Overview

Dataset statistics

Number of variables44
Number of observations117
Missing cells1347
Missing cells (%)26.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory43.3 KiB
Average record size in memory379.1 B

Variable types

Categorical20
Text6
DateTime3
Unsupported10
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
Author도봉구
URLhttps://data.seoul.go.kr/dataList/OA-17986/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
여성종사자수 is highly imbalanced (57.8%)Imbalance
총인원 is highly imbalanced (87.5%)Imbalance
본사종업원수 is highly imbalanced (87.5%)Imbalance
공장사무직종업원수 is highly imbalanced (87.5%)Imbalance
공장판매직종업원수 is highly imbalanced (87.5%)Imbalance
공장생산직종업원수 is highly imbalanced (87.5%)Imbalance
보증액 is highly imbalanced (87.5%)Imbalance
월세액 is highly imbalanced (87.5%)Imbalance
인허가취소일자 has 117 (100.0%) missing valuesMissing
폐업일자 has 28 (23.9%) missing valuesMissing
휴업시작일자 has 117 (100.0%) missing valuesMissing
휴업종료일자 has 117 (100.0%) missing valuesMissing
재개업일자 has 117 (100.0%) missing valuesMissing
전화번호 has 21 (17.9%) missing valuesMissing
소재지면적 has 8 (6.8%) missing valuesMissing
도로명주소 has 44 (37.6%) missing valuesMissing
도로명우편번호 has 44 (37.6%) missing valuesMissing
좌표정보(X) has 3 (2.6%) missing valuesMissing
좌표정보(Y) has 3 (2.6%) missing valuesMissing
영업장주변구분명 has 117 (100.0%) missing valuesMissing
등급구분명 has 117 (100.0%) missing valuesMissing
건물소유구분명 has 117 (100.0%) missing valuesMissing
다중이용업소여부 has 13 (11.1%) missing valuesMissing
시설총규모 has 13 (11.1%) missing valuesMissing
전통업소지정번호 has 117 (100.0%) missing valuesMissing
전통업소주된음식 has 117 (100.0%) missing valuesMissing
홈페이지 has 117 (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
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
건물소유구분명 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 10 (8.5%) zerosZeros

Reproduction

Analysis started2024-05-11 07:00:16.079704
Analysis finished2024-05-11 07:00:17.002035
Duration0.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
3090000
117 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3090000
2nd row3090000
3rd row3090000
4th row3090000
5th row3090000

Common Values

ValueCountFrequency (%)
3090000 117
100.0%

Length

2024-05-11T16:00:17.094659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:00:17.240304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3090000 117
100.0%

관리번호
Text

UNIQUE 

Distinct117
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-05-11T16:00:17.491329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters2574
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

Unique117 ?
Unique (%)100.0%

Sample

1st row3090000-120-2003-00001
2nd row3090000-120-2003-00002
3rd row3090000-120-2003-00003
4th row3090000-120-2003-00004
5th row3090000-120-2003-00005
ValueCountFrequency (%)
3090000-120-2003-00001 1
 
0.9%
3090000-120-2011-00002 1
 
0.9%
3090000-120-2015-00003 1
 
0.9%
3090000-120-2015-00002 1
 
0.9%
3090000-120-2015-00001 1
 
0.9%
3090000-120-2014-00006 1
 
0.9%
3090000-120-2014-00005 1
 
0.9%
3090000-120-2014-00004 1
 
0.9%
3090000-120-2014-00003 1
 
0.9%
3090000-120-2014-00002 1
 
0.9%
Other values (107) 107
91.5%
2024-05-11T16:00:18.054125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1338
52.0%
- 351
 
13.6%
2 292
 
11.3%
1 206
 
8.0%
3 169
 
6.6%
9 129
 
5.0%
4 32
 
1.2%
5 21
 
0.8%
6 15
 
0.6%
7 12
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2223
86.4%
Dash Punctuation 351
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1338
60.2%
2 292
 
13.1%
1 206
 
9.3%
3 169
 
7.6%
9 129
 
5.8%
4 32
 
1.4%
5 21
 
0.9%
6 15
 
0.7%
7 12
 
0.5%
8 9
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
- 351
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2574
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1338
52.0%
- 351
 
13.6%
2 292
 
11.3%
1 206
 
8.0%
3 169
 
6.6%
9 129
 
5.0%
4 32
 
1.2%
5 21
 
0.8%
6 15
 
0.6%
7 12
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2574
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1338
52.0%
- 351
 
13.6%
2 292
 
11.3%
1 206
 
8.0%
3 169
 
6.6%
9 129
 
5.0%
4 32
 
1.2%
5 21
 
0.8%
6 15
 
0.6%
7 12
 
0.5%

인허가일자
Date

Distinct105
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2003-06-03 00:00:00
Maximum2024-05-02 00:00:00
2024-05-11T16:00:18.320632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:00:18.562841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing117
Missing (%)100.0%
Memory size1.2 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
3
89 
1
28 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 89
76.1%
1 28
 
23.9%

Length

2024-05-11T16:00:18.788195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:00:19.263089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 89
76.1%
1 28
 
23.9%

영업상태명
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
폐업
89 
영업/정상
28 

Length

Max length5
Median length2
Mean length2.7179487
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 89
76.1%
영업/정상 28
 
23.9%

Length

2024-05-11T16:00:19.423285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:00:19.575314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 89
76.1%
영업/정상 28
 
23.9%

상세영업상태코드
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2
89 
1
28 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row1
4th row1
5th row2

Common Values

ValueCountFrequency (%)
2 89
76.1%
1 28
 
23.9%

Length

2024-05-11T16:00:19.745873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:00:19.941741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 89
76.1%
1 28
 
23.9%

상세영업상태명
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
폐업
89 
영업
28 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 89
76.1%
영업 28
 
23.9%

Length

2024-05-11T16:00:20.167724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:00:20.342768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 89
76.1%
영업 28
 
23.9%

폐업일자
Date

MISSING 

Distinct83
Distinct (%)93.3%
Missing28
Missing (%)23.9%
Memory size1.0 KiB
Minimum2003-10-13 00:00:00
Maximum2024-05-02 00:00:00
2024-05-11T16:00:20.523194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:00:20.711021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing117
Missing (%)100.0%
Memory size1.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing117
Missing (%)100.0%
Memory size1.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing117
Missing (%)100.0%
Memory size1.2 KiB

전화번호
Text

MISSING 

Distinct92
Distinct (%)95.8%
Missing21
Missing (%)17.9%
Memory size1.0 KiB
2024-05-11T16:00:21.105079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.572917
Min length8

Characters and Unicode

Total characters1015
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

Unique88 ?
Unique (%)91.7%

Sample

1st row02 9031708
2nd row02 9951195
3rd row0234920152
4th row0222895095
5th row0234915045
ValueCountFrequency (%)
02 65
35.5%
031 2
 
1.1%
7691 2
 
1.1%
9944686 2
 
1.1%
33920455 2
 
1.1%
9992134 2
 
1.1%
954 2
 
1.1%
999 2
 
1.1%
995 2
 
1.1%
07078466983 1
 
0.5%
Other values (101) 101
55.2%
2024-05-11T16:00:21.728581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 167
16.5%
9 158
15.6%
2 141
13.9%
110
10.8%
4 77
7.6%
3 71
7.0%
5 64
 
6.3%
1 62
 
6.1%
8 57
 
5.6%
6 55
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 905
89.2%
Space Separator 110
 
10.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 167
18.5%
9 158
17.5%
2 141
15.6%
4 77
8.5%
3 71
7.8%
5 64
 
7.1%
1 62
 
6.9%
8 57
 
6.3%
6 55
 
6.1%
7 53
 
5.9%
Space Separator
ValueCountFrequency (%)
110
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1015
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 167
16.5%
9 158
15.6%
2 141
13.9%
110
10.8%
4 77
7.6%
3 71
7.0%
5 64
 
6.3%
1 62
 
6.1%
8 57
 
5.6%
6 55
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1015
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 167
16.5%
9 158
15.6%
2 141
13.9%
110
10.8%
4 77
7.6%
3 71
7.0%
5 64
 
6.3%
1 62
 
6.1%
8 57
 
5.6%
6 55
 
5.4%

소재지면적
Text

MISSING 

Distinct85
Distinct (%)78.0%
Missing8
Missing (%)6.8%
Memory size1.0 KiB
2024-05-11T16:00:22.169596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length5.8715596
Min length3

Characters and Unicode

Total characters640
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

Unique68 ?
Unique (%)62.4%

Sample

1st row192.30
2nd row840.00
3rd row198.00
4th row175.00
5th row141.00
ValueCountFrequency (%)
207.00 4
 
3.7%
195.75 4
 
3.7%
355.05 3
 
2.8%
109.20 3
 
2.8%
561.00 3
 
2.8%
1,271.00 2
 
1.8%
192.00 2
 
1.8%
138.00 2
 
1.8%
567.20 2
 
1.8%
00 2
 
1.8%
Other values (75) 82
75.2%
2024-05-11T16:00:22.767060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 157
24.5%
. 109
17.0%
1 69
10.8%
2 56
 
8.8%
5 49
 
7.7%
7 44
 
6.9%
9 43
 
6.7%
6 35
 
5.5%
3 30
 
4.7%
8 21
 
3.3%
Other values (2) 27
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 525
82.0%
Other Punctuation 115
 
18.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 157
29.9%
1 69
13.1%
2 56
 
10.7%
5 49
 
9.3%
7 44
 
8.4%
9 43
 
8.2%
6 35
 
6.7%
3 30
 
5.7%
8 21
 
4.0%
4 21
 
4.0%
Other Punctuation
ValueCountFrequency (%)
. 109
94.8%
, 6
 
5.2%

Most occurring scripts

ValueCountFrequency (%)
Common 640
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 157
24.5%
. 109
17.0%
1 69
10.8%
2 56
 
8.8%
5 49
 
7.7%
7 44
 
6.9%
9 43
 
6.7%
6 35
 
5.5%
3 30
 
4.7%
8 21
 
3.3%
Other values (2) 27
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 640
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 157
24.5%
. 109
17.0%
1 69
10.8%
2 56
 
8.8%
5 49
 
7.7%
7 44
 
6.9%
9 43
 
6.7%
6 35
 
5.5%
3 30
 
4.7%
8 21
 
3.3%
Other values (2) 27
 
4.2%

소재지우편번호
Categorical

Distinct45
Distinct (%)38.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
132854
14 
132010
8 
132898
8 
132884
 
7
132885
 
7
Other values (40)
73 

Length

Max length7
Median length6
Mean length6.0940171
Min length6

Unique

Unique20 ?
Unique (%)17.1%

Sample

1st row132862
2nd row132869
3rd row132-854
4th row132-801
5th row132854

Common Values

ValueCountFrequency (%)
132854 14
 
12.0%
132010 8
 
6.8%
132898 8
 
6.8%
132884 7
 
6.0%
132885 7
 
6.0%
132873 6
 
5.1%
132869 4
 
3.4%
132821 4
 
3.4%
132928 4
 
3.4%
132801 3
 
2.6%
Other values (35) 52
44.4%

Length

2024-05-11T16:00:22.967657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
132854 14
 
12.0%
132898 8
 
6.8%
132010 8
 
6.8%
132884 7
 
6.0%
132885 7
 
6.0%
132873 6
 
5.1%
132869 4
 
3.4%
132821 4
 
3.4%
132928 4
 
3.4%
132908 3
 
2.6%
Other values (35) 52
44.4%

지번주소
Text

Distinct105
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-05-11T16:00:23.277659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length36
Mean length28.974359
Min length17

Characters and Unicode

Total characters3390
Distinct characters157
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique94 ?
Unique (%)80.3%

Sample

1st row서울특별시 도봉구 쌍문동 68-2번지 (1층,2층 일부)백운중학교 내 급식소
2nd row서울특별시 도봉구 쌍문동 150-1번지 (1,2층) 정의여고 내 급식소
3rd row서울특별시 도봉구 방학동 708-2 현대자동차북부서비스센타 사무동 5층 급식소 내
4th row서울특별시 도봉구 도봉동 78-12 지하1층 급식소 내
5th row서울특별시 도봉구 방학동 722번지 창동중학교 1층 급식실
ValueCountFrequency (%)
서울특별시 117
18.2%
도봉구 117
18.2%
쌍문동 38
 
5.9%
창동 31
 
4.8%
도봉동 25
 
3.9%
방학동 23
 
3.6%
지하1층 15
 
2.3%
급식실 12
 
1.9%
1층 10
 
1.6%
419번지 8
 
1.2%
Other values (154) 247
38.4%
2024-05-11T16:00:23.819614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
630
 
18.6%
봉 159
 
4.7%
도 159
 
4.7%
서 132
 
3.9%
울 130
 
3.8%
동 125
 
3.7%
구 123
 
3.6%
지 120
 
3.5%
시 117
 
3.5%
별 117
 
3.5%
Other values (147) 1578
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2174
64.1%
Space Separator 630
 
18.6%
Decimal Number 467
 
13.8%
Dash Punctuation 64
 
1.9%
Open Punctuation 22
 
0.6%
Close Punctuation 22
 
0.6%
Uppercase Letter 6
 
0.2%
Other Punctuation 3
 
0.1%
Other Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
봉 159
 
7.3%
도 159
 
7.3%
서 132
 
6.1%
울 130
 
6.0%
동 125
 
5.7%
구 123
 
5.7%
지 120
 
5.5%
시 117
 
5.4%
별 117
 
5.4%
특 117
 
5.4%
Other values (126) 875
40.2%
Decimal Number
ValueCountFrequency (%)
1 98
21.0%
2 59
12.6%
6 57
12.2%
3 55
11.8%
7 43
9.2%
8 40
8.6%
0 38
 
8.1%
4 36
 
7.7%
5 27
 
5.8%
9 14
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
A 2
33.3%
R 1
16.7%
T 1
16.7%
M 1
16.7%
E 1
16.7%
Space Separator
ValueCountFrequency (%)
630
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2176
64.2%
Common 1208
35.6%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
봉 159
 
7.3%
도 159
 
7.3%
서 132
 
6.1%
울 130
 
6.0%
동 125
 
5.7%
구 123
 
5.7%
지 120
 
5.5%
시 117
 
5.4%
별 117
 
5.4%
특 117
 
5.4%
Other values (127) 877
40.3%
Common
ValueCountFrequency (%)
630
52.2%
1 98
 
8.1%
- 64
 
5.3%
2 59
 
4.9%
6 57
 
4.7%
3 55
 
4.6%
7 43
 
3.6%
8 40
 
3.3%
0 38
 
3.1%
4 36
 
3.0%
Other values (5) 88
 
7.3%
Latin
ValueCountFrequency (%)
A 2
33.3%
R 1
16.7%
T 1
16.7%
M 1
16.7%
E 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2174
64.1%
ASCII 1214
35.8%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
630
51.9%
1 98
 
8.1%
- 64
 
5.3%
2 59
 
4.9%
6 57
 
4.7%
3 55
 
4.5%
7 43
 
3.5%
8 40
 
3.3%
0 38
 
3.1%
4 36
 
3.0%
Other values (10) 94
 
7.7%
Hangul
ValueCountFrequency (%)
봉 159
 
7.3%
도 159
 
7.3%
서 132
 
6.1%
울 130
 
6.0%
동 125
 
5.7%
구 123
 
5.7%
지 120
 
5.5%
시 117
 
5.4%
별 117
 
5.4%
특 117
 
5.4%
Other values (126) 875
40.2%
None
ValueCountFrequency (%)
㈜ 2
100.0%

도로명주소
Text

MISSING 

Distinct65
Distinct (%)89.0%
Missing44
Missing (%)37.6%
Memory size1.0 KiB
2024-05-11T16:00:24.188197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length40
Mean length33.109589
Min length22

Characters and Unicode

Total characters2417
Distinct characters138
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)79.5%

Sample

1st row서울특별시 도봉구 방학로 76 (방학동,현대자동차북부서비스센타 사무동 5층 급식소 내)
2nd row서울특별시 도봉구 도봉로180나길 48 (도봉동,지하1층 급식소 내)
3rd row서울특별시 도봉구 노해로65길 4 (창동,신세계이마트 3층급식실)
4th row서울특별시 도봉구 시루봉로 188 (방학동,방학중학교 집단급식소 내(1층))
5th row서울특별시 도봉구 마들로 645 (방학동,롯데마트 도봉지점내 직원식당)
ValueCountFrequency (%)
서울특별시 73
 
15.9%
도봉구 73
 
15.9%
창동 19
 
4.1%
마들로 15
 
3.3%
쌍문동 15
 
3.3%
도봉동 14
 
3.0%
150 13
 
2.8%
지하1층 11
 
2.4%
방학동 10
 
2.2%
노해로69길 9
 
2.0%
Other values (113) 208
45.2%
2024-05-11T16:00:24.885935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
387
 
16.0%
봉 125
 
5.2%
도 122
 
5.0%
서 83
 
3.4%
울 81
 
3.4%
동 80
 
3.3%
구 78
 
3.2%
) 76
 
3.1%
( 76
 
3.1%
시 76
 
3.1%
Other values (128) 1233
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1496
61.9%
Space Separator 387
 
16.0%
Decimal Number 301
 
12.5%
Close Punctuation 76
 
3.1%
Open Punctuation 76
 
3.1%
Other Punctuation 67
 
2.8%
Dash Punctuation 6
 
0.2%
Uppercase Letter 6
 
0.2%
Other Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
봉 125
 
8.4%
도 122
 
8.2%
서 83
 
5.5%
울 81
 
5.4%
동 80
 
5.3%
구 78
 
5.2%
시 76
 
5.1%
별 73
 
4.9%
특 73
 
4.9%
로 67
 
4.5%
Other values (107) 638
42.6%
Decimal Number
ValueCountFrequency (%)
1 63
20.9%
6 45
15.0%
4 38
12.6%
5 30
10.0%
3 26
8.6%
8 26
8.6%
9 22
 
7.3%
0 21
 
7.0%
7 15
 
5.0%
2 15
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
A 2
33.3%
E 1
16.7%
M 1
16.7%
R 1
16.7%
T 1
16.7%
Space Separator
ValueCountFrequency (%)
387
100.0%
Close Punctuation
ValueCountFrequency (%)
) 76
100.0%
Open Punctuation
ValueCountFrequency (%)
( 76
100.0%
Other Punctuation
ValueCountFrequency (%)
, 67
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1498
62.0%
Common 913
37.8%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
봉 125
 
8.3%
도 122
 
8.1%
서 83
 
5.5%
울 81
 
5.4%
동 80
 
5.3%
구 78
 
5.2%
시 76
 
5.1%
별 73
 
4.9%
특 73
 
4.9%
로 67
 
4.5%
Other values (108) 640
42.7%
Common
ValueCountFrequency (%)
387
42.4%
) 76
 
8.3%
( 76
 
8.3%
, 67
 
7.3%
1 63
 
6.9%
6 45
 
4.9%
4 38
 
4.2%
5 30
 
3.3%
3 26
 
2.8%
8 26
 
2.8%
Other values (5) 79
 
8.7%
Latin
ValueCountFrequency (%)
A 2
33.3%
E 1
16.7%
M 1
16.7%
R 1
16.7%
T 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1496
61.9%
ASCII 919
38.0%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
387
42.1%
) 76
 
8.3%
( 76
 
8.3%
, 67
 
7.3%
1 63
 
6.9%
6 45
 
4.9%
4 38
 
4.1%
5 30
 
3.3%
3 26
 
2.8%
8 26
 
2.8%
Other values (10) 85
 
9.2%
Hangul
ValueCountFrequency (%)
봉 125
 
8.4%
도 122
 
8.2%
서 83
 
5.5%
울 81
 
5.4%
동 80
 
5.3%
구 78
 
5.2%
시 76
 
5.1%
별 73
 
4.9%
특 73
 
4.9%
로 67
 
4.5%
Other values (107) 638
42.6%
None
ValueCountFrequency (%)
㈜ 2
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)41.1%
Missing44
Missing (%)37.6%
Infinite0
Infinite (%)0.0%
Mean1380.1781
Minimum1300
Maximum1489
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T16:00:25.056388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1300
5-th percentile1300
Q11331
median1384
Q31415
95-th percentile1461
Maximum1489
Range189
Interquartile range (IQR)84

Descriptive statistics

Standard deviation56.770088
Coefficient of variation (CV)0.041132437
Kurtosis-1.2457851
Mean1380.1781
Median Absolute Deviation (MAD)52
Skewness0.17139262
Sum100753
Variance3222.8428
MonotonicityNot monotonic
2024-05-11T16:00:25.235981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1450 10
 
8.5%
1412 8
 
6.8%
1300 6
 
5.1%
1334 5
 
4.3%
1318 4
 
3.4%
1322 4
 
3.4%
1332 3
 
2.6%
1489 3
 
2.6%
1405 3
 
2.6%
1338 2
 
1.7%
Other values (20) 25
21.4%
(Missing) 44
37.6%
ValueCountFrequency (%)
1300 6
5.1%
1301 1
 
0.9%
1307 1
 
0.9%
1318 4
3.4%
1319 1
 
0.9%
1322 4
3.4%
1331 2
 
1.7%
1332 3
2.6%
1334 5
4.3%
1338 2
 
1.7%
ValueCountFrequency (%)
1489 3
 
2.6%
1464 1
 
0.9%
1459 1
 
0.9%
1453 1
 
0.9%
1450 10
8.5%
1438 1
 
0.9%
1428 1
 
0.9%
1415 1
 
0.9%
1412 8
6.8%
1405 3
 
2.6%

사업장명
Text

Distinct113
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-05-11T16:00:25.546736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length18
Mean length14.017094
Min length4

Characters and Unicode

Total characters1640
Distinct characters208
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

Unique110 ?
Unique (%)94.0%

Sample

1st row(주)나래캐터링(백운중학교)
2nd row정의캐터링(정의여자고등학교)
3rd row(주)현대그린푸드 현대자동차 북부하이테크센타점
4th row(주)현대그린푸드 기아자동차도봉사업소지점
5th row(주)엘에스씨푸드 창동중지점(창동중학교)
ValueCountFrequency (%)
주)엘에스씨푸드 6
 
3.8%
주)정오아카데미 4
 
2.5%
주)신세계푸드 3
 
1.9%
도봉숲속마을 3
 
1.9%
주)아워홈 3
 
1.9%
정수산업 2
 
1.3%
한일병원점 2
 
1.3%
참푸드시스템 2
 
1.3%
주)델리후레쉬 2
 
1.3%
자운고등학교 2
 
1.3%
Other values (127) 130
81.8%
2024-05-11T16:00:26.092302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 107
 
6.5%
) 107
 
6.5%
주 88
 
5.4%
점 49
 
3.0%
드 45
 
2.7%
42
 
2.6%
학 41
 
2.5%
푸 39
 
2.4%
교 39
 
2.4%
고 37
 
2.3%
Other values (198) 1046
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1358
82.8%
Open Punctuation 107
 
6.5%
Close Punctuation 107
 
6.5%
Space Separator 42
 
2.6%
Uppercase Letter 14
 
0.9%
Dash Punctuation 6
 
0.4%
Lowercase Letter 3
 
0.2%
Math Symbol 2
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 88
 
6.5%
점 49
 
3.6%
드 45
 
3.3%
학 41
 
3.0%
푸 39
 
2.9%
교 39
 
2.9%
고 37
 
2.7%
스 36
 
2.7%
에 28
 
2.1%
원 25
 
1.8%
Other values (178) 931
68.6%
Uppercase Letter
ValueCountFrequency (%)
O 2
14.3%
F 2
14.3%
J 2
14.3%
C 2
14.3%
I 1
7.1%
L 1
7.1%
G 1
7.1%
E 1
7.1%
D 1
7.1%
S 1
7.1%
Lowercase Letter
ValueCountFrequency (%)
i 1
33.3%
v 1
33.3%
p 1
33.3%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
< 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 107
100.0%
Close Punctuation
ValueCountFrequency (%)
) 107
100.0%
Space Separator
ValueCountFrequency (%)
42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1358
82.8%
Common 265
 
16.2%
Latin 17
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 88
 
6.5%
점 49
 
3.6%
드 45
 
3.3%
학 41
 
3.0%
푸 39
 
2.9%
교 39
 
2.9%
고 37
 
2.7%
스 36
 
2.7%
에 28
 
2.1%
원 25
 
1.8%
Other values (178) 931
68.6%
Latin
ValueCountFrequency (%)
O 2
11.8%
F 2
11.8%
J 2
11.8%
C 2
11.8%
i 1
 
5.9%
I 1
 
5.9%
L 1
 
5.9%
G 1
 
5.9%
E 1
 
5.9%
v 1
 
5.9%
Other values (3) 3
17.6%
Common
ValueCountFrequency (%)
( 107
40.4%
) 107
40.4%
42
 
15.8%
- 6
 
2.3%
> 1
 
0.4%
< 1
 
0.4%
& 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1358
82.8%
ASCII 282
 
17.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 107
37.9%
) 107
37.9%
42
 
14.9%
- 6
 
2.1%
O 2
 
0.7%
F 2
 
0.7%
J 2
 
0.7%
C 2
 
0.7%
i 1
 
0.4%
I 1
 
0.4%
Other values (10) 10
 
3.5%
Hangul
ValueCountFrequency (%)
주 88
 
6.5%
점 49
 
3.6%
드 45
 
3.3%
학 41
 
3.0%
푸 39
 
2.9%
교 39
 
2.9%
고 37
 
2.7%
스 36
 
2.7%
에 28
 
2.1%
원 25
 
1.8%
Other values (178) 931
68.6%

최종수정일자
Date

Distinct115
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2003-07-01 00:00:00
Maximum2024-05-02 16:23:06
2024-05-11T16:00:26.294135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:00:26.484090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
I
81 
U
36 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 81
69.2%
U 36
30.8%

Length

2024-05-11T16:00:26.689937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:00:26.864073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 81
69.2%
u 36
30.8%

데이터갱신일자
Categorical

Distinct39
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2018-08-31 23:59:59.0
74 
2023-12-03 00:01:00.0
 
3
2022-12-02 23:06:00.0
 
2
2023-12-05 00:04:00.0
 
2
2019-09-01 02:40:00.0
 
2
Other values (34)
34 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique34 ?
Unique (%)29.1%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2022-12-02 23:06:00.0
4th row2022-12-02 23:06:00.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 74
63.2%
2023-12-03 00:01:00.0 3
 
2.6%
2022-12-02 23:06:00.0 2
 
1.7%
2023-12-05 00:04:00.0 2
 
1.7%
2019-09-01 02:40:00.0 2
 
1.7%
2020-09-10 02:40:00.0 1
 
0.9%
2019-07-03 02:40:00.0 1
 
0.9%
2021-01-23 02:40:00.0 1
 
0.9%
2021-02-27 02:40:00.0 1
 
0.9%
2020-01-02 02:40:00.0 1
 
0.9%
Other values (29) 29
 
24.8%

Length

2024-05-11T16:00:27.053111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59:59.0 75
32.1%
2018-08-31 74
31.6%
02:40:00.0 26
 
11.1%
2023-12-03 6
 
2.6%
00:01:00.0 3
 
1.3%
2022-12-02 2
 
0.9%
23:06:00.0 2
 
0.9%
2023-12-05 2
 
0.9%
00:04:00.0 2
 
0.9%
2019-09-01 2
 
0.9%
Other values (40) 40
17.1%

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
위탁급식영업
117 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위탁급식영업 117
100.0%

Length

2024-05-11T16:00:27.238612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:00:27.372768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁급식영업 117
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)48.2%
Missing3
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean203340.35
Minimum201393.04
Maximum204638.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T16:00:27.559325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201393.04
5-th percentile201393.04
Q1202482.72
median203620.38
Q3204084.98
95-th percentile204414.18
Maximum204638.4
Range3245.3583
Interquartile range (IQR)1602.2537

Descriptive statistics

Standard deviation928.16282
Coefficient of variation (CV)0.0045645776
Kurtosis-0.66104637
Mean203340.35
Median Absolute Deviation (MAD)692.15149
Skewness-0.64132093
Sum23180800
Variance861486.21
MonotonicityNot monotonic
2024-05-11T16:00:27.743817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201393.038238284 8
 
6.8%
204388.488423515 7
 
6.0%
202466.119176743 7
 
6.0%
202325.035151257 6
 
5.1%
202339.332805746 5
 
4.3%
204381.790729304 4
 
3.4%
202736.590095051 4
 
3.4%
203790.013568785 4
 
3.4%
204518.674819261 4
 
3.4%
203331.726496514 4
 
3.4%
Other values (45) 61
52.1%
ValueCountFrequency (%)
201393.038238284 8
6.8%
201547.118215494 2
 
1.7%
201841.254184885 1
 
0.9%
202325.035151257 6
5.1%
202339.332805746 5
4.3%
202466.119176743 7
6.0%
202532.531542415 1
 
0.9%
202730.691589147 1
 
0.9%
202736.590095051 4
3.4%
202794.358626436 1
 
0.9%
ValueCountFrequency (%)
204638.396518808 1
 
0.9%
204518.674819261 4
3.4%
204461.889893593 1
 
0.9%
204388.488423515 7
6.0%
204381.790729304 4
3.4%
204357.218613968 1
 
0.9%
204258.724048127 1
 
0.9%
204233.362455938 1
 
0.9%
204199.156989282 3
2.6%
204177.344298394 1
 
0.9%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)48.2%
Missing3
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean462105.47
Minimum460018.06
Maximum465298.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T16:00:27.989173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum460018.06
5-th percentile460385.35
Q1460991.43
median461839.53
Q3462844.39
95-th percentile465002.24
Maximum465298.5
Range5280.4368
Interquartile range (IQR)1852.9522

Descriptive statistics

Standard deviation1485.8211
Coefficient of variation (CV)0.0032153289
Kurtosis-0.61251653
Mean462105.47
Median Absolute Deviation (MAD)880.79893
Skewness0.75174899
Sum52680024
Variance2207664.2
MonotonicityNot monotonic
2024-05-11T16:00:28.211656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
460991.434614302 8
 
6.8%
461849.675647332 7
 
6.0%
460394.329853007 7
 
6.0%
461479.391339929 6
 
5.1%
460610.308236962 5
 
4.3%
464759.222338496 4
 
3.4%
461177.3723973 4
 
3.4%
462495.417040876 4
 
3.4%
460334.454459245 4
 
3.4%
465026.559768614 4
 
3.4%
Other values (45) 61
52.1%
ValueCountFrequency (%)
460018.062805147 1
 
0.9%
460334.454459245 4
3.4%
460368.674382853 1
 
0.9%
460394.329853007 7
6.0%
460610.308236962 5
4.3%
460649.347064114 1
 
0.9%
460699.763939414 1
 
0.9%
460774.751950457 2
 
1.7%
460777.488351471 1
 
0.9%
460839.253267563 1
 
0.9%
ValueCountFrequency (%)
465298.499557365 1
 
0.9%
465026.559768614 4
3.4%
465002.243917998 2
1.7%
464974.690359909 1
 
0.9%
464915.302353733 1
 
0.9%
464759.222338496 4
3.4%
464563.45559045 1
 
0.9%
464552.486156478 3
2.6%
464312.593764643 1
 
0.9%
463886.851902677 2
1.7%

위생업태명
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
위탁급식영업
104 
<NA>
13 

Length

Max length6
Median length6
Mean length5.7777778
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위탁급식영업 104
88.9%
<NA> 13
 
11.1%

Length

2024-05-11T16:00:28.440971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:00:28.600859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁급식영업 104
88.9%
na 13
 
11.1%

남성종사자수
Categorical

Distinct3
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
83 
0
33 
1
 
1

Length

Max length4
Median length4
Mean length3.1282051
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 83
70.9%
0 33
 
28.2%
1 1
 
0.9%

Length

2024-05-11T16:00:28.750056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:00:28.918407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 83
70.9%
0 33
 
28.2%
1 1
 
0.9%

여성종사자수
Categorical

IMBALANCE 

Distinct6
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
83 
0
30 
2
 
1
14
 
1
12
 
1

Length

Max length4
Median length4
Mean length3.1452991
Min length1

Unique

Unique4 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 83
70.9%
0 30
 
25.6%
2 1
 
0.9%
14 1
 
0.9%
12 1
 
0.9%
4 1
 
0.9%

Length

2024-05-11T16:00:29.134428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:00:29.384121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 83
70.9%
0 30
 
25.6%
2 1
 
0.9%
14 1
 
0.9%
12 1
 
0.9%
4 1
 
0.9%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing117
Missing (%)100.0%
Memory size1.2 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing117
Missing (%)100.0%
Memory size1.2 KiB

급수시설구분명
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
64 
상수도전용
53 

Length

Max length5
Median length4
Mean length4.4529915
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 64
54.7%
상수도전용 53
45.3%

Length

2024-05-11T16:00:29.569232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:00:29.724665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 64
54.7%
상수도전용 53
45.3%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
115 
0
 
2

Length

Max length4
Median length4
Mean length3.9487179
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> 115
98.3%
0 2
 
1.7%

Length

2024-05-11T16:00:29.887653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:00:30.031187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 115
98.3%
0 2
 
1.7%

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
115 
0
 
2

Length

Max length4
Median length4
Mean length3.9487179
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> 115
98.3%
0 2
 
1.7%

Length

2024-05-11T16:00:30.179928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:00:30.349311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 115
98.3%
0 2
 
1.7%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
115 
0
 
2

Length

Max length4
Median length4
Mean length3.9487179
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> 115
98.3%
0 2
 
1.7%

Length

2024-05-11T16:00:30.504653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:00:30.650779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 115
98.3%
0 2
 
1.7%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
115 
0
 
2

Length

Max length4
Median length4
Mean length3.9487179
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> 115
98.3%
0 2
 
1.7%

Length

2024-05-11T16:00:31.147013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:00:31.301897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 115
98.3%
0 2
 
1.7%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
115 
0
 
2

Length

Max length4
Median length4
Mean length3.9487179
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> 115
98.3%
0 2
 
1.7%

Length

2024-05-11T16:00:31.491395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:00:31.706316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 115
98.3%
0 2
 
1.7%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing117
Missing (%)100.0%
Memory size1.2 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
115 
0
 
2

Length

Max length4
Median length4
Mean length3.9487179
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> 115
98.3%
0 2
 
1.7%

Length

2024-05-11T16:00:31.889032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:00:32.038987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 115
98.3%
0 2
 
1.7%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
115 
0
 
2

Length

Max length4
Median length4
Mean length3.9487179
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> 115
98.3%
0 2
 
1.7%

Length

2024-05-11T16:00:32.188459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:00:32.351419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 115
98.3%
0 2
 
1.7%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)1.0%
Missing13
Missing (%)11.1%
Memory size366.0 B
False
104 
(Missing)
13 
ValueCountFrequency (%)
False 104
88.9%
(Missing) 13
 
11.1%
2024-05-11T16:00:32.475745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct77
Distinct (%)74.0%
Missing13
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean292.1574
Minimum0
Maximum1502.97
Zeros10
Zeros (%)8.5%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T16:00:32.660054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q191.0725
median178.6
Q3332.4475
95-th percentile1166.9105
Maximum1502.97
Range1502.97
Interquartile range (IQR)241.375

Descriptive statistics

Standard deviation336.29636
Coefficient of variation (CV)1.1510794
Kurtosis2.8121953
Mean292.1574
Median Absolute Deviation (MAD)121.46
Skewness1.7963429
Sum30384.37
Variance113095.24
MonotonicityNot monotonic
2024-05-11T16:00:32.880740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 10
 
8.5%
207.0 4
 
3.4%
561.0 3
 
2.6%
109.2 3
 
2.6%
192.0 2
 
1.7%
195.75 2
 
1.7%
647.9 2
 
1.7%
138.0 2
 
1.7%
267.19 2
 
1.7%
682.7 2
 
1.7%
Other values (67) 72
61.5%
(Missing) 13
 
11.1%
ValueCountFrequency (%)
0.0 10
8.5%
9.7 1
 
0.9%
11.2 1
 
0.9%
11.24 1
 
0.9%
17.34 1
 
0.9%
18.22 1
 
0.9%
19.75 1
 
0.9%
22.0 1
 
0.9%
25.7 1
 
0.9%
30.0 1
 
0.9%
ValueCountFrequency (%)
1502.97 1
0.9%
1272.6 1
0.9%
1271.0 2
1.7%
1270.0 1
0.9%
1198.13 1
0.9%
990.0 1
0.9%
897.0 1
0.9%
840.0 1
0.9%
765.0 1
0.9%
688.1 1
0.9%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing117
Missing (%)100.0%
Memory size1.2 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing117
Missing (%)100.0%
Memory size1.2 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing117
Missing (%)100.0%
Memory size1.2 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030900003090000-120-2003-0000120030603<NA>3폐업2폐업20100504<NA><NA><NA>02 9031708192.30132862서울특별시 도봉구 쌍문동 68-2번지 (1층,2층 일부)백운중학교 내 급식소<NA><NA>(주)나래캐터링(백운중학교)2009-06-24 14:30:18I2018-08-31 23:59:59.0위탁급식영업203103.075077461517.512084위탁급식영업00<NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N192.3<NA><NA><NA>
130900003090000-120-2003-0000220030604<NA>3폐업2폐업20100216<NA><NA><NA>02 9951195840.00132869서울특별시 도봉구 쌍문동 150-1번지 (1,2층) 정의여고 내 급식소<NA><NA>정의캐터링(정의여자고등학교)2009-06-24 14:30:39I2018-08-31 23:59:59.0위탁급식영업202736.590095461177.372397위탁급식영업00<NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N840.0<NA><NA><NA>
230900003090000-120-2003-000032003-06-07<NA>1영업/정상1영업<NA><NA><NA><NA>0234920152198.00132-854서울특별시 도봉구 방학동 708-2 현대자동차북부서비스센타 사무동 5층 급식소 내서울특별시 도봉구 방학로 76 (방학동,현대자동차북부서비스센타 사무동 5층 급식소 내)1334(주)현대그린푸드 현대자동차 북부하이테크센타점2023-03-14 14:54:59U2022-12-02 23:06:00.0위탁급식영업203811.915589462324.398951<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
330900003090000-120-2003-000042003-06-18<NA>1영업/정상1영업<NA><NA><NA><NA>0222895095175.00132-801서울특별시 도봉구 도봉동 78-12 지하1층 급식소 내서울특별시 도봉구 도봉로180나길 48 (도봉동,지하1층 급식소 내)1319(주)현대그린푸드 기아자동차도봉사업소지점2023-03-14 15:13:10U2022-12-02 23:06:00.0위탁급식영업204357.218614464563.45559<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
430900003090000-120-2003-0000520030626<NA>3폐업2폐업20100504<NA><NA><NA>0234915045141.00132854서울특별시 도봉구 방학동 722번지 창동중학교 1층 급식실<NA><NA>(주)엘에스씨푸드 창동중지점(창동중학교)2009-06-24 14:00:36I2018-08-31 23:59:59.0위탁급식영업204233.362456462409.829241위탁급식영업00<NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N141.0<NA><NA><NA>
530900003090000-120-2003-0000620030626<NA>3폐업2폐업20070615<NA><NA><NA>02 9910026165.00132925서울특별시 도봉구 창동 683-27번지 창북중학교 1층 급식실<NA><NA>(주)엘에스씨2005-05-03 00:00:00I2018-08-31 23:59:59.0위탁급식영업<NA><NA>위탁급식영업00<NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N165.0<NA><NA><NA>
630900003090000-120-2003-0000720030626<NA>3폐업2폐업20100504<NA><NA><NA>0234930457132.00132816서울특별시 도봉구 도봉동 585번지 북서울중학교 1층 급식실<NA><NA>(주)엘에스씨푸드-북서울중지점(북서울중학교)2009-06-24 13:57:26I2018-08-31 23:59:59.0위탁급식영업203720.104911464312.593765위탁급식영업00<NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N132.0<NA><NA><NA>
730900003090000-120-2003-0000820030628<NA>3폐업2폐업20180104<NA><NA><NA>02 9011195140.00132904서울특별시 도봉구 창동 135-26번지 신세계이마트 3층급식실서울특별시 도봉구 노해로65길 4 (창동,신세계이마트 3층급식실)1405(주)신세계푸드이마트창동점2018-01-04 17:40:22I2018-08-31 23:59:59.0위탁급식영업204107.090272461072.642449위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N140.0<NA><NA><NA>
830900003090000-120-2003-0000920030628<NA>3폐업2폐업20120302<NA><NA><NA>02 9944686<NA>132901서울특별시 도봉구 창동 35번지 서울외국어고등학교내 급식실(지하1)<NA><NA>한신후드서비스(서울외국어고등학교)2010-11-23 10:27:54I2018-08-31 23:59:59.0위탁급식영업204518.674819460334.454459위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
930900003090000-120-2003-0001020030701<NA>3폐업2폐업20031013<NA><NA><NA>02 90267741,270.00132714서울특별시 도봉구 쌍문동 419번지 덕성여자대학교 2층 급식실<NA><NA>동전개발(주)덕성여대2003-07-01 00:00:00I2018-08-31 23:59:59.0위탁급식영업201393.038238460991.434614위탁급식영업00<NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N1270.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
10730900003090000-120-2021-000012021-02-26<NA>3폐업2폐업2024-02-28<NA><NA><NA>07076023494180.84132-901서울특별시 도봉구 창동 35 서울외국어고등학교서울특별시 도봉구 덕릉로66길 22, 서울외국어고등학교 급식실 (창동)1489참푸드시스템서울외국어고등학교점2024-02-28 18:10:18U2023-12-03 00:01:00.0위탁급식영업204518.674819460334.454459<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
10830900003090000-120-2021-0000220210226<NA>3폐업2폐업20220221<NA><NA><NA>07049389301207.00132898서울특별시 도봉구 창동 1 자운고등학교서울특별시 도봉구 노해로69길 150, 자운고등학교 급식실 (창동)1412참푸드시스템자운고점2022-02-22 11:20:02U2022-02-24 02:40:00.0위탁급식영업204388.488424461849.675647위탁급식영업00<NA><NA><NA>00000<NA>00N207.0<NA><NA><NA>
10930900003090000-120-2021-000032021-03-02<NA>3폐업2폐업2024-02-28<NA><NA><NA><NA>195.75132-010서울특별시 도봉구 도봉동 646 누원고등학교서울특별시 도봉구 마들로 849, 누원고등학교 급식실 (도봉동)1318(주)엘에스씨푸드 누원고2024-02-28 11:14:30U2023-12-03 00:01:00.0위탁급식영업204381.790729464759.222338<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11030900003090000-120-2021-0000420210406<NA>3폐업2폐업20220401<NA><NA><NA>031 414 9588355.05132719서울특별시 도봉구 쌍문동 380-28 서울도봉우체국 3층서울특별시 도봉구 노해로 150, 서울도봉우체국 3층 (쌍문동)1450서울도봉우체국구내식당2022-04-01 15:40:59U2021-12-04 00:03:00.0위탁급식영업202339.332806460610.308237<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11130900003090000-120-2022-0000120220304<NA>1영업/정상1영업<NA><NA><NA><NA>02 33920455207.00132898서울특별시 도봉구 창동 1 자운고등학교서울특별시 도봉구 노해로69길 150, 자운고등학교 (창동)1412자운고등학교2022-03-04 11:47:21I2022-03-10 13:22:36.0위탁급식영업<NA><NA>위탁급식영업00<NA><NA><NA>00000<NA>00N207.0<NA><NA><NA>
11230900003090000-120-2022-000022022-04-01<NA>3폐업2폐업2024-04-12<NA><NA><NA><NA>355.05132-719서울특별시 도봉구 쌍문동 380-28 서울도봉우체국서울특별시 도봉구 노해로 150, 도봉우체국 구내식당 3층 (쌍문동)1450삼주외식산업(주)도봉우체국2024-04-12 14:25:48U2023-12-03 23:04:00.0위탁급식영업202339.332806460610.308237<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11330900003090000-120-2024-000012024-02-28<NA>1영업/정상1영업<NA><NA><NA><NA><NA>195.75132-010서울특별시 도봉구 도봉동 646 누원고등학교서울특별시 도봉구 마들로 849, 누원고등학교 급식실 (도봉동)1318누원고등학교<급식실>2024-02-28 15:29:47I2023-12-03 00:01:00.0위탁급식영업204381.790729464759.222338<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11430900003090000-120-2024-000022024-03-04<NA>1영업/정상1영업<NA><NA><NA><NA><NA>752.67132-901서울특별시 도봉구 창동 35 서울외국어고등학교서울특별시 도봉구 덕릉로66길 22, 서울외국어고등학교 (창동)1489(주)정오아카데미 서울외국어고등학교점2024-03-04 15:12:41I2023-12-03 00:06:00.0위탁급식영업204518.674819460334.454459<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11530900003090000-120-2024-000032024-04-18<NA>1영업/정상1영업<NA><NA><NA><NA><NA>355.05132-719서울특별시 도봉구 쌍문동 380-28 서울도봉우체국 3층 구내식당서울특별시 도봉구 노해로 150, 서울도봉우체국 구내식당 3층 (쌍문동)1450(주)대흥푸드 도봉우체국2024-04-18 13:41:02I2023-12-03 22:00:00.0위탁급식영업202339.332806460610.308237<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11630900003090000-120-2024-000042024-05-02<NA>1영업/정상1영업<NA><NA><NA><NA><NA>842.21132-821서울특별시 도봉구 도봉동 626 서울북부지방법원서울특별시 도봉구 마들로 749, 서울북부지방법원 지하1층 (도봉동)1322본우리집밥 서울북부지방법원점2024-05-02 16:23:06I2023-12-05 00:04:00.0위탁급식영업204074.899807463886.851903<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>