Overview

Dataset statistics

Number of variables44
Number of observations159
Missing cells1892
Missing cells (%)27.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory58.5 KiB
Average record size in memory376.8 B

Variable types

Categorical19
Text8
DateTime4
Unsupported8
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-17980/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
등급구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (52.2%)Imbalance
여성종사자수 is highly imbalanced (52.2%)Imbalance
총인원 is highly imbalanced (74.0%)Imbalance
본사종업원수 is highly imbalanced (74.0%)Imbalance
공장사무직종업원수 is highly imbalanced (74.0%)Imbalance
공장판매직종업원수 is highly imbalanced (74.0%)Imbalance
공장생산직종업원수 is highly imbalanced (74.0%)Imbalance
보증액 is highly imbalanced (74.0%)Imbalance
월세액 is highly imbalanced (74.0%)Imbalance
인허가취소일자 has 159 (100.0%) missing valuesMissing
폐업일자 has 33 (20.8%) missing valuesMissing
휴업시작일자 has 159 (100.0%) missing valuesMissing
휴업종료일자 has 159 (100.0%) missing valuesMissing
재개업일자 has 159 (100.0%) missing valuesMissing
전화번호 has 35 (22.0%) missing valuesMissing
소재지면적 has 37 (23.3%) missing valuesMissing
도로명주소 has 47 (29.6%) missing valuesMissing
도로명우편번호 has 63 (39.6%) missing valuesMissing
좌표정보(X) has 7 (4.4%) missing valuesMissing
좌표정보(Y) has 7 (4.4%) missing valuesMissing
영업장주변구분명 has 156 (98.1%) missing valuesMissing
등급구분명 has 158 (99.4%) missing valuesMissing
건물소유구분명 has 159 (100.0%) missing valuesMissing
다중이용업소여부 has 38 (23.9%) missing valuesMissing
시설총규모 has 38 (23.9%) missing valuesMissing
전통업소지정번호 has 159 (100.0%) missing valuesMissing
전통업소주된음식 has 159 (100.0%) missing valuesMissing
홈페이지 has 159 (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
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 37 (23.3%) zerosZeros

Reproduction

Analysis started2024-05-11 07:03:21.430332
Analysis finished2024-05-11 07:03:23.084764
Duration1.65 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3030000
159 

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 159
100.0%

Length

2024-05-11T07:03:23.327450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:03:23.640113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 159
100.0%

관리번호
Text

UNIQUE 

Distinct159
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-11T07:03:24.081686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters3498
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

Unique159 ?
Unique (%)100.0%

Sample

1st row3030000-120-2003-00001
2nd row3030000-120-2003-00002
3rd row3030000-120-2003-00003
4th row3030000-120-2003-00004
5th row3030000-120-2003-00005
ValueCountFrequency (%)
3030000-120-2003-00001 1
 
0.6%
3030000-120-2016-00002 1
 
0.6%
3030000-120-2016-00004 1
 
0.6%
3030000-120-2016-00005 1
 
0.6%
3030000-120-2017-00001 1
 
0.6%
3030000-120-2017-00002 1
 
0.6%
3030000-120-2017-00003 1
 
0.6%
3030000-120-2017-00004 1
 
0.6%
3030000-120-2017-00005 1
 
0.6%
3030000-120-2016-00003 1
 
0.6%
Other values (149) 149
93.7%
2024-05-11T07:03:25.089873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1795
51.3%
- 477
 
13.6%
3 403
 
11.5%
2 394
 
11.3%
1 279
 
8.0%
4 34
 
1.0%
5 32
 
0.9%
7 26
 
0.7%
9 21
 
0.6%
6 20
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3021
86.4%
Dash Punctuation 477
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1795
59.4%
3 403
 
13.3%
2 394
 
13.0%
1 279
 
9.2%
4 34
 
1.1%
5 32
 
1.1%
7 26
 
0.9%
9 21
 
0.7%
6 20
 
0.7%
8 17
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 477
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3498
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1795
51.3%
- 477
 
13.6%
3 403
 
11.5%
2 394
 
11.3%
1 279
 
8.0%
4 34
 
1.0%
5 32
 
0.9%
7 26
 
0.7%
9 21
 
0.6%
6 20
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3498
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1795
51.3%
- 477
 
13.6%
3 403
 
11.5%
2 394
 
11.3%
1 279
 
8.0%
4 34
 
1.0%
5 32
 
0.9%
7 26
 
0.7%
9 21
 
0.6%
6 20
 
0.6%

인허가일자
Date

Distinct127
Distinct (%)79.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2003-08-27 00:00:00
Maximum2024-04-01 00:00:00
2024-05-11T07:03:25.503783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:03:25.947025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3
126 
1
33 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 126
79.2%
1 33
 
20.8%

Length

2024-05-11T07:03:26.379183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:03:26.724805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 126
79.2%
1 33
 
20.8%

영업상태명
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
폐업
126 
영업/정상
33 

Length

Max length5
Median length2
Mean length2.6226415
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 126
79.2%
영업/정상 33
 
20.8%

Length

2024-05-11T07:03:27.132880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:03:27.506186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 126
79.2%
영업/정상 33
 
20.8%

상세영업상태코드
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2
126 
1
33 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 126
79.2%
1 33
 
20.8%

Length

2024-05-11T07:03:27.885920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:03:28.259046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 126
79.2%
1 33
 
20.8%

상세영업상태명
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
폐업
126 
영업
33 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 126
79.2%
영업 33
 
20.8%

Length

2024-05-11T07:03:28.579426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:03:28.921497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 126
79.2%
영업 33
 
20.8%

폐업일자
Date

MISSING 

Distinct109
Distinct (%)86.5%
Missing33
Missing (%)20.8%
Memory size1.4 KiB
Minimum2004-05-20 00:00:00
Maximum2024-02-23 00:00:00
2024-05-11T07:03:29.325514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:03:29.782533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

전화번호
Text

MISSING 

Distinct110
Distinct (%)88.7%
Missing35
Missing (%)22.0%
Memory size1.4 KiB
2024-05-11T07:03:30.486148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.459677
Min length7

Characters and Unicode

Total characters1297
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

Unique105 ?
Unique (%)84.7%

Sample

1st row02 7293868
2nd row002 7293868
3rd row002 7293868
4th row4621506
5th row0234086870
ValueCountFrequency (%)
02 44
 
23.8%
0233920455 10
 
5.4%
30192273 3
 
1.6%
7293868 3
 
1.6%
33920455 2
 
1.1%
22818166 2
 
1.1%
002 2
 
1.1%
8215 2
 
1.1%
4698966 2
 
1.1%
070 2
 
1.1%
Other values (113) 113
61.1%
2024-05-11T07:03:32.030869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 257
19.8%
0 253
19.5%
9 101
 
7.8%
3 99
 
7.6%
4 96
 
7.4%
1 94
 
7.2%
6 91
 
7.0%
90
 
6.9%
8 81
 
6.2%
5 79
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1207
93.1%
Space Separator 90
 
6.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 257
21.3%
0 253
21.0%
9 101
 
8.4%
3 99
 
8.2%
4 96
 
8.0%
1 94
 
7.8%
6 91
 
7.5%
8 81
 
6.7%
5 79
 
6.5%
7 56
 
4.6%
Space Separator
ValueCountFrequency (%)
90
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1297
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 257
19.8%
0 253
19.5%
9 101
 
7.8%
3 99
 
7.6%
4 96
 
7.4%
1 94
 
7.2%
6 91
 
7.0%
90
 
6.9%
8 81
 
6.2%
5 79
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1297
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 257
19.8%
0 253
19.5%
9 101
 
7.8%
3 99
 
7.6%
4 96
 
7.4%
1 94
 
7.2%
6 91
 
7.0%
90
 
6.9%
8 81
 
6.2%
5 79
 
6.1%

소재지면적
Text

MISSING 

Distinct104
Distinct (%)85.2%
Missing37
Missing (%)23.3%
Memory size1.4 KiB
2024-05-11T07:03:32.803925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length5.9836066
Min length3

Characters and Unicode

Total characters730
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

Unique90 ?
Unique (%)73.8%

Sample

1st row239.50
2nd row715.20
3rd row354.00
4th row382.50
5th row34.98
ValueCountFrequency (%)
89.50 4
 
3.3%
277.97 4
 
3.3%
618.16 2
 
1.6%
304.40 2
 
1.6%
844.50 2
 
1.6%
295.12 2
 
1.6%
1,221.28 2
 
1.6%
30.00 2
 
1.6%
1,069.86 2
 
1.6%
686.00 2
 
1.6%
Other values (94) 98
80.3%
2024-05-11T07:03:34.224456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 143
19.6%
. 122
16.7%
2 76
10.4%
1 66
9.0%
5 56
 
7.7%
3 47
 
6.4%
8 46
 
6.3%
7 45
 
6.2%
9 43
 
5.9%
6 40
 
5.5%
Other values (2) 46
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 595
81.5%
Other Punctuation 135
 
18.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 143
24.0%
2 76
12.8%
1 66
11.1%
5 56
 
9.4%
3 47
 
7.9%
8 46
 
7.7%
7 45
 
7.6%
9 43
 
7.2%
6 40
 
6.7%
4 33
 
5.5%
Other Punctuation
ValueCountFrequency (%)
. 122
90.4%
, 13
 
9.6%

Most occurring scripts

ValueCountFrequency (%)
Common 730
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 143
19.6%
. 122
16.7%
2 76
10.4%
1 66
9.0%
5 56
 
7.7%
3 47
 
6.4%
8 46
 
6.3%
7 45
 
6.2%
9 43
 
5.9%
6 40
 
5.5%
Other values (2) 46
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 730
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 143
19.6%
. 122
16.7%
2 76
10.4%
1 66
9.0%
5 56
 
7.7%
3 47
 
6.4%
8 46
 
6.3%
7 45
 
6.2%
9 43
 
5.9%
6 40
 
5.5%
Other values (2) 46
 
6.3%

소재지우편번호
Categorical

Distinct50
Distinct (%)31.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
133871
16 
133832
14 
133870
11 
133817
 
9
133862
 
9
Other values (45)
100 

Length

Max length7
Median length6
Mean length6.1572327
Min length4

Unique

Unique18 ?
Unique (%)11.3%

Sample

1st row133852
2nd row133827
3rd row133838
4th row133826
5th row133-832

Common Values

ValueCountFrequency (%)
133871 16
 
10.1%
133832 14
 
8.8%
133870 11
 
6.9%
133817 9
 
5.7%
133862 9
 
5.7%
133823 6
 
3.8%
133827 6
 
3.8%
133-832 5
 
3.1%
133825 5
 
3.1%
133822 5
 
3.1%
Other values (40) 73
45.9%

Length

2024-05-11T07:03:34.924591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
133871 16
 
10.1%
133832 14
 
8.8%
133870 11
 
6.9%
133817 9
 
5.7%
133862 9
 
5.7%
133823 6
 
3.8%
133827 6
 
3.8%
133-832 5
 
3.1%
133825 5
 
3.1%
133822 5
 
3.1%
Other values (40) 73
45.9%

지번주소
Text

Distinct135
Distinct (%)85.4%
Missing1
Missing (%)0.6%
Memory size1.4 KiB
2024-05-11T07:03:35.519219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length37
Mean length28.28481
Min length16

Characters and Unicode

Total characters4469
Distinct characters155
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique120 ?
Unique (%)75.9%

Sample

1st row서울특별시 성동구 응봉동 205-1번지 (광희중학교)
2nd row서울특별시 성동구 성수동2가 333-17번지 (성원중학교)
3rd row서울특별시 성동구 옥수동 168-1번지 (옥수역)
4th row서울특별시 성동구 성수동2가 268번지 (경수중학교)
5th row서울특별시 성동구 성수동2가 279-29
ValueCountFrequency (%)
서울특별시 158
20.1%
성동구 158
20.1%
행당동 48
 
6.1%
성수동2가 31
 
3.9%
성수동1가 27
 
3.4%
17번지 17
 
2.2%
옥수동 12
 
1.5%
사근동 11
 
1.4%
용답동 11
 
1.4%
지하1층 11
 
1.4%
Other values (185) 302
38.4%
2024-05-11T07:03:36.719736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
748
 
16.7%
동 330
 
7.4%
성 224
 
5.0%
1 185
 
4.1%
서 168
 
3.8%
울 167
 
3.7%
구 163
 
3.6%
별 161
 
3.6%
시 160
 
3.6%
특 158
 
3.5%
Other values (145) 2005
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2781
62.2%
Decimal Number 758
 
17.0%
Space Separator 748
 
16.7%
Dash Punctuation 114
 
2.6%
Open Punctuation 30
 
0.7%
Close Punctuation 30
 
0.7%
Other Punctuation 4
 
0.1%
Uppercase Letter 2
 
< 0.1%
Letter Number 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 330
 
11.9%
성 224
 
8.1%
서 168
 
6.0%
울 167
 
6.0%
구 163
 
5.9%
별 161
 
5.8%
시 160
 
5.8%
특 158
 
5.7%
지 151
 
5.4%
번 103
 
3.7%
Other values (126) 996
35.8%
Decimal Number
ValueCountFrequency (%)
1 185
24.4%
2 156
20.6%
7 90
11.9%
3 74
 
9.8%
6 61
 
8.0%
8 58
 
7.7%
0 56
 
7.4%
5 37
 
4.9%
4 27
 
3.6%
9 14
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%
Space Separator
ValueCountFrequency (%)
748
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2781
62.2%
Common 1685
37.7%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 330
 
11.9%
성 224
 
8.1%
서 168
 
6.0%
울 167
 
6.0%
구 163
 
5.9%
별 161
 
5.8%
시 160
 
5.8%
특 158
 
5.7%
지 151
 
5.4%
번 103
 
3.7%
Other values (126) 996
35.8%
Common
ValueCountFrequency (%)
748
44.4%
1 185
 
11.0%
2 156
 
9.3%
- 114
 
6.8%
7 90
 
5.3%
3 74
 
4.4%
6 61
 
3.6%
8 58
 
3.4%
0 56
 
3.3%
5 37
 
2.2%
Other values (6) 106
 
6.3%
Latin
ValueCountFrequency (%)
Ⅲ 1
33.3%
S 1
33.3%
K 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2781
62.2%
ASCII 1687
37.7%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
748
44.3%
1 185
 
11.0%
2 156
 
9.2%
- 114
 
6.8%
7 90
 
5.3%
3 74
 
4.4%
6 61
 
3.6%
8 58
 
3.4%
0 56
 
3.3%
5 37
 
2.2%
Other values (8) 108
 
6.4%
Hangul
ValueCountFrequency (%)
동 330
 
11.9%
성 224
 
8.1%
서 168
 
6.0%
울 167
 
6.0%
구 163
 
5.9%
별 161
 
5.8%
시 160
 
5.8%
특 158
 
5.7%
지 151
 
5.4%
번 103
 
3.7%
Other values (126) 996
35.8%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

도로명주소
Text

MISSING 

Distinct100
Distinct (%)89.3%
Missing47
Missing (%)29.6%
Memory size1.4 KiB
2024-05-11T07:03:37.444503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length82
Median length44
Mean length35.446429
Min length24

Characters and Unicode

Total characters3970
Distinct characters160
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)79.5%

Sample

1st row서울특별시 성동구 성수이로26길 59 (성수동2가)
2nd row서울특별시 성동구 왕십리로 222 (행당동,한양대 생활과학대7층 교직원식당)
3rd row서울특별시 성동구 아차산로11길 18 (성수동2가)
4th row서울특별시 성동구 성수이로 134, 5층 (성수동2가)
5th row서울특별시 성동구 왕십리로 222 (행당동,한양여대 구내식당)
ValueCountFrequency (%)
성동구 113
 
15.5%
서울특별시 112
 
15.3%
왕십리로 32
 
4.4%
행당동 26
 
3.6%
성수동2가 19
 
2.6%
222 19
 
2.6%
지하1층 16
 
2.2%
성수동1가 15
 
2.1%
1층 14
 
1.9%
고산자로 13
 
1.8%
Other values (190) 352
48.2%
2024-05-11T07:03:38.821853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
619
 
15.6%
동 243
 
6.1%
성 168
 
4.2%
1 151
 
3.8%
2 138
 
3.5%
, 132
 
3.3%
서 125
 
3.1%
) 121
 
3.0%
( 121
 
3.0%
울 120
 
3.0%
Other values (150) 2032
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2425
61.1%
Space Separator 619
 
15.6%
Decimal Number 525
 
13.2%
Other Punctuation 132
 
3.3%
Close Punctuation 121
 
3.0%
Open Punctuation 121
 
3.0%
Uppercase Letter 15
 
0.4%
Dash Punctuation 10
 
0.3%
Letter Number 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 243
 
10.0%
성 168
 
6.9%
서 125
 
5.2%
울 120
 
4.9%
구 117
 
4.8%
별 116
 
4.8%
시 113
 
4.7%
특 112
 
4.6%
로 101
 
4.2%
층 80
 
3.3%
Other values (128) 1130
46.6%
Decimal Number
ValueCountFrequency (%)
1 151
28.8%
2 138
26.3%
3 38
 
7.2%
7 35
 
6.7%
9 33
 
6.3%
4 28
 
5.3%
0 28
 
5.3%
8 26
 
5.0%
6 24
 
4.6%
5 24
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
B 9
60.0%
K 2
 
13.3%
S 2
 
13.3%
G 1
 
6.7%
M 1
 
6.7%
Space Separator
ValueCountFrequency (%)
619
100.0%
Other Punctuation
ValueCountFrequency (%)
, 132
100.0%
Close Punctuation
ValueCountFrequency (%)
) 121
100.0%
Open Punctuation
ValueCountFrequency (%)
( 121
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
w 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2425
61.1%
Common 1528
38.5%
Latin 17
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 243
 
10.0%
성 168
 
6.9%
서 125
 
5.2%
울 120
 
4.9%
구 117
 
4.8%
별 116
 
4.8%
시 113
 
4.7%
특 112
 
4.6%
로 101
 
4.2%
층 80
 
3.3%
Other values (128) 1130
46.6%
Common
ValueCountFrequency (%)
619
40.5%
1 151
 
9.9%
2 138
 
9.0%
, 132
 
8.6%
) 121
 
7.9%
( 121
 
7.9%
3 38
 
2.5%
7 35
 
2.3%
9 33
 
2.2%
4 28
 
1.8%
Other values (5) 112
 
7.3%
Latin
ValueCountFrequency (%)
B 9
52.9%
K 2
 
11.8%
S 2
 
11.8%
Ⅲ 1
 
5.9%
w 1
 
5.9%
G 1
 
5.9%
M 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2425
61.1%
ASCII 1544
38.9%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
619
40.1%
1 151
 
9.8%
2 138
 
8.9%
, 132
 
8.5%
) 121
 
7.8%
( 121
 
7.8%
3 38
 
2.5%
7 35
 
2.3%
9 33
 
2.1%
4 28
 
1.8%
Other values (11) 128
 
8.3%
Hangul
ValueCountFrequency (%)
동 243
 
10.0%
성 168
 
6.9%
서 125
 
5.2%
울 120
 
4.9%
구 117
 
4.8%
별 116
 
4.8%
시 113
 
4.7%
특 112
 
4.6%
로 101
 
4.2%
층 80
 
3.3%
Other values (128) 1130
46.6%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)35.4%
Missing63
Missing (%)39.6%
Infinite0
Infinite (%)0.0%
Mean4764.5417
Minimum4701
Maximum4808
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-05-11T07:03:39.318324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4701
5-th percentile4704.75
Q14742.75
median4766
Q34790.5
95-th percentile4806
Maximum4808
Range107
Interquartile range (IQR)47.75

Descriptive statistics

Standard deviation30.637066
Coefficient of variation (CV)0.0064302232
Kurtosis-0.68082591
Mean4764.5417
Median Absolute Deviation (MAD)25
Skewness-0.53441979
Sum457396
Variance938.62982
MonotonicityNot monotonic
2024-05-11T07:03:39.878313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
4763 9
 
5.7%
4716 8
 
5.0%
4764 7
 
4.4%
4796 6
 
3.8%
4768 5
 
3.1%
4701 5
 
3.1%
4790 4
 
2.5%
4806 4
 
2.5%
4739 4
 
2.5%
4797 4
 
2.5%
Other values (24) 40
25.2%
(Missing) 63
39.6%
ValueCountFrequency (%)
4701 5
3.1%
4706 1
 
0.6%
4716 8
5.0%
4727 1
 
0.6%
4734 2
 
1.3%
4736 3
 
1.9%
4739 4
2.5%
4744 2
 
1.3%
4750 4
2.5%
4761 2
 
1.3%
ValueCountFrequency (%)
4808 1
 
0.6%
4807 1
 
0.6%
4806 4
2.5%
4803 1
 
0.6%
4802 2
 
1.3%
4799 3
1.9%
4798 1
 
0.6%
4797 4
2.5%
4796 6
3.8%
4792 1
 
0.6%

사업장명
Text

Distinct153
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-11T07:03:40.545084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length20
Mean length14.044025
Min length2

Characters and Unicode

Total characters2233
Distinct characters218
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

Unique147 ?
Unique (%)92.5%

Sample

1st row한화리조트(주) 광희중학교
2nd row한화호텔앤드리조트(주)성원중
3rd row한화국토개발(주)
4th row(주)웰스팜 경수중학교
5th row(주)현대그린푸드 기아차 성동AS
ValueCountFrequency (%)
주)엘에스씨푸드 10
 
3.8%
본우리집밥 6
 
2.3%
주)아워홈 6
 
2.3%
가람푸드써비스(주 5
 
1.9%
주)정오아카데미 4
 
1.5%
무학여자고등학교 4
 
1.5%
주)현대그린푸드 4
 
1.5%
주 3
 
1.1%
구내식당 3
 
1.1%
한화호텔앤드리조트(주 3
 
1.1%
Other values (189) 213
81.6%
2024-05-11T07:03:41.791097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 115
 
5.2%
) 115
 
5.2%
주 114
 
5.1%
102
 
4.6%
드 71
 
3.2%
점 70
 
3.1%
푸 63
 
2.8%
스 59
 
2.6%
학 51
 
2.3%
교 40
 
1.8%
Other values (208) 1433
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1871
83.8%
Open Punctuation 115
 
5.2%
Close Punctuation 115
 
5.2%
Space Separator 102
 
4.6%
Uppercase Letter 14
 
0.6%
Dash Punctuation 8
 
0.4%
Decimal Number 8
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 114
 
6.1%
드 71
 
3.8%
점 70
 
3.7%
푸 63
 
3.4%
스 59
 
3.2%
학 51
 
2.7%
교 40
 
2.1%
한 39
 
2.1%
성 38
 
2.0%
고 35
 
1.9%
Other values (194) 1291
69.0%
Uppercase Letter
ValueCountFrequency (%)
K 4
28.6%
S 3
21.4%
G 2
14.3%
M 2
14.3%
T 1
 
7.1%
A 1
 
7.1%
W 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 3
37.5%
1 3
37.5%
3 2
25.0%
Open Punctuation
ValueCountFrequency (%)
( 115
100.0%
Close Punctuation
ValueCountFrequency (%)
) 115
100.0%
Space Separator
ValueCountFrequency (%)
102
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1871
83.8%
Common 348
 
15.6%
Latin 14
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 114
 
6.1%
드 71
 
3.8%
점 70
 
3.7%
푸 63
 
3.4%
스 59
 
3.2%
학 51
 
2.7%
교 40
 
2.1%
한 39
 
2.1%
성 38
 
2.0%
고 35
 
1.9%
Other values (194) 1291
69.0%
Common
ValueCountFrequency (%)
( 115
33.0%
) 115
33.0%
102
29.3%
- 8
 
2.3%
2 3
 
0.9%
1 3
 
0.9%
3 2
 
0.6%
Latin
ValueCountFrequency (%)
K 4
28.6%
S 3
21.4%
G 2
14.3%
M 2
14.3%
T 1
 
7.1%
A 1
 
7.1%
W 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1871
83.8%
ASCII 362
 
16.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 115
31.8%
) 115
31.8%
102
28.2%
- 8
 
2.2%
K 4
 
1.1%
S 3
 
0.8%
2 3
 
0.8%
1 3
 
0.8%
G 2
 
0.6%
M 2
 
0.6%
Other values (4) 5
 
1.4%
Hangul
ValueCountFrequency (%)
주 114
 
6.1%
드 71
 
3.8%
점 70
 
3.7%
푸 63
 
3.4%
스 59
 
3.2%
학 51
 
2.7%
교 40
 
2.1%
한 39
 
2.1%
성 38
 
2.0%
고 35
 
1.9%
Other values (194) 1291
69.0%

최종수정일자
Date

Distinct148
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2003-10-14 00:00:00
Maximum2024-04-16 15:29:10
2024-05-11T07:03:42.367792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:03:42.870473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
I
100 
U
59 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 100
62.9%
U 59
37.1%

Length

2024-05-11T07:03:43.510725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:03:43.842171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 100
62.9%
u 59
37.1%

데이터갱신일자
Date

Distinct60
Distinct (%)37.7%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:03:00
2024-05-11T07:03:44.313708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:03:45.052838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
위탁급식영업
159 

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 159
100.0%

Length

2024-05-11T07:03:45.796099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:03:46.233063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁급식영업 159
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct66
Distinct (%)43.4%
Missing7
Missing (%)4.4%
Infinite0
Infinite (%)0.0%
Mean203810.54
Minimum200841.7
Maximum206038.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-05-11T07:03:46.790337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200841.7
5-th percentile201502.29
Q1203314.21
median203835
Q3204473.56
95-th percentile205483.3
Maximum206038.9
Range5197.1952
Interquartile range (IQR)1159.355

Descriptive statistics

Standard deviation1158.6344
Coefficient of variation (CV)0.00568486
Kurtosis0.15479215
Mean203810.54
Median Absolute Deviation (MAD)629.46896
Skewness-0.55448405
Sum30979202
Variance1342433.7
MonotonicityNot monotonic
2024-05-11T07:03:47.903042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
203684.127182478 18
 
11.3%
202834.511736276 10
 
6.3%
203654.69366597 9
 
5.7%
204108.263654233 7
 
4.4%
201502.287348747 6
 
3.8%
205481.402629049 4
 
2.5%
202316.342533394 4
 
2.5%
203999.01117035 3
 
1.9%
205485.625842269 3
 
1.9%
201084.709621627 3
 
1.9%
Other values (56) 85
53.5%
(Missing) 7
 
4.4%
ValueCountFrequency (%)
200841.700552929 1
 
0.6%
201034.098330397 1
 
0.6%
201084.709621627 3
 
1.9%
201132.08093176 2
 
1.3%
201502.287348747 6
3.8%
201819.513190983 1
 
0.6%
202300.319748 1
 
0.6%
202316.342533394 4
 
2.5%
202826.458815002 1
 
0.6%
202834.511736276 10
6.3%
ValueCountFrequency (%)
206038.895795153 1
 
0.6%
205813.149397325 1
 
0.6%
205691.055434708 2
1.3%
205607.708885848 1
 
0.6%
205485.625842269 3
1.9%
205481.402629049 4
2.5%
205454.504707747 1
 
0.6%
205426.832025995 1
 
0.6%
205400.923028347 2
1.3%
205259.649297 2
1.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct66
Distinct (%)43.4%
Missing7
Missing (%)4.4%
Infinite0
Infinite (%)0.0%
Mean450037.57
Minimum448440.4
Maximum452046.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-05-11T07:03:48.759930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448440.4
5-th percentile448644.21
Q1449317.25
median450286.2
Q3450698.57
95-th percentile451621.82
Maximum452046.17
Range3605.7647
Interquartile range (IQR)1381.3212

Descriptive statistics

Standard deviation949.2152
Coefficient of variation (CV)0.002109191
Kurtosis-1.0374975
Mean450037.57
Median Absolute Deviation (MAD)795.70023
Skewness0.10217323
Sum68405711
Variance901009.49
MonotonicityNot monotonic
2024-05-11T07:03:49.656296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450698.570810848 18
 
11.3%
450569.980689586 10
 
6.3%
450346.872988713 9
 
5.7%
450598.470063263 7
 
4.4%
448644.208009526 6
 
3.8%
449580.166328299 4
 
2.5%
451597.258748356 4
 
2.5%
449452.657052213 3
 
1.9%
449317.249590956 3
 
1.9%
448714.038805333 3
 
1.9%
Other values (56) 85
53.5%
(Missing) 7
 
4.4%
ValueCountFrequency (%)
448440.401164333 1
 
0.6%
448446.594395743 1
 
0.6%
448508.756036449 1
 
0.6%
448548.473935 1
 
0.6%
448552.293934289 1
 
0.6%
448606.759265006 1
 
0.6%
448607.441251647 1
 
0.6%
448644.208009526 6
3.8%
448670.29325464 1
 
0.6%
448672.519390851 1
 
0.6%
ValueCountFrequency (%)
452046.165852826 1
 
0.6%
452023.599802329 2
1.3%
451785.021954232 1
 
0.6%
451696.348010146 1
 
0.6%
451645.151722 1
 
0.6%
451625.620829471 1
 
0.6%
451621.820453953 2
1.3%
451597.258748356 4
2.5%
451267.730901002 1
 
0.6%
451215.657368771 2
1.3%

위생업태명
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
위탁급식영업
121 
<NA>
38 

Length

Max length6
Median length6
Mean length5.5220126
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위탁급식영업 121
76.1%
<NA> 38
 
23.9%

Length

2024-05-11T07:03:50.383937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:03:51.035604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁급식영업 121
76.1%
na 38
 
23.9%

남성종사자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
113 
0
44 
2
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.1320755
Min length1

Unique

Unique2 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 113
71.1%
0 44
 
27.7%
2 1
 
0.6%
1 1
 
0.6%

Length

2024-05-11T07:03:51.706038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:03:52.648173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 113
71.1%
0 44
 
27.7%
2 1
 
0.6%
1 1
 
0.6%

여성종사자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
113 
0
44 
13
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.1383648
Min length1

Unique

Unique2 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 113
71.1%
0 44
 
27.7%
13 1
 
0.6%
1 1
 
0.6%

Length

2024-05-11T07:03:53.171921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:03:53.572180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 113
71.1%
0 44
 
27.7%
13 1
 
0.6%
1 1
 
0.6%

영업장주변구분명
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing156
Missing (%)98.1%
Memory size1.4 KiB
2024-05-11T07:03:53.931580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length6
Min length2

Characters and Unicode

Total characters18
Distinct characters10
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)33.3%

Sample

1st row학교정화(절대)
2nd row기타
3rd row학교정화(절대)
ValueCountFrequency (%)
학교정화(절대 2
66.7%
기타 1
33.3%
2024-05-11T07:03:55.053816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 2
11.1%
교 2
11.1%
정 2
11.1%
화 2
11.1%
( 2
11.1%
절 2
11.1%
대 2
11.1%
) 2
11.1%
기 1
5.6%
타 1
5.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14
77.8%
Open Punctuation 2
 
11.1%
Close Punctuation 2
 
11.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 2
14.3%
교 2
14.3%
정 2
14.3%
화 2
14.3%
절 2
14.3%
대 2
14.3%
기 1
7.1%
타 1
7.1%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14
77.8%
Common 4
 
22.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 2
14.3%
교 2
14.3%
정 2
14.3%
화 2
14.3%
절 2
14.3%
대 2
14.3%
기 1
7.1%
타 1
7.1%
Common
ValueCountFrequency (%)
( 2
50.0%
) 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14
77.8%
ASCII 4
 
22.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 2
14.3%
교 2
14.3%
정 2
14.3%
화 2
14.3%
절 2
14.3%
대 2
14.3%
기 1
7.1%
타 1
7.1%
ASCII
ValueCountFrequency (%)
( 2
50.0%
) 2
50.0%

등급구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing158
Missing (%)99.4%
Memory size1.4 KiB
2024-05-11T07:03:55.332277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row기타
ValueCountFrequency (%)
기타 1
100.0%
2024-05-11T07:03:56.165795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

급수시설구분명
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
141 
상수도전용
18 

Length

Max length5
Median length4
Mean length4.1132075
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 141
88.7%
상수도전용 18
 
11.3%

Length

2024-05-11T07:03:56.797778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:03:57.224843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 141
88.7%
상수도전용 18
 
11.3%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
152 
0
 
7

Length

Max length4
Median length4
Mean length3.8679245
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> 152
95.6%
0 7
 
4.4%

Length

2024-05-11T07:03:57.630923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:03:58.037575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 152
95.6%
0 7
 
4.4%

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
152 
0
 
7

Length

Max length4
Median length4
Mean length3.8679245
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> 152
95.6%
0 7
 
4.4%

Length

2024-05-11T07:03:58.526728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:03:58.930600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 152
95.6%
0 7
 
4.4%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
152 
0
 
7

Length

Max length4
Median length4
Mean length3.8679245
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> 152
95.6%
0 7
 
4.4%

Length

2024-05-11T07:03:59.512119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:03:59.878443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 152
95.6%
0 7
 
4.4%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
152 
0
 
7

Length

Max length4
Median length4
Mean length3.8679245
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> 152
95.6%
0 7
 
4.4%

Length

2024-05-11T07:04:00.262038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:04:00.608972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 152
95.6%
0 7
 
4.4%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
152 
0
 
7

Length

Max length4
Median length4
Mean length3.8679245
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> 152
95.6%
0 7
 
4.4%

Length

2024-05-11T07:04:01.028530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:04:01.365392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 152
95.6%
0 7
 
4.4%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
152 
0
 
7

Length

Max length4
Median length4
Mean length3.8679245
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> 152
95.6%
0 7
 
4.4%

Length

2024-05-11T07:04:01.712481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:04:02.027679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 152
95.6%
0 7
 
4.4%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
152 
0
 
7

Length

Max length4
Median length4
Mean length3.8679245
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> 152
95.6%
0 7
 
4.4%

Length

2024-05-11T07:04:02.808520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:04:03.217659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 152
95.6%
0 7
 
4.4%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.8%
Missing38
Missing (%)23.9%
Memory size450.0 B
False
121 
(Missing)
38 
ValueCountFrequency (%)
False 121
76.1%
(Missing) 38
 
23.9%
2024-05-11T07:04:03.533397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct77
Distinct (%)63.6%
Missing38
Missing (%)23.9%
Infinite0
Infinite (%)0.0%
Mean282.36314
Minimum0
Maximum1975
Zeros37
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-05-11T07:04:03.879710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median147.75
Q3306
95-th percentile1178
Maximum1975
Range1975
Interquartile range (IQR)306

Descriptive statistics

Standard deviation393.14396
Coefficient of variation (CV)1.3923346
Kurtosis3.2050811
Mean282.36314
Median Absolute Deviation (MAD)147.75
Skewness1.8588904
Sum34165.94
Variance154562.17
MonotonicityNot monotonic
2024-05-11T07:04:04.333473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 37
23.3%
89.5 3
 
1.9%
277.97 2
 
1.3%
528.0 2
 
1.3%
304.4 2
 
1.3%
295.12 2
 
1.3%
1221.28 2
 
1.3%
1069.86 2
 
1.3%
618.16 1
 
0.6%
165.0 1
 
0.6%
Other values (67) 67
42.1%
(Missing) 38
23.9%
ValueCountFrequency (%)
0.0 37
23.3%
5.99 1
 
0.6%
6.2 1
 
0.6%
15.0 1
 
0.6%
15.51 1
 
0.6%
16.41 1
 
0.6%
16.5 1
 
0.6%
26.22 1
 
0.6%
30.0 1
 
0.6%
33.0 1
 
0.6%
ValueCountFrequency (%)
1975.0 1
0.6%
1392.3 1
0.6%
1310.4 1
0.6%
1301.8 1
0.6%
1221.28 2
1.3%
1178.0 1
0.6%
1099.2 1
0.6%
1098.22 1
0.6%
1069.86 2
1.3%
1032.9 1
0.6%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing159
Missing (%)100.0%
Memory size1.5 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030300003030000-120-2003-0000120030827<NA>3폐업2폐업20070212<NA><NA><NA>02 7293868<NA>133852서울특별시 성동구 응봉동 205-1번지 (광희중학교)<NA><NA>한화리조트(주) 광희중학교2007-01-11 00:00:00I2018-08-31 23:59:59.0위탁급식영업<NA><NA>위탁급식영업00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
130300003030000-120-2003-0000220030827<NA>3폐업2폐업20100219<NA><NA><NA>002 7293868<NA>133827서울특별시 성동구 성수동2가 333-17번지 (성원중학교)<NA><NA>한화호텔앤드리조트(주)성원중2010-01-21 10:01:58I2018-08-31 23:59:59.0위탁급식영업204538.590387448552.293934위탁급식영업00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
230300003030000-120-2003-0000320030827<NA>3폐업2폐업20050302<NA><NA><NA>002 7293868<NA>133838서울특별시 성동구 옥수동 168-1번지 (옥수역)<NA><NA>한화국토개발(주)2004-11-11 00:00:00I2018-08-31 23:59:59.0위탁급식영업201502.287349448644.20801위탁급식영업00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
330300003030000-120-2003-0000420030902<NA>3폐업2폐업20100217<NA><NA><NA>4621506<NA>133826서울특별시 성동구 성수동2가 268번지 (경수중학교)<NA><NA>(주)웰스팜 경수중학교2009-02-26 10:17:50I2018-08-31 23:59:59.0위탁급식영업205092.820733448606.759265위탁급식영업00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
430300003030000-120-2003-000052003-10-09<NA>1영업/정상1영업<NA><NA><NA><NA>0234086870239.50133-832서울특별시 성동구 성수동2가 279-29서울특별시 성동구 성수이로26길 59 (성수동2가)<NA>(주)현대그린푸드 기아차 성동AS2023-03-15 14:33:06U2022-12-02 23:07:00.0위탁급식영업205607.708886449180.719733<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
530300003030000-120-2003-0000720031010<NA>3폐업2폐업20100624<NA><NA><NA><NA><NA>133825서울특별시 성동구 성수동1가 685-143번지<NA><NA>삼주외식산업(주)-성수중2004-11-11 00:00:00I2018-08-31 23:59:59.0위탁급식영업203352.586096449489.197224위탁급식영업00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
630300003030000-120-2003-0000820031010<NA>3폐업2폐업20100624<NA><NA><NA>22991692<NA>133862서울특별시 성동구 행당동 66-3번지<NA><NA>삼주외식산업(주)-행당중2004-11-11 00:00:00I2018-08-31 23:59:59.0위탁급식영업203664.625394450225.533181위탁급식영업00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
730300003030000-120-2003-0001020031010<NA>3폐업2폐업20171229<NA><NA><NA>0222901547<NA>133871서울특별시 성동구 행당동 17번지 한양대 생활과학대7층 교직원식당서울특별시 성동구 왕십리로 222 (행당동,한양대 생활과학대7층 교직원식당)<NA>한화호텔앤드리조트(주)한양대1점2017-12-29 17:12:17I2018-08-31 23:59:59.0위탁급식영업203684.127182450698.570811위탁급식영업00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
830300003030000-120-2003-0001120031010<NA>3폐업2폐업20050117<NA><NA><NA>0222901542<NA>133871서울특별시 성동구 행당동 17번지 한양대 제2학생회관 조교식당<NA><NA>한화국토개발(주) 한양대 제2학생식당2004-11-11 00:00:00I2018-08-31 23:59:59.0위탁급식영업203684.127182450698.570811위탁급식영업00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
930300003030000-120-2003-0001220031011<NA>3폐업2폐업20050630<NA><NA><NA>02 4623293<NA>133836서울특별시 성동구 송정동 67-6번지<NA><NA>씨제이푸드시스템 성동세무서2004-11-11 00:00:00I2018-08-31 23:59:59.0위탁급식영업205481.402629449580.166328위탁급식영업00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
14930300003030000-120-2023-000012023-03-06<NA>1영업/정상1영업<NA><NA><NA><NA>0233920455277.97133-020서울특별시 성동구 하왕십리동 1070-4 도선고등학교서울특별시 성동구 마장로 156, 도선고등학교 (하왕십리동)4701(주)엘에스씨푸드 도선고등학교2023-03-06 11:11:06I2022-12-03 00:08:00.0위탁급식영업202316.342533451597.258748<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15030300003030000-120-2023-000022023-08-03<NA>1영업/정상1영업<NA><NA><NA><NA>02 928 925088.00133-865서울특별시 성동구 행당동 142-1 동부수도사업소서울특별시 성동구 고산자로10길 13, 동부수도사업소 지1층 (행당동)4744이든푸드서비스 동부수도사업소점2023-08-03 12:44:29I2022-12-08 00:05:00.0위탁급식영업203060.287782450768.641159<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15130300003030000-120-2023-000032023-10-20<NA>1영업/정상1영업<NA><NA><NA><NA>02 30119558310.00133-832서울특별시 성동구 성수동2가 279-1서울특별시 성동구 광나루로6길 36, SK텔레콤성수사옥 1층 (성수동2가)4799(주)대교디앤에스 SK텔레콤성수사옥2023-10-24 16:32:33U2022-10-30 22:06:00.0위탁급식영업205485.625842449317.249591<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15230300003030000-120-2023-000042023-10-24<NA>1영업/정상1영업<NA><NA><NA><NA>02 30192273389.00133-849서울특별시 성동구 용답동 129-2 신답역서울특별시 성동구 천호대로 232, 신답별관 10층 (용답동)4803본우리집밥 서울교통공사신답별관점2023-10-24 14:49:08I2022-10-30 22:06:00.0위탁급식영업203944.519307452046.165853<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15330300003030000-120-2023-000052023-10-27<NA>1영업/정상1영업<NA><NA><NA><NA>02 30192273319.00133-838서울특별시 성동구 옥수동 168-1 옥수역서울특별시 성동구 동호로 21, 옥수역 1층 (옥수동)4739본우리집밥 서울교통공사옥수역점2023-10-27 11:39:25I2022-10-30 22:09:00.0위탁급식영업201502.287349448644.20801<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15430300003030000-120-2023-000062023-10-27<NA>1영업/정상1영업<NA><NA><NA><NA>02 30192273480.00133-851서울특별시 성동구 용답동 223-5 서울시투자기관교육복지통합센터서울특별시 성동구 천호대로78길 15-48, 1층 (용답동)4806본우리집밥 서울교통공사인재개발원점2023-10-27 11:45:26I2022-10-30 22:09:00.0위탁급식영업204934.319836451032.958798<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15530300003030000-120-2023-000072023-11-01<NA>1영업/정상1영업<NA><NA><NA><NA>02 33920455387.20133-866서울특별시 성동구 행당동 168-151 왕십리민자역사서울특별시 성동구 왕십리광장로 17, 왕십리민자역사 3층 (행당동)4750(주)엘에스씨푸드 이마트왕십리점2023-11-01 17:29:39I2022-11-01 00:03:00.0위탁급식영업203321.56233451001.868688<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15630300003030000-120-2024-000012024-01-17<NA>1영업/정상1영업<NA><NA><NA><NA>02 22011589187.26133-839서울특별시 성동구 옥수동 265-1서울특별시 성동구 독서당로 204, 지2층 B201호 (옥수동)4734우리푸드2024-01-17 15:38:18I2023-11-30 23:09:00.0위탁급식영업201132.080932448987.213432<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15730300003030000-120-2024-000022024-02-23<NA>1영업/정상1영업<NA><NA><NA><NA>02 996 7691132.00133-817서울특별시 성동구 사근동 110 한양대학교서울특별시 성동구 왕십리로 222, 한양대학교 제1생활관식당 1층 (사근동)4763(주)정오아카데미 한양대학교점2024-02-23 11:12:21I2023-12-01 22:05:00.0위탁급식영업204117.965772450608.519334<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15830300003030000-120-2024-000032024-04-01<NA>1영업/정상1영업<NA><NA><NA><NA><NA>116.25133-851서울특별시 성동구 용답동 223-3서울특별시 성동구 천호대로 346 (용답동)4806본우리집밥 서울교통공사본사점2024-04-01 11:17:47I2023-12-04 00:03:00.0위탁급식영업204987.559275451147.599393<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>