10
 
12.5%

여성종사자수
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
70 
0
10 

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> 70
87.5%
0 10
 
12.5%

Length

2024-05-11T04:30:27.794756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:30:28.125956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 70
87.5%
0 10
 
12.5%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

급수시설구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
77 
상수도전용
 
3

Length

Max length5
Median length4
Mean length4.0375
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 77
96.2%
상수도전용 3
 
3.8%

Length

2024-05-11T04:30:28.403639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:30:28.697754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 77
96.2%
상수도전용 3
 
3.8%

총인원
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
70 
0
10 

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> 70
87.5%
0 10
 
12.5%

Length

2024-05-11T04:30:29.092253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:30:29.453772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 70
87.5%
0 10
 
12.5%

본사종업원수
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
0
47 
<NA>
33 

Length

Max length4
Median length1
Mean length2.2375
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 47
58.8%
<NA> 33
41.2%

Length

2024-05-11T04:30:29.977602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:30:30.542320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 47
58.8%
na 33
41.2%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
0
47 
<NA>
33 

Length

Max length4
Median length1
Mean length2.2375
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 47
58.8%
<NA> 33
41.2%

Length

2024-05-11T04:30:31.201571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:30:31.794351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 47
58.8%
na 33
41.2%

공장판매직종업원수
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
0
47 
<NA>
33 

Length

Max length4
Median length1
Mean length2.2375
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 47
58.8%
<NA> 33
41.2%

Length

2024-05-11T04:30:32.165184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:30:32.784277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 47
58.8%
na 33
41.2%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
0
47 
<NA>
33 

Length

Max length4
Median length1
Mean length2.2375
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 47
58.8%
<NA> 33
41.2%

Length

2024-05-11T04:30:33.166424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:30:33.508498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 47
58.8%
na 33
41.2%

건물소유구분명
Categorical

Distinct3
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
56 
자가
16 
임대
8 

Length

Max length4
Median length4
Mean length3.4
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> 56
70.0%
자가 16
 
20.0%
임대 8
 
10.0%

Length

2024-05-11T04:30:33.911740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:30:34.428819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
70.0%
자가 16
 
20.0%
임대 8
 
10.0%

보증액
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
70 
0
10 

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> 70
87.5%
0 10
 
12.5%

Length

2024-05-11T04:30:35.258038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:30:35.632154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 70
87.5%
0 10
 
12.5%

월세액
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
<NA>
70 
0
10 

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> 70
87.5%
0 10
 
12.5%

Length

2024-05-11T04:30:36.113307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:30:36.588678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 70
87.5%
0 10
 
12.5%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)1.5%
Missing12
Missing (%)15.0%
Memory size292.0 B
False
68 
(Missing)
12 
ValueCountFrequency (%)
False 68
85.0%
(Missing) 12
 
15.0%
2024-05-11T04:30:37.029019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)10.3%
Missing12
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean2.4676471
Minimum0
Maximum50
Zeros62
Zeros (%)77.5%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-05-11T04:30:37.434671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile21.375
Maximum50
Range50
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.8609733
Coefficient of variation (CV)3.5908593
Kurtosis15.876306
Mean2.4676471
Median Absolute Deviation (MAD)0
Skewness3.9408302
Sum167.8
Variance78.516848
MonotonicityNot monotonic
2024-05-11T04:30:37.949156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 62
77.5%
24.0 1
 
1.2%
50.0 1
 
1.2%
31.2 1
 
1.2%
11.0 1
 
1.2%
35.1 1
 
1.2%
16.5 1
 
1.2%
(Missing) 12
 
15.0%
ValueCountFrequency (%)
0.0 62
77.5%
11.0 1
 
1.2%
16.5 1
 
1.2%
24.0 1
 
1.2%
31.2 1
 
1.2%
35.1 1
 
1.2%
50.0 1
 
1.2%
ValueCountFrequency (%)
50.0 1
 
1.2%
35.1 1
 
1.2%
31.2 1
 
1.2%
24.0 1
 
1.2%
16.5 1
 
1.2%
11.0 1
 
1.2%
0.0 62
77.5%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing80
Missing (%)100.0%
Memory size852.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030300003030000-122-2008-0000120080319<NA>3폐업2폐업20110704<NA><NA><NA>00022295780938.33133050서울특별시 성동구 마장동 439-9 (지상2층)<NA><NA>크린씨푸드(clean sea food)2008-05-13 16:14:52I2018-08-31 23:59:59.0집단급식소 식품판매업203563.745184451999.051116집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N24.0<NA><NA><NA>
130300003030000-122-2008-0000220080513<NA>3폐업2폐업20161226<NA><NA><NA>022291591758.78133880서울특별시 성동구 홍익동 95 (지상1층)서울특별시 성동구 무학로12길 10 (홍익동,(지상1층))4706한양푸드LTD.2012-04-19 15:12:37I2018-08-31 23:59:59.0집단급식소 식품판매업202694.137905451640.843038집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
230300003030000-122-2008-0000320080609<NA>3폐업2폐업20110404<NA><NA><NA>00020465009073.10133822서울특별시 성동구 성수동1가 13-165 지상1층(상원1길 15 )<NA><NA>(주)경일물류2010-06-01 14:31:44I2018-08-31 23:59:59.0집단급식소 식품판매업204320.557565449449.259006집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N50.0<NA><NA><NA>
330300003030000-122-2008-0000420080623<NA>3폐업2폐업20100422<NA><NA><NA>02 2292076791.20133814서울특별시 성동구 마장동 506-9<NA><NA>굿모닝미트(주)2008-11-04 09:49:05I2018-08-31 23:59:59.0집단급식소 식품판매업203457.418096452024.541779집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N31.2<NA><NA><NA>
430300003030000-122-2008-0000520080703<NA>3폐업2폐업20120827<NA><NA><NA>022281599326.73133871서울특별시 성동구 행당동 19-49 지상1층(사근동길 379-1 )서울특별시 성동구 마조로 19-10 (행당동,지상1층(사근동길 379-1 ))4760푸드벤쳐(Food Venture)2012-08-20 11:28:10I2018-08-31 23:59:59.0집단급식소 식품판매업203506.404654450836.179446집단급식소 식품판매업<NA><NA><NA><NA>상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
530300003030000-122-2008-0000620080826<NA>1영업/정상1영업<NA><NA><NA><NA>02 463801157.00133832서울특별시 성동구 성수동2가 277-17 성수아카데미17층11-1호서울특별시 성동구 성수이로 118 (성수동2가,성수아카데미17층11-1호)4797한국엔테랄푸드(주)2013-01-24 09:41:55I2018-08-31 23:59:59.0집단급식소 식품판매업205039.907146449216.223655집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N11.0<NA><NA><NA>
630300003030000-122-2008-0000720080929<NA>1영업/정상1영업<NA><NA><NA><NA>02 2281038474.58133815서울특별시 성동구 마장동 767-34 지상1층서울특별시 성동구 마장로39나길 17-2, 지상1층 (마장동, 767-34)4756버들축산2013-01-29 18:14:41I2018-08-31 23:59:59.0집단급식소 식품판매업203875.92058451743.565433집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N35.1<NA><NA><NA>
730300003030000-122-2008-0000820081219<NA>3폐업2폐업20131230<NA><NA><NA>02 2298109791.00133815서울특별시 성동구 마장동 763-9 지상1층,2층서울특별시 성동구 마장로35나길 9-1 (마장동,지상1층,2층)4752(주)보림축산2012-03-06 14:18:19I2018-08-31 23:59:59.0집단급식소 식품판매업203504.849343451811.193393집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
830300003030000-122-2008-0000920080805<NA>1영업/정상1영업<NA><NA><NA><NA>02 4047066122.00133816서울특별시 성동구 마장동 791-1 열산빌딩 8층서울특별시 성동구 마장로 302, 8층 (마장동, 열산빌딩)4758참손푸드(주)2017-09-26 13:46:05I2018-08-31 23:59:59.0집단급식소 식품판매업203749.993733451516.501627집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000자가<NA><NA>N0.0<NA><NA><NA>
930300003030000-122-2008-0001020080620<NA>3폐업2폐업20180213<NA><NA><NA>02 578 006817.19133832서울특별시 성동구 성수동2가 280-5서울특별시 성동구 아차산로15길 44, 지상1층 (성수동2가)4799농업회사법인농협양곡 주식회사2018-02-13 16:33:50I2018-08-31 23:59:59.0집단급식소 식품판매업205583.478362449372.753037집단급식소 식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
7030300003030000-122-2020-0000120200324<NA>1영업/정상1영업<NA><NA><NA><NA>023397600032.40133835서울특별시 성동구 성수동2가 301-51 성수동BY센터서울특별시 성동구 성수일로 56, 4층 402호 (성수동2가)4782(주)신세계푸드2021-05-06 12:53:27U2021-05-08 02:40:00.0집단급식소 식품판매업204390.075781449237.445365집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
7130300003030000-122-2020-0000220201124<NA>1영업/정상1영업<NA><NA><NA><NA>026925051523.69133822서울특별시 성동구 성수동1가 8-26서울특별시 성동구 왕십리로4길 26-6, 1층 (성수동1가)4778주식회사 딜리버리랩2021-10-07 10:28:57U2021-10-09 02:40:00.0집단급식소 식품판매업204057.197349449405.280153집단급식소 식품판매업00<NA><NA><NA>00000<NA>00N0.0<NA><NA><NA>
7230300003030000-122-2020-0000320201202<NA>3폐업2폐업20220504<NA><NA><NA>02 4061676270.00133812서울특별시 성동구 마장동 470-1 희운빌딩서울특별시 성동구 청계천로10가길 102, 2층 (마장동)4704(주)태양미트고기선수촌2022-05-04 15:35:48U2021-12-05 00:07:00.0집단급식소 식품판매업203246.12334452138.171368<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7330300003030000-122-2021-0000120210608<NA>1영업/정상1영업<NA><NA><NA><NA><NA>6.60133834서울특별시 성동구 성수동2가 289-21 효정빌딩서울특별시 성동구 아차산로7길 15-1, 3층 3055호 (성수동2가)4793빅 애바다 유통2021-06-08 12:33:33I2021-06-10 00:22:55.0집단급식소 식품판매업204743.677915449357.946414집단급식소 식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
7430300003030000-122-2021-0000220211118<NA>1영업/정상1영업<NA><NA><NA><NA>02 3401022515.00133819서울특별시 성동구 성수동1가 22-8 헤이그라운드(HEYGROUND)서울특별시 성동구 뚝섬로1나길 5, 헤이그라운드(HEYGROUND) 6층 607호 (성수동1가)4779주식회사 드림원에프앤씨2021-11-18 10:50:16I2021-11-20 00:22:44.0집단급식소 식품판매업204151.656964449132.442019집단급식소 식품판매업00<NA><NA><NA>00000임대00N0.0<NA><NA><NA>
7530300003030000-122-2022-0000120220311<NA>1영업/정상1영업<NA><NA><NA><NA><NA>15.00133840서울특별시 성동구 옥수동 364-2서울특별시 성동구 한림말5길 15-1, 1층 (옥수동)4735옥수정육점2022-03-11 15:34:39I2022-03-13 00:22:53.0집단급식소 식품판매업201396.934308448928.103703집단급식소 식품판매업00<NA><NA><NA>00000임대00N0.0<NA><NA><NA>
7630300003030000-122-2022-0000220220613<NA>1영업/정상1영업<NA><NA><NA><NA><NA>266.00133812서울특별시 성동구 마장동 474-7 (주)삼흥축산물서울특별시 성동구 마장로29길 50 (주)삼흥축산물 지1층, 1층, 2층 (마장동)4704(주)공주식품2022-06-13 17:00:42I2021-12-05 23:06:00.0집단급식소 식품판매업203205.149139452013.085277<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7730300003030000-122-2022-0000320220831<NA>1영업/정상1영업<NA><NA><NA><NA><NA>22.00133816서울특별시 성동구 마장동 790-2서울특별시 성동구 마조로16길 23, 1층 103호 (마장동)4758이지에프에스2022-08-31 11:20:14I2021-12-09 00:03:00.0집단급식소 식품판매업203802.864724451428.613589<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7830300003030000-122-2023-000012023-07-18<NA>1영업/정상1영업<NA><NA><NA><NA>02 22816959168.23133-812서울특별시 성동구 마장동 459-2 한샘아이앤씨서울특별시 성동구 청계천로10다길 34-14, 한샘아이앤씨 1층, 지1층 (마장동)4704(주)한샘아이앤씨2023-07-18 12:07:16I2022-12-06 22:00:00.0집단급식소 식품판매업203043.862199451905.891243<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7930300003030000-122-2023-000022023-12-06<NA>1영업/정상1영업<NA><NA><NA><NA><NA>20.00133-865서울특별시 성동구 행당동 138-41서울특별시 성동구 고산자로8길 23-1, 1층 (행당동)4745동원이팜2023-12-06 15:00:57I2022-11-02 00:08:00.0집단급식소 식품판매업203158.646956450672.423416<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>