Overview

Dataset statistics

Number of variables44
Number of observations147
Missing cells1792
Missing cells (%)27.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory54.2 KiB
Average record size in memory377.9 B

Variable types

Categorical18
Text8
DateTime4
Unsupported9
Numeric4
Boolean1

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),위생업태명,남성종사자수,여성종사자수,영업장주변구분명,등급구분명,급수시설구분명,총인원,본사종업원수,공장사무직종업원수,공장판매직종업원수,공장생산직종업원수,건물소유구분명,보증액,월세액,다중이용업소여부,시설총규모,전통업소지정번호,전통업소주된음식,홈페이지
Author서대문구
URLhttps://data.seoul.go.kr/dataList/OA-17989/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
영업장주변구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (50.4%)Imbalance
여성종사자수 is highly imbalanced (62.4%)Imbalance
총인원 is highly imbalanced (64.1%)Imbalance
본사종업원수 is highly imbalanced (64.1%)Imbalance
공장사무직종업원수 is highly imbalanced (64.1%)Imbalance
공장판매직종업원수 is highly imbalanced (64.1%)Imbalance
공장생산직종업원수 is highly imbalanced (64.1%)Imbalance
보증액 is highly imbalanced (64.1%)Imbalance
월세액 is highly imbalanced (64.1%)Imbalance
인허가취소일자 has 147 (100.0%) missing valuesMissing
폐업일자 has 39 (26.5%) missing valuesMissing
휴업시작일자 has 147 (100.0%) missing valuesMissing
휴업종료일자 has 147 (100.0%) missing valuesMissing
재개업일자 has 147 (100.0%) missing valuesMissing
전화번호 has 62 (42.2%) missing valuesMissing
소재지면적 has 33 (22.4%) missing valuesMissing
도로명주소 has 53 (36.1%) missing valuesMissing
도로명우편번호 has 55 (37.4%) missing valuesMissing
좌표정보(X) has 11 (7.5%) missing valuesMissing
좌표정보(Y) has 11 (7.5%) missing valuesMissing
영업장주변구분명 has 145 (98.6%) missing valuesMissing
등급구분명 has 147 (100.0%) missing valuesMissing
건물소유구분명 has 147 (100.0%) missing valuesMissing
다중이용업소여부 has 30 (20.4%) missing valuesMissing
시설총규모 has 30 (20.4%) missing valuesMissing
전통업소지정번호 has 147 (100.0%) missing valuesMissing
전통업소주된음식 has 147 (100.0%) missing valuesMissing
홈페이지 has 147 (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
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 36 (24.5%) zerosZeros

Reproduction

Analysis started2024-04-29 19:32:27.726063
Analysis finished2024-04-29 19:32:28.706283
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
3120000
147 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3120000
2nd row3120000
3rd row3120000
4th row3120000
5th row3120000

Common Values

ValueCountFrequency (%)
3120000 147
100.0%

Length

2024-04-30T04:32:28.799340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:32:28.933386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3120000 147
100.0%

관리번호
Text

UNIQUE 

Distinct147
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-30T04:32:29.124931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters3234
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

Unique147 ?
Unique (%)100.0%

Sample

1st row3120000-120-2003-00001
2nd row3120000-120-2003-00002
3rd row3120000-120-2003-00003
4th row3120000-120-2003-00004
5th row3120000-120-2003-00005
ValueCountFrequency (%)
3120000-120-2003-00001 1
 
0.7%
3120000-120-2011-00002 1
 
0.7%
3120000-120-2015-00008 1
 
0.7%
3120000-120-2015-00002 1
 
0.7%
3120000-120-2015-00003 1
 
0.7%
3120000-120-2015-00004 1
 
0.7%
3120000-120-2015-00005 1
 
0.7%
3120000-120-2015-00006 1
 
0.7%
3120000-120-2015-00007 1
 
0.7%
3120000-120-2015-00009 1
 
0.7%
Other values (137) 137
93.2%
2024-04-30T04:32:29.469850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1527
47.2%
2 504
 
15.6%
- 441
 
13.6%
1 398
 
12.3%
3 217
 
6.7%
5 35
 
1.1%
4 33
 
1.0%
6 27
 
0.8%
8 18
 
0.6%
7 18
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2793
86.4%
Dash Punctuation 441
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1527
54.7%
2 504
 
18.0%
1 398
 
14.2%
3 217
 
7.8%
5 35
 
1.3%
4 33
 
1.2%
6 27
 
1.0%
8 18
 
0.6%
7 18
 
0.6%
9 16
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 441
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3234
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1527
47.2%
2 504
 
15.6%
- 441
 
13.6%
1 398
 
12.3%
3 217
 
6.7%
5 35
 
1.1%
4 33
 
1.0%
6 27
 
0.8%
8 18
 
0.6%
7 18
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3234
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1527
47.2%
2 504
 
15.6%
- 441
 
13.6%
1 398
 
12.3%
3 217
 
6.7%
5 35
 
1.1%
4 33
 
1.0%
6 27
 
0.8%
8 18
 
0.6%
7 18
 
0.6%

인허가일자
Date

Distinct120
Distinct (%)81.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2003-10-10 00:00:00
Maximum2024-02-23 00:00:00
2024-04-30T04:32:29.583741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:32:29.712069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
3
108 
1
39 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 108
73.5%
1 39
 
26.5%

Length

2024-04-30T04:32:29.842474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:32:29.923049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 108
73.5%
1 39
 
26.5%

영업상태명
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
폐업
108 
영업/정상
39 

Length

Max length5
Median length2
Mean length2.7959184
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 108
73.5%
영업/정상 39
 
26.5%

Length

2024-04-30T04:32:30.010106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:32:30.100056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 108
73.5%
영업/정상 39
 
26.5%

상세영업상태코드
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2
108 
1
39 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 108
73.5%
1 39
 
26.5%

Length

2024-04-30T04:32:30.199964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:32:30.285799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 108
73.5%
1 39
 
26.5%

상세영업상태명
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
폐업
108 
영업
39 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 108
73.5%
영업 39
 
26.5%

Length

2024-04-30T04:32:30.370179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:32:30.449712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 108
73.5%
영업 39
 
26.5%

폐업일자
Date

MISSING 

Distinct98
Distinct (%)90.7%
Missing39
Missing (%)26.5%
Memory size1.3 KiB
Minimum2003-12-30 00:00:00
Maximum2024-03-20 00:00:00
2024-04-30T04:32:30.532745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:32:30.657826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

전화번호
Text

MISSING 

Distinct82
Distinct (%)96.5%
Missing62
Missing (%)42.2%
Memory size1.3 KiB
2024-04-30T04:32:30.875199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.905882
Min length8

Characters and Unicode

Total characters927
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

Unique79 ?
Unique (%)92.9%

Sample

1st row0231453180
2nd row000208259481
3rd row000203647936
4th row000221496257
5th row000203758748
ValueCountFrequency (%)
02 57
32.8%
7691 3
 
1.7%
7785 2
 
1.1%
996 2
 
1.1%
396 2
 
1.1%
392 2
 
1.1%
305 2
 
1.1%
361 2
 
1.1%
9250 2
 
1.1%
928 2
 
1.1%
Other values (96) 98
56.3%
2024-04-30T04:32:31.238562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 168
18.1%
2 147
15.9%
120
12.9%
3 99
10.7%
6 67
 
7.2%
1 65
 
7.0%
7 61
 
6.6%
8 55
 
5.9%
5 54
 
5.8%
9 53
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 807
87.1%
Space Separator 120
 
12.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 168
20.8%
2 147
18.2%
3 99
12.3%
6 67
 
8.3%
1 65
 
8.1%
7 61
 
7.6%
8 55
 
6.8%
5 54
 
6.7%
9 53
 
6.6%
4 38
 
4.7%
Space Separator
ValueCountFrequency (%)
120
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 927
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 168
18.1%
2 147
15.9%
120
12.9%
3 99
10.7%
6 67
 
7.2%
1 65
 
7.0%
7 61
 
6.6%
8 55
 
5.9%
5 54
 
5.8%
9 53
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 927
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 168
18.1%
2 147
15.9%
120
12.9%
3 99
10.7%
6 67
 
7.2%
1 65
 
7.0%
7 61
 
6.6%
8 55
 
5.9%
5 54
 
5.8%
9 53
 
5.7%

소재지면적
Text

MISSING 

Distinct97
Distinct (%)85.1%
Missing33
Missing (%)22.4%
Memory size1.3 KiB
2024-04-30T04:32:31.499538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length5.8947368
Min length3

Characters and Unicode

Total characters672
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

Unique83 ?
Unique (%)72.8%

Sample

1st row561.00
2nd row174.00
3rd row167.28
4th row257.85
5th row2,822.00
ValueCountFrequency (%)
00 4
 
3.5%
667.00 3
 
2.6%
297.35 2
 
1.8%
76.68 2
 
1.8%
364.35 2
 
1.8%
320.00 2
 
1.8%
264.00 2
 
1.8%
121.35 2
 
1.8%
16.50 2
 
1.8%
185.00 2
 
1.8%
Other values (87) 91
79.8%
2024-04-30T04:32:31.828682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 142
21.1%
. 114
17.0%
1 59
8.8%
2 49
 
7.3%
3 47
 
7.0%
7 46
 
6.8%
8 46
 
6.8%
5 46
 
6.8%
4 44
 
6.5%
6 40
 
6.0%
Other values (2) 39
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 550
81.8%
Other Punctuation 122
 
18.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 142
25.8%
1 59
10.7%
2 49
 
8.9%
3 47
 
8.5%
7 46
 
8.4%
8 46
 
8.4%
5 46
 
8.4%
4 44
 
8.0%
6 40
 
7.3%
9 31
 
5.6%
Other Punctuation
ValueCountFrequency (%)
. 114
93.4%
, 8
 
6.6%

Most occurring scripts

ValueCountFrequency (%)
Common 672
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 142
21.1%
. 114
17.0%
1 59
8.8%
2 49
 
7.3%
3 47
 
7.0%
7 46
 
6.8%
8 46
 
6.8%
5 46
 
6.8%
4 44
 
6.5%
6 40
 
6.0%
Other values (2) 39
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 672
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 142
21.1%
. 114
17.0%
1 59
8.8%
2 49
 
7.3%
3 47
 
7.0%
7 46
 
6.8%
8 46
 
6.8%
5 46
 
6.8%
4 44
 
6.5%
6 40
 
6.0%
Other values (2) 39
 
5.8%

소재지우편번호
Text

Distinct56
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-30T04:32:32.015308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1360544
Min length6

Characters and Unicode

Total characters902
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

Unique30 ?
Unique (%)20.4%

Sample

1st row120863
2nd row120850
3rd row120-834
4th row120844
5th row120160
ValueCountFrequency (%)
120140 22
 
15.0%
120848 15
 
10.2%
120160 8
 
5.4%
120818 7
 
4.8%
120823 7
 
4.8%
120-140 5
 
3.4%
120808 5
 
3.4%
120854 4
 
2.7%
120750 4
 
2.7%
120-848 4
 
2.7%
Other values (46) 66
44.9%
2024-04-30T04:32:32.312372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 232
25.7%
1 208
23.1%
2 169
18.7%
8 116
12.9%
4 62
 
6.9%
7 28
 
3.1%
3 25
 
2.8%
- 20
 
2.2%
5 20
 
2.2%
6 19
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 882
97.8%
Dash Punctuation 20
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 232
26.3%
1 208
23.6%
2 169
19.2%
8 116
13.2%
4 62
 
7.0%
7 28
 
3.2%
3 25
 
2.8%
5 20
 
2.3%
6 19
 
2.2%
9 3
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 902
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 232
25.7%
1 208
23.1%
2 169
18.7%
8 116
12.9%
4 62
 
6.9%
7 28
 
3.1%
3 25
 
2.8%
- 20
 
2.2%
5 20
 
2.2%
6 19
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 902
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 232
25.7%
1 208
23.1%
2 169
18.7%
8 116
12.9%
4 62
 
6.9%
7 28
 
3.1%
3 25
 
2.8%
- 20
 
2.2%
5 20
 
2.2%
6 19
 
2.1%

지번주소
Text

Distinct122
Distinct (%)83.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-30T04:32:32.522066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length39
Mean length28.07483
Min length18

Characters and Unicode

Total characters4127
Distinct characters165
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

Unique107 ?
Unique (%)72.8%

Sample

1st row서울특별시 서대문구 홍제동 287-854번지
2nd row서울특별시 서대문구 홍은동 산 11-97번지
3rd row서울특별시 서대문구 창천동 30-33
4th row서울특별시 서대문구 홍은동 183번지
5th row서울특별시 서대문구 대신동 20번지
ValueCountFrequency (%)
서울특별시 147
19.6%
서대문구 147
19.6%
신촌동 28
 
3.7%
홍은동 26
 
3.5%
지하1층 16
 
2.1%
연희동 14
 
1.9%
홍제동 12
 
1.6%
134번지 12
 
1.6%
134 12
 
1.6%
대현동 11
 
1.5%
Other values (174) 325
43.3%
2024-04-30T04:32:32.823689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
720
 
17.4%
서 305
 
7.4%
대 204
 
4.9%
1 183
 
4.4%
문 151
 
3.7%
울 150
 
3.6%
구 149
 
3.6%
시 148
 
3.6%
별 148
 
3.6%
특 147
 
3.6%
Other values (155) 1822
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2688
65.1%
Space Separator 720
 
17.4%
Decimal Number 576
 
14.0%
Dash Punctuation 97
 
2.4%
Open Punctuation 14
 
0.3%
Close Punctuation 14
 
0.3%
Other Punctuation 10
 
0.2%
Uppercase Letter 7
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 305
 
11.3%
대 204
 
7.6%
문 151
 
5.6%
울 150
 
5.6%
구 149
 
5.5%
시 148
 
5.5%
별 148
 
5.5%
특 147
 
5.5%
동 143
 
5.3%
지 141
 
5.2%
Other values (130) 1002
37.3%
Decimal Number
ValueCountFrequency (%)
1 183
31.8%
3 102
17.7%
2 42
 
7.3%
6 39
 
6.8%
5 39
 
6.8%
0 38
 
6.6%
7 38
 
6.6%
4 35
 
6.1%
9 35
 
6.1%
8 25
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
H 1
14.3%
N 1
14.3%
A 1
14.3%
B 1
14.3%
K 1
14.3%
T 1
14.3%
C 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 4
40.0%
? 4
40.0%
' 2
20.0%
Space Separator
ValueCountFrequency (%)
720
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 97
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2688
65.1%
Common 1432
34.7%
Latin 7
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 305
 
11.3%
대 204
 
7.6%
문 151
 
5.6%
울 150
 
5.6%
구 149
 
5.5%
시 148
 
5.5%
별 148
 
5.5%
특 147
 
5.5%
동 143
 
5.3%
지 141
 
5.2%
Other values (130) 1002
37.3%
Common
ValueCountFrequency (%)
720
50.3%
1 183
 
12.8%
3 102
 
7.1%
- 97
 
6.8%
2 42
 
2.9%
6 39
 
2.7%
5 39
 
2.7%
0 38
 
2.7%
7 38
 
2.7%
4 35
 
2.4%
Other values (8) 99
 
6.9%
Latin
ValueCountFrequency (%)
H 1
14.3%
N 1
14.3%
A 1
14.3%
B 1
14.3%
K 1
14.3%
T 1
14.3%
C 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2688
65.1%
ASCII 1439
34.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
720
50.0%
1 183
 
12.7%
3 102
 
7.1%
- 97
 
6.7%
2 42
 
2.9%
6 39
 
2.7%
5 39
 
2.7%
0 38
 
2.6%
7 38
 
2.6%
4 35
 
2.4%
Other values (15) 106
 
7.4%
Hangul
ValueCountFrequency (%)
서 305
 
11.3%
대 204
 
7.6%
문 151
 
5.6%
울 150
 
5.6%
구 149
 
5.5%
시 148
 
5.5%
별 148
 
5.5%
특 147
 
5.5%
동 143
 
5.3%
지 141
 
5.2%
Other values (130) 1002
37.3%

도로명주소
Text

MISSING 

Distinct87
Distinct (%)92.6%
Missing53
Missing (%)36.1%
Memory size1.3 KiB
2024-04-30T04:32:33.079072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length42.5
Mean length34.787234
Min length23

Characters and Unicode

Total characters3270
Distinct characters172
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

Unique81 ?
Unique (%)86.2%

Sample

1st row서울특별시 서대문구 신촌로 83 (창천동)
2nd row서울특별시 서대문구 연희로 26 (창천동)
3rd row서울특별시 서대문구 연희로 142 (연희동)
4th row서울특별시 서대문구 이화여대길 52 (북아현동)
5th row서울특별시 서대문구 연세로 50 (신촌동)
ValueCountFrequency (%)
서울특별시 94
 
15.2%
서대문구 94
 
15.2%
연세로 19
 
3.1%
신촌동 18
 
2.9%
홍은동 17
 
2.8%
지하1층 15
 
2.4%
1층 12
 
1.9%
50 12
 
1.9%
52 9
 
1.5%
이화여대길 9
 
1.5%
Other values (162) 319
51.6%
2024-04-30T04:32:33.462408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
524
 
16.0%
서 202
 
6.2%
대 153
 
4.7%
문 104
 
3.2%
( 98
 
3.0%
구 98
 
3.0%
) 98
 
3.0%
울 97
 
3.0%
시 95
 
2.9%
특 94
 
2.9%
Other values (162) 1707
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2111
64.6%
Space Separator 524
 
16.0%
Decimal Number 323
 
9.9%
Open Punctuation 98
 
3.0%
Close Punctuation 98
 
3.0%
Other Punctuation 96
 
2.9%
Dash Punctuation 11
 
0.3%
Uppercase Letter 8
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 202
 
9.6%
대 153
 
7.2%
문 104
 
4.9%
구 98
 
4.6%
울 97
 
4.6%
시 95
 
4.5%
특 94
 
4.5%
별 94
 
4.5%
동 91
 
4.3%
로 86
 
4.1%
Other values (139) 997
47.2%
Decimal Number
ValueCountFrequency (%)
1 78
24.1%
2 54
16.7%
5 52
16.1%
3 32
9.9%
0 28
 
8.7%
4 20
 
6.2%
7 17
 
5.3%
6 17
 
5.3%
9 16
 
5.0%
8 9
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
B 2
25.0%
K 2
25.0%
T 2
25.0%
A 1
12.5%
C 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 90
93.8%
? 4
 
4.2%
' 2
 
2.1%
Space Separator
ValueCountFrequency (%)
524
100.0%
Open Punctuation
ValueCountFrequency (%)
( 98
100.0%
Close Punctuation
ValueCountFrequency (%)
) 98
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2111
64.6%
Common 1151
35.2%
Latin 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 202
 
9.6%
대 153
 
7.2%
문 104
 
4.9%
구 98
 
4.6%
울 97
 
4.6%
시 95
 
4.5%
특 94
 
4.5%
별 94
 
4.5%
동 91
 
4.3%
로 86
 
4.1%
Other values (139) 997
47.2%
Common
ValueCountFrequency (%)
524
45.5%
( 98
 
8.5%
) 98
 
8.5%
, 90
 
7.8%
1 78
 
6.8%
2 54
 
4.7%
5 52
 
4.5%
3 32
 
2.8%
0 28
 
2.4%
4 20
 
1.7%
Other values (8) 77
 
6.7%
Latin
ValueCountFrequency (%)
B 2
25.0%
K 2
25.0%
T 2
25.0%
A 1
12.5%
C 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2111
64.6%
ASCII 1159
35.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
524
45.2%
( 98
 
8.5%
) 98
 
8.5%
, 90
 
7.8%
1 78
 
6.7%
2 54
 
4.7%
5 52
 
4.5%
3 32
 
2.8%
0 28
 
2.4%
4 20
 
1.7%
Other values (13) 85
 
7.3%
Hangul
ValueCountFrequency (%)
서 202
 
9.6%
대 153
 
7.2%
문 104
 
4.9%
구 98
 
4.6%
울 97
 
4.6%
시 95
 
4.5%
특 94
 
4.5%
별 94
 
4.5%
동 91
 
4.3%
로 86
 
4.1%
Other values (139) 997
47.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)39.1%
Missing55
Missing (%)37.4%
Infinite0
Infinite (%)0.0%
Mean3710.8478
Minimum3617
Maximum3789
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-30T04:32:33.595238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3617
5-th percentile3635
Q13659
median3722
Q33745.25
95-th percentile3762
Maximum3789
Range172
Interquartile range (IQR)86.25

Descriptive statistics

Standard deviation44.724046
Coefficient of variation (CV)0.012052245
Kurtosis-0.99560012
Mean3710.8478
Median Absolute Deviation (MAD)34
Skewness-0.50496296
Sum341398
Variance2000.2403
MonotonicityNot monotonic
2024-04-30T04:32:33.717429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
3722 19
 
12.9%
3760 8
 
5.4%
3656 8
 
5.4%
3635 4
 
2.7%
3723 4
 
2.7%
3650 4
 
2.7%
3659 3
 
2.0%
3762 3
 
2.0%
3746 3
 
2.0%
3745 3
 
2.0%
Other values (26) 33
22.4%
(Missing) 55
37.4%
ValueCountFrequency (%)
3617 2
 
1.4%
3629 1
 
0.7%
3635 4
2.7%
3640 1
 
0.7%
3650 4
2.7%
3653 1
 
0.7%
3656 8
5.4%
3658 1
 
0.7%
3659 3
 
2.0%
3672 1
 
0.7%
ValueCountFrequency (%)
3789 1
 
0.7%
3784 1
 
0.7%
3767 1
 
0.7%
3765 1
 
0.7%
3762 3
 
2.0%
3760 8
5.4%
3759 2
 
1.4%
3753 2
 
1.4%
3752 1
 
0.7%
3746 3
 
2.0%

사업장명
Text

Distinct145
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-30T04:32:33.888475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length23
Mean length14.517007
Min length3

Characters and Unicode

Total characters2134
Distinct characters241
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

Unique143 ?
Unique (%)97.3%

Sample

1st row(주)이씨엠디 노인간호센타
2nd row아라코(주)정원여중지점
3rd row(주)현대그린푸드현대백화점신촌점
4th row(주)미감푸드빌 홍은중학교 급식실
5th row씨제이푸드시스템(주)이화초등점
ValueCountFrequency (%)
주)아워홈 10
 
4.1%
명지전문대점 4
 
1.6%
구내식당 4
 
1.6%
학생식당 3
 
1.2%
아라마크(주 3
 
1.2%
제이제이케터링(주 3
 
1.2%
이화여대 3
 
1.2%
주)신세계푸드 3
 
1.2%
주)엘에스씨푸드명지고 2
 
0.8%
명지전문대 2
 
0.8%
Other values (191) 207
84.8%
2024-04-30T04:32:34.180072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 100
 
4.7%
) 100
 
4.7%
97
 
4.5%
주 89
 
4.2%
점 75
 
3.5%
대 66
 
3.1%
이 59
 
2.8%
학 54
 
2.5%
드 52
 
2.4%
스 51
 
2.4%
Other values (231) 1391
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1777
83.3%
Open Punctuation 100
 
4.7%
Close Punctuation 100
 
4.7%
Space Separator 97
 
4.5%
Uppercase Letter 32
 
1.5%
Lowercase Letter 14
 
0.7%
Decimal Number 8
 
0.4%
Dash Punctuation 4
 
0.2%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 89
 
5.0%
점 75
 
4.2%
대 66
 
3.7%
이 59
 
3.3%
학 54
 
3.0%
드 52
 
2.9%
스 51
 
2.9%
푸 50
 
2.8%
교 41
 
2.3%
지 36
 
2.0%
Other values (200) 1204
67.8%
Uppercase Letter
ValueCountFrequency (%)
H 4
12.5%
A 4
12.5%
J 3
9.4%
C 3
9.4%
F 3
9.4%
M 3
9.4%
E 2
 
6.2%
G 2
 
6.2%
D 2
 
6.2%
N 1
 
3.1%
Other values (5) 5
15.6%
Lowercase Letter
ValueCountFrequency (%)
o 4
28.6%
e 3
21.4%
s 2
14.3%
u 2
14.3%
l 1
 
7.1%
x 1
 
7.1%
d 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 3
37.5%
0 2
25.0%
1 2
25.0%
3 1
 
12.5%
Open Punctuation
ValueCountFrequency (%)
( 100
100.0%
Close Punctuation
ValueCountFrequency (%)
) 100
100.0%
Space Separator
ValueCountFrequency (%)
97
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1777
83.3%
Common 311
 
14.6%
Latin 46
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 89
 
5.0%
점 75
 
4.2%
대 66
 
3.7%
이 59
 
3.3%
학 54
 
3.0%
드 52
 
2.9%
스 51
 
2.9%
푸 50
 
2.8%
교 41
 
2.3%
지 36
 
2.0%
Other values (200) 1204
67.8%
Latin
ValueCountFrequency (%)
H 4
 
8.7%
o 4
 
8.7%
A 4
 
8.7%
J 3
 
6.5%
C 3
 
6.5%
e 3
 
6.5%
F 3
 
6.5%
M 3
 
6.5%
E 2
 
4.3%
s 2
 
4.3%
Other values (12) 15
32.6%
Common
ValueCountFrequency (%)
( 100
32.2%
) 100
32.2%
97
31.2%
- 4
 
1.3%
2 3
 
1.0%
0 2
 
0.6%
1 2
 
0.6%
& 2
 
0.6%
3 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1777
83.3%
ASCII 357
 
16.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 100
28.0%
) 100
28.0%
97
27.2%
H 4
 
1.1%
o 4
 
1.1%
A 4
 
1.1%
- 4
 
1.1%
J 3
 
0.8%
2 3
 
0.8%
C 3
 
0.8%
Other values (21) 35
 
9.8%
Hangul
ValueCountFrequency (%)
주 89
 
5.0%
점 75
 
4.2%
대 66
 
3.7%
이 59
 
3.3%
학 54
 
3.0%
드 52
 
2.9%
스 51
 
2.9%
푸 50
 
2.8%
교 41
 
2.3%
지 36
 
2.0%
Other values (200) 1204
67.8%

최종수정일자
Date

Distinct141
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2003-10-10 00:00:00
Maximum2024-04-16 15:59:52
2024-04-30T04:32:34.291769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:32:34.406698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
I
94 
U
53 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 94
63.9%
U 53
36.1%

Length

2024-04-30T04:32:34.724665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:32:34.805910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 94
63.9%
u 53
36.1%

데이터갱신일자
Date

Distinct56
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:08:00
2024-04-30T04:32:34.909354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:32:35.026628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
위탁급식영업
147 

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 147
100.0%

Length

2024-04-30T04:32:35.128985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:32:35.204939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁급식영업 147
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct52
Distinct (%)38.2%
Missing11
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean194739.85
Minimum191594.95
Maximum197147.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-30T04:32:35.286121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191594.95
5-th percentile193139.52
Q1194044.12
median194584.96
Q3195454.2
95-th percentile196681.14
Maximum197147.39
Range5552.4442
Interquartile range (IQR)1410.0755

Descriptive statistics

Standard deviation1154.601
Coefficient of variation (CV)0.0059289404
Kurtosis-0.40894744
Mean194739.85
Median Absolute Deviation (MAD)766.25566
Skewness0.066744645
Sum26484620
Variance1333103.4
MonotonicityNot monotonic
2024-04-30T04:32:35.393964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
194584.959249312 24
 
16.3%
195806.732723093 9
 
6.1%
193310.670771252 8
 
5.4%
195287.766418517 8
 
5.4%
193497.268027569 7
 
4.8%
193139.52394401 5
 
3.4%
195712.452757773 4
 
2.7%
196602.387940718 4
 
2.7%
194211.997213753 4
 
2.7%
193422.545073986 3
 
2.0%
Other values (42) 60
40.8%
(Missing) 11
 
7.5%
ValueCountFrequency (%)
191594.950462144 1
 
0.7%
191948.846964815 1
 
0.7%
192562.973370487 1
 
0.7%
192769.28029699 1
 
0.7%
193132.909486513 1
 
0.7%
193139.52394401 5
3.4%
193310.670771252 8
5.4%
193422.545073986 3
 
2.0%
193495.757756376 1
 
0.7%
193497.268027569 7
4.8%
ValueCountFrequency (%)
197147.394631349 1
 
0.7%
196993.66534559 2
1.4%
196729.625929736 1
 
0.7%
196694.508582738 3
2.0%
196676.681208137 1
 
0.7%
196608.728636866 2
1.4%
196606.081100709 1
 
0.7%
196603.986335415 1
 
0.7%
196603.662669399 1
 
0.7%
196602.387940718 4
2.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct52
Distinct (%)38.2%
Missing11
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean452145.27
Minimum450433.69
Maximum455023.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-30T04:32:35.515958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450433.69
5-th percentile450864.71
Q1451160.41
median451450.24
Q3453366.36
95-th percentile454098.97
Maximum455023.54
Range4589.8514
Interquartile range (IQR)2205.9485

Descriptive statistics

Standard deviation1171.9009
Coefficient of variation (CV)0.0025918681
Kurtosis-0.92131455
Mean452145.27
Median Absolute Deviation (MAD)469.61506
Skewness0.63423946
Sum61491757
Variance1373351.7
MonotonicityNot monotonic
2024-04-30T04:32:35.643180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451381.585492051 24
 
16.3%
451160.409173293 9
 
6.1%
453579.955844676 8
 
5.4%
451143.789306014 8
 
5.4%
453548.783718643 7
 
4.8%
453106.002592232 5
 
3.4%
453396.428410194 4
 
2.7%
451683.338400967 4
 
2.7%
454098.970268002 4
 
2.7%
453356.334097553 3
 
2.0%
Other values (42) 60
40.8%
(Missing) 11
 
7.5%
ValueCountFrequency (%)
450433.691021245 1
 
0.7%
450501.1688616 1
 
0.7%
450629.432880156 3
2.0%
450768.32817524 1
 
0.7%
450822.9621486 1
 
0.7%
450878.624022674 2
1.4%
450950.797605595 1
 
0.7%
450965.132492184 2
1.4%
450974.599119239 1
 
0.7%
451064.229204557 2
1.4%
ValueCountFrequency (%)
455023.542409959 3
 
2.0%
454473.689415011 1
 
0.7%
454098.970268002 4
2.7%
454044.016250777 3
 
2.0%
453751.41310718 1
 
0.7%
453583.534784193 1
 
0.7%
453579.955844676 8
5.4%
453548.783718643 7
4.8%
453421.273012983 2
 
1.4%
453396.428410194 4
2.7%

위생업태명
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
위탁급식영업
117 
<NA>
30 

Length

Max length6
Median length6
Mean length5.5918367
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위탁급식영업 117
79.6%
<NA> 30
 
20.4%

Length

2024-04-30T04:32:35.753418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:32:35.861249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁급식영업 117
79.6%
na 30
 
20.4%

남성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
116 
0
30 
2
 
1

Length

Max length4
Median length4
Mean length3.3673469
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 116
78.9%
0 30
 
20.4%
2 1
 
0.7%

Length

2024-04-30T04:32:35.952870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:32:36.043993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 116
78.9%
0 30
 
20.4%
2 1
 
0.7%

여성종사자수
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
116 
0
28 
23
 
1
9
 
1
8
 
1

Length

Max length4
Median length4
Mean length3.3741497
Min length1

Unique

Unique3 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 116
78.9%
0 28
 
19.0%
23 1
 
0.7%
9 1
 
0.7%
8 1
 
0.7%

Length

2024-04-30T04:32:36.137220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:32:36.237685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 116
78.9%
0 28
 
19.0%
23 1
 
0.7%
9 1
 
0.7%
8 1
 
0.7%

영업장주변구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing145
Missing (%)98.6%
Memory size1.3 KiB
2024-04-30T04:32:36.355957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters16
Distinct characters8
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

Unique0 ?
Unique (%)0.0%

Sample

1st row학교정화(상대)
2nd row학교정화(상대)
ValueCountFrequency (%)
학교정화(상대 2
100.0%
2024-04-30T04:32:36.560034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 2
12.5%
교 2
12.5%
정 2
12.5%
화 2
12.5%
( 2
12.5%
상 2
12.5%
대 2
12.5%
) 2
12.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12
75.0%
Open Punctuation 2
 
12.5%
Close Punctuation 2
 
12.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 2
16.7%
교 2
16.7%
정 2
16.7%
화 2
16.7%
상 2
16.7%
대 2
16.7%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12
75.0%
Common 4
 
25.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 2
16.7%
교 2
16.7%
정 2
16.7%
화 2
16.7%
상 2
16.7%
대 2
16.7%
Common
ValueCountFrequency (%)
( 2
50.0%
) 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12
75.0%
ASCII 4
 
25.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 2
16.7%
교 2
16.7%
정 2
16.7%
화 2
16.7%
상 2
16.7%
대 2
16.7%
ASCII
ValueCountFrequency (%)
( 2
50.0%
) 2
50.0%

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

급수시설구분명
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
125 
상수도전용
22 

Length

Max length5
Median length4
Mean length4.1496599
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> 125
85.0%
상수도전용 22
 
15.0%

Length

2024-04-30T04:32:36.657775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:32:36.735347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 125
85.0%
상수도전용 22
 
15.0%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
137 
0
 
10

Length

Max length4
Median length4
Mean length3.7959184
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> 137
93.2%
0 10
 
6.8%

Length

2024-04-30T04:32:36.825528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:32:36.918803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 137
93.2%
0 10
 
6.8%

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
137 
0
 
10

Length

Max length4
Median length4
Mean length3.7959184
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> 137
93.2%
0 10
 
6.8%

Length

2024-04-30T04:32:37.023236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:32:37.113316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 137
93.2%
0 10
 
6.8%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
137 
0
 
10

Length

Max length4
Median length4
Mean length3.7959184
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> 137
93.2%
0 10
 
6.8%

Length

2024-04-30T04:32:37.212199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:32:37.304398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 137
93.2%
0 10
 
6.8%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
137 
0
 
10

Length

Max length4
Median length4
Mean length3.7959184
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> 137
93.2%
0 10
 
6.8%

Length

2024-04-30T04:32:37.395601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:32:37.487121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 137
93.2%
0 10
 
6.8%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
137 
0
 
10

Length

Max length4
Median length4
Mean length3.7959184
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> 137
93.2%
0 10
 
6.8%

Length

2024-04-30T04:32:37.580642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:32:37.680536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 137
93.2%
0 10
 
6.8%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
137 
0
 
10

Length

Max length4
Median length4
Mean length3.7959184
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> 137
93.2%
0 10
 
6.8%

Length

2024-04-30T04:32:37.774816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:32:37.856912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 137
93.2%
0 10
 
6.8%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
137 
0
 
10

Length

Max length4
Median length4
Mean length3.7959184
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> 137
93.2%
0 10
 
6.8%

Length

2024-04-30T04:32:37.941449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:32:38.023390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 137
93.2%
0 10
 
6.8%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.9%
Missing30
Missing (%)20.4%
Memory size426.0 B
False
117 
(Missing)
30 
ValueCountFrequency (%)
False 117
79.6%
(Missing) 30
 
20.4%
2024-04-30T04:32:38.084554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct72
Distinct (%)61.5%
Missing30
Missing (%)20.4%
Infinite0
Infinite (%)0.0%
Mean350.54359
Minimum0
Maximum3120
Zeros36
Zeros (%)24.5%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-30T04:32:38.173957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median165
Q3470.84
95-th percentile1154.92
Maximum3120
Range3120
Interquartile range (IQR)470.84

Descriptive statistics

Standard deviation537.85809
Coefficient of variation (CV)1.5343544
Kurtosis12.281577
Mean350.54359
Median Absolute Deviation (MAD)165
Skewness3.1268718
Sum41013.6
Variance289291.32
MonotonicityNot monotonic
2024-04-30T04:32:38.287606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 36
24.5%
297.35 2
 
1.4%
121.35 2
 
1.4%
450.0 2
 
1.4%
721.27 2
 
1.4%
185.0 2
 
1.4%
130.0 2
 
1.4%
16.5 2
 
1.4%
76.68 2
 
1.4%
264.0 2
 
1.4%
Other values (62) 63
42.9%
(Missing) 30
20.4%
ValueCountFrequency (%)
0.0 36
24.5%
15.65 1
 
0.7%
16.5 2
 
1.4%
24.0 1
 
0.7%
42.9 1
 
0.7%
45.64 1
 
0.7%
50.0 1
 
0.7%
66.0 1
 
0.7%
76.68 2
 
1.4%
82.64 1
 
0.7%
ValueCountFrequency (%)
3120.0 1
0.7%
2877.11 1
0.7%
2822.0 1
0.7%
1387.9 1
0.7%
1352.0 1
0.7%
1237.0 1
0.7%
1134.4 1
0.7%
970.7 1
0.7%
950.5 1
0.7%
938.69 1
0.7%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing147
Missing (%)100.0%
Memory size1.4 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
031200003120000-120-2003-0000120031010<NA>3폐업2폐업20040517<NA><NA><NA><NA><NA>120863서울특별시 서대문구 홍제동 287-854번지<NA><NA>(주)이씨엠디 노인간호센타2003-10-10 00:00:00I2018-08-31 23:59:59.0위탁급식영업<NA><NA>위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
131200003120000-120-2003-0000220031015<NA>3폐업2폐업20100503<NA><NA><NA><NA><NA>120850서울특별시 서대문구 홍은동 산 11-97번지<NA><NA>아라코(주)정원여중지점2008-07-02 18:41:36I2018-08-31 23:59:59.0위탁급식영업<NA><NA>위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
231200003120000-120-2003-000032003-10-20<NA>1영업/정상1영업<NA><NA><NA><NA>0231453180561.00120-834서울특별시 서대문구 창천동 30-33서울특별시 서대문구 신촌로 83 (창천동)3789(주)현대그린푸드현대백화점신촌점2023-03-20 17:29:06U2022-12-02 22:02:00.0위탁급식영업194265.06764450433.691021<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
331200003120000-120-2003-0000420031020<NA>3폐업2폐업20100226<NA><NA><NA><NA><NA>120844서울특별시 서대문구 홍은동 183번지<NA><NA>(주)미감푸드빌 홍은중학교 급식실2009-01-28 09:33:34I2018-08-31 23:59:59.0위탁급식영업194209.739182454473.689415위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
431200003120000-120-2003-0000520031021<NA>3폐업2폐업20060718<NA><NA><NA><NA><NA>120160서울특별시 서대문구 대신동 20번지<NA><NA>씨제이푸드시스템(주)이화초등점2006-04-20 00:00:00I2018-08-31 23:59:59.0위탁급식영업194863.453388450965.132492위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
531200003120000-120-2003-0000620031021<NA>3폐업2폐업20060817<NA><NA><NA><NA><NA>120818서울특별시 서대문구 북아현동 190-1번지<NA><NA>CJ푸드시스템(주)중앙여중고점2006-04-20 00:00:00I2018-08-31 23:59:59.0위탁급식영업195806.732723451160.409173위탁급식영업00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
631200003120000-120-2003-0000820031022<NA>3폐업2폐업20060804<NA><NA><NA><NA><NA>120140서울특별시 서대문구 신촌동 134번지<NA><NA>씨제이푸드씨스템(주)연세무악학사점2006-04-19 00:00:00I2018-08-31 23:59:59.0위탁급식영업194584.959249451381.585492위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
731200003120000-120-2003-0000920031022<NA>3폐업2폐업20220401<NA><NA><NA><NA>174.00120836서울특별시 서대문구 창천동 493서울특별시 서대문구 연희로 26 (창천동)3784씨제이프레시웨이(주) 동방사회복지회점2022-04-01 10:06:03U2021-12-04 00:03:00.0위탁급식영업193495.757756450974.599119<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
831200003120000-120-2003-0001020031022<NA>1영업/정상1영업<NA><NA><NA><NA><NA>167.28120829서울특별시 서대문구 연희동 87-9서울특별시 서대문구 연희로 142 (연희동)3723씨제이프레시웨이(주)대림통상점2021-04-09 16:07:58U2021-04-11 02:40:00.0위탁급식영업194080.464146451962.863614위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N167.28<NA><NA><NA>
931200003120000-120-2003-0001120031022<NA>3폐업2폐업20100222<NA><NA><NA><NA><NA>120829서울특별시 서대문구 연희동 267-1번지<NA><NA>그린케터링(서연중학교지점)2003-10-22 00:00:00I2018-08-31 23:59:59.0위탁급식영업193535.456268451777.527312위탁급식영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
13731200003120000-120-2022-0000520220525<NA>1영업/정상1영업<NA><NA><NA><NA><NA>60.77120814서울특별시 서대문구 북가좌동 323-1 서부운수(주)서울특별시 서대문구 응암로1길 17, 1층 (북가좌동)3680(주)금강푸드 서부운수2022-05-25 14:03:12I2021-12-04 22:07:00.0위탁급식영업191948.846965453270.051695<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13831200003120000-120-2022-0000720220707<NA>1영업/정상1영업<NA><NA><NA><NA>02 963 7785477.27120749서울특별시 서대문구 신촌동 134 연세대학교서울특별시 서대문구 연세로 50, 연세대학교 무학2학사 학생식당 (신촌동)3722리앤이라마띠네 연세대학생식당2022-07-07 16:51:59I2021-12-06 23:02:00.0위탁급식영업194584.959249451381.585492<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13931200003120000-120-2022-0000820220914<NA>3폐업2폐업20221121<NA><NA><NA><NA>490.00120702서울특별시 서대문구 충정로2가 67-9 경기대학교 학생회관 4층서울특별시 서대문구 경기대로9길 24, 경기대학교 학생회관 4층 (충정로2가)3746푸디스트(주) 경기대서울캠퍼스점2022-11-21 10:41:52U2021-10-31 22:03:00.0위탁급식영업196608.728637451450.239504<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
14031200003120000-120-2022-0000920221122<NA>1영업/정상1영업<NA><NA><NA><NA><NA>407.89120701서울특별시 서대문구 냉천동 31 감리교신학대학서울특별시 서대문구 독립문로 56, 감리교신학대학 장천생활관 2층 (냉천동)3745주식회사 우리푸드 감리교신학대학교점2022-11-22 17:43:43I2021-10-31 22:04:00.0위탁급식영업196602.387941451683.338401<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
14131200003120000-120-2022-0001020221123<NA>1영업/정상1영업<NA><NA><NA><NA><NA>520.47120702서울특별시 서대문구 충정로2가 67-9 경기대학교서울특별시 서대문구 경기대로9길 24, 경기대학교 학생회관 4층 학생식당 (충정로2가)3746경기대학교 학생회관 학생식당2022-11-23 15:42:33I2021-10-31 22:05:00.0위탁급식영업196608.728637451450.239504<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
14231200003120000-120-2023-000012023-07-21<NA>1영업/정상1영업<NA><NA><NA><NA>0221742174320.00120-830서울특별시 서대문구 연희동 194-37 동서한방병원서울특별시 서대문구 성산로 365-14, 동서한방병원 지하1층 (연희동)3726푸디스트(주) 동서한방병원점2023-09-20 10:01:22U2022-12-08 22:02:00.0위탁급식영업193759.805627451374.136886<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
14331200003120000-120-2023-000022023-08-17<NA>1영업/정상1영업<NA><NA><NA><NA>02 3610963367.99120-715서울특별시 서대문구 충정로3가 139 동아일보사건물서울특별시 서대문구 충정로 29, 동아일보사건물 17층 (충정로3가)3737삼성웰스토리(주)동아일보충정로2023-09-20 10:15:54U2022-12-08 22:02:00.0위탁급식영업196694.508583451070.35971<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
14431200003120000-120-2023-000032023-12-28<NA>1영업/정상1영업<NA><NA><NA><NA>02702 4848661.00120-110서울특별시 서대문구 연희동 89-1 한성화교중?고등학교서울특별시 서대문구 연희로 176, 한성화교중?고등학교 급식실 1층 (연희동)3723한성케터링 한성화교중고등학교2023-12-28 14:12:51I2022-11-01 21:00:00.0위탁급식영업194352.676247452212.051577<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
14531200003120000-120-2024-000012024-01-25<NA>1영업/정상1영업<NA><NA><NA><NA><NA>620.00120-801서울특별시 서대문구 남가좌동 50-3 명지대학교서울특별시 서대문구 거북골로 34, 명지대학교 학생회관 2층 및 3층 (남가좌동)3674푸디스트 주식회사 명지대 인문캠퍼스점2024-03-25 11:34:27U2023-12-02 22:07:00.0위탁급식영업193139.523944453106.002592<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
14631200003120000-120-2024-000022024-02-23<NA>1영업/정상1영업<NA><NA><NA><NA>02573 8215364.35120-848서울특별시 서대문구 홍은동 361-30 명지중?고등학교서울특별시 서대문구 명지2길 56, 명지중?고등학교 지하1층 (홍은동)3656가람푸드써비스(주)명지고지점2024-02-23 14:03:13I2023-12-01 22:05:00.0위탁급식영업193497.268028453548.783719<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>