Overview

Dataset statistics

Number of variables6
Number of observations31
Missing cells20
Missing cells (%)10.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory53.1 B

Variable types

Numeric1
Text4
Categorical1

Dataset

Description인천광역시 계양구에 있는 위탁급식소에 대한 데이터로, 업소명, 도로명 주소, 지번 주소, 전화번호(개인정보보호에 의거 휴대폰번호는 미공개) 등을 제공합니다.
Author인천광역시 계양구
URLhttps://www.data.go.kr/data/15034808/fileData.do

Alerts

기준일자 has constant value ""Constant
소재지전화 has 20 (64.5%) missing valuesMissing
연번 has unique valuesUnique
업소명 has unique valuesUnique
소재지(도로명) has unique valuesUnique
소재지(지번) has unique valuesUnique

Reproduction

Analysis started2024-03-14 12:20:33.457820
Analysis finished2024-03-14 12:20:34.720680
Duration1.26 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size407.0 B
2024-03-14T21:20:34.905466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.5
Q18.5
median16
Q323.5
95-th percentile29.5
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.0921211
Coefficient of variation (CV)0.56825757
Kurtosis-1.2
Mean16
Median Absolute Deviation (MAD)8
Skewness0
Sum496
Variance82.666667
MonotonicityStrictly increasing
2024-03-14T21:20:35.308282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 1
 
3.2%
2 1
 
3.2%
31 1
 
3.2%
30 1
 
3.2%
29 1
 
3.2%
28 1
 
3.2%
27 1
 
3.2%
26 1
 
3.2%
25 1
 
3.2%
24 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
1 1
3.2%
2 1
3.2%
3 1
3.2%
4 1
3.2%
5 1
3.2%
6 1
3.2%
7 1
3.2%
8 1
3.2%
9 1
3.2%
10 1
3.2%
ValueCountFrequency (%)
31 1
3.2%
30 1
3.2%
29 1
3.2%
28 1
3.2%
27 1
3.2%
26 1
3.2%
25 1
3.2%
24 1
3.2%
23 1
3.2%
22 1
3.2%

업소명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size376.0 B
2024-03-14T21:20:36.170084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length14
Mean length12.064516
Min length3

Characters and Unicode

Total characters374
Distinct characters132
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st row롯데마트 계양점
2nd row(주)동원홈푸드 지오영 인천물류센터
3rd row하나식당
4th row계양우체국식당
5th row주식회사 에스피다이닝
ValueCountFrequency (%)
주)동원홈푸드 2
 
4.9%
주식회사 2
 
4.9%
롯데마트 1
 
2.4%
행복후레쉬푸드 1
 
2.4%
인천점 1
 
2.4%
주)예스영푸드(인천교통공사귤현기지 1
 
2.4%
더베스트유원 1
 
2.4%
주)웰스프레쉬(홈플러스계산점 1
 
2.4%
주)웰스프레쉬(홈플러스작전점 1
 
2.4%
지엔비 1
 
2.4%
Other values (29) 29
70.7%
2024-03-14T21:20:37.480281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 20
 
5.3%
( 20
 
5.3%
스 16
 
4.3%
주 13
 
3.5%
드 11
 
2.9%
푸 11
 
2.9%
10
 
2.7%
점 9
 
2.4%
원 9
 
2.4%
인 8
 
2.1%
Other values (122) 247
66.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 324
86.6%
Close Punctuation 20
 
5.3%
Open Punctuation 20
 
5.3%
Space Separator 10
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 16
 
4.9%
주 13
 
4.0%
드 11
 
3.4%
푸 11
 
3.4%
점 9
 
2.8%
원 9
 
2.8%
인 8
 
2.5%
더 7
 
2.2%
아 7
 
2.2%
양 7
 
2.2%
Other values (119) 226
69.8%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 324
86.6%
Common 50
 
13.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 16
 
4.9%
주 13
 
4.0%
드 11
 
3.4%
푸 11
 
3.4%
점 9
 
2.8%
원 9
 
2.8%
인 8
 
2.5%
더 7
 
2.2%
아 7
 
2.2%
양 7
 
2.2%
Other values (119) 226
69.8%
Common
ValueCountFrequency (%)
) 20
40.0%
( 20
40.0%
10
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 324
86.6%
ASCII 50
 
13.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 20
40.0%
( 20
40.0%
10
20.0%
Hangul
ValueCountFrequency (%)
스 16
 
4.9%
주 13
 
4.0%
드 11
 
3.4%
푸 11
 
3.4%
점 9
 
2.8%
원 9
 
2.8%
인 8
 
2.5%
더 7
 
2.2%
아 7
 
2.2%
양 7
 
2.2%
Other values (119) 226
69.8%

소재지(도로명)
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size376.0 B
2024-03-14T21:20:38.559060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length41
Mean length36.83871
Min length9

Characters and Unicode

Total characters1142
Distinct characters138
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

Unique31 ?
Unique (%)100.0%

Sample

1st row인천광역시 계양구 장제로 822, 2층 (계산동, 롯데마트 지하)
2nd row인천광역시 계양구 마장로 537, 4층 (효성동)
3rd row인천광역시 계양구 아나지로248번길 12, 1층 일부호 (효성동)
4th row인천광역시 계양구 계산새로 76 (계산동, 지하1층 일부)
5th row인천광역시 계양구 아나지로 412, 동광기연 2층 일부호 (작전동)
ValueCountFrequency (%)
인천광역시 30
 
12.8%
계양구 30
 
12.8%
일부호 23
 
9.8%
1층 8
 
3.4%
서운동 8
 
3.4%
계산동 8
 
3.4%
작전동 5
 
2.1%
3층 4
 
1.7%
5층 3
 
1.3%
6층 3
 
1.3%
Other values (92) 113
48.1%
2024-03-14T21:20:40.157360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
204
 
17.9%
계 48
 
4.2%
동 38
 
3.3%
양 37
 
3.2%
1 34
 
3.0%
) 33
 
2.9%
( 33
 
2.9%
, 32
 
2.8%
인 32
 
2.8%
광 31
 
2.7%
Other values (128) 620
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 695
60.9%
Space Separator 204
 
17.9%
Decimal Number 125
 
10.9%
Close Punctuation 33
 
2.9%
Open Punctuation 33
 
2.9%
Other Punctuation 32
 
2.8%
Uppercase Letter 17
 
1.5%
Math Symbol 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 48
 
6.9%
동 38
 
5.5%
양 37
 
5.3%
인 32
 
4.6%
광 31
 
4.5%
층 31
 
4.5%
천 30
 
4.3%
로 30
 
4.3%
구 30
 
4.3%
시 30
 
4.3%
Other values (98) 358
51.5%
Uppercase Letter
ValueCountFrequency (%)
E 3
17.6%
L 2
11.8%
P 2
11.8%
C 1
 
5.9%
A 1
 
5.9%
R 1
 
5.9%
S 1
 
5.9%
U 1
 
5.9%
B 1
 
5.9%
H 1
 
5.9%
Other values (3) 3
17.6%
Decimal Number
ValueCountFrequency (%)
1 34
27.2%
2 19
15.2%
5 15
12.0%
7 12
 
9.6%
6 12
 
9.6%
3 11
 
8.8%
8 9
 
7.2%
4 7
 
5.6%
0 4
 
3.2%
9 2
 
1.6%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
< 1
50.0%
Space Separator
ValueCountFrequency (%)
204
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Other Punctuation
ValueCountFrequency (%)
, 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 695
60.9%
Common 430
37.7%
Latin 17
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
계 48
 
6.9%
동 38
 
5.5%
양 37
 
5.3%
인 32
 
4.6%
광 31
 
4.5%
층 31
 
4.5%
천 30
 
4.3%
로 30
 
4.3%
구 30
 
4.3%
시 30
 
4.3%
Other values (98) 358
51.5%
Common
ValueCountFrequency (%)
204
47.4%
1 34
 
7.9%
) 33
 
7.7%
( 33
 
7.7%
, 32
 
7.4%
2 19
 
4.4%
5 15
 
3.5%
7 12
 
2.8%
6 12
 
2.8%
3 11
 
2.6%
Other values (7) 25
 
5.8%
Latin
ValueCountFrequency (%)
E 3
17.6%
L 2
11.8%
P 2
11.8%
C 1
 
5.9%
A 1
 
5.9%
R 1
 
5.9%
S 1
 
5.9%
U 1
 
5.9%
B 1
 
5.9%
H 1
 
5.9%
Other values (3) 3
17.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 695
60.9%
ASCII 447
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
204
45.6%
1 34
 
7.6%
) 33
 
7.4%
( 33
 
7.4%
, 32
 
7.2%
2 19
 
4.3%
5 15
 
3.4%
7 12
 
2.7%
6 12
 
2.7%
3 11
 
2.5%
Other values (20) 42
 
9.4%
Hangul
ValueCountFrequency (%)
계 48
 
6.9%
동 38
 
5.5%
양 37
 
5.3%
인 32
 
4.6%
광 31
 
4.5%
층 31
 
4.5%
천 30
 
4.3%
로 30
 
4.3%
구 30
 
4.3%
시 30
 
4.3%
Other values (98) 358
51.5%

소재지(지번)
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size376.0 B
2024-03-14T21:20:41.156154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length31
Mean length25.935484
Min length18

Characters and Unicode

Total characters804
Distinct characters119
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st row인천광역시 계양구 계산동 1059-1 롯데마트 지하2층
2nd row인천광역시 계양구 효성동 514-1 4층
3rd row인천광역시 계양구 효성동 208-1
4th row인천광역시 계양구 계산동 1078-2 계양우체국 내
5th row인천광역시 계양구 작전동 681-1 동광기연
ValueCountFrequency (%)
인천광역시 31
19.5%
계양구 31
19.5%
계산동 8
 
5.0%
서운동 8
 
5.0%
작전동 5
 
3.1%
효성동 4
 
2.5%
일부호 3
 
1.9%
귤현동 2
 
1.3%
208-1 2
 
1.3%
448-7 1
 
0.6%
Other values (64) 64
40.3%
2024-03-14T21:20:42.248990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
154
19.2%
계 42
 
5.2%
1 36
 
4.5%
양 34
 
4.2%
동 34
 
4.2%
인 33
 
4.1%
광 32
 
4.0%
역 31
 
3.9%
시 31
 
3.9%
구 31
 
3.9%
Other values (109) 346
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 480
59.7%
Space Separator 154
 
19.2%
Decimal Number 131
 
16.3%
Dash Punctuation 23
 
2.9%
Uppercase Letter 9
 
1.1%
Open Punctuation 3
 
0.4%
Close Punctuation 3
 
0.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 42
 
8.8%
양 34
 
7.1%
동 34
 
7.1%
인 33
 
6.9%
광 32
 
6.7%
역 31
 
6.5%
시 31
 
6.5%
구 31
 
6.5%
천 31
 
6.5%
산 9
 
1.9%
Other values (85) 172
35.8%
Decimal Number
ValueCountFrequency (%)
1 36
27.5%
2 23
17.6%
4 11
 
8.4%
8 11
 
8.4%
0 11
 
8.4%
5 10
 
7.6%
7 9
 
6.9%
9 8
 
6.1%
6 7
 
5.3%
3 5
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
H 1
11.1%
O 1
11.1%
M 1
11.1%
E 1
11.1%
L 1
11.1%
U 1
11.1%
S 1
11.1%
P 1
11.1%
D 1
11.1%
Space Separator
ValueCountFrequency (%)
154
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 480
59.7%
Common 315
39.2%
Latin 9
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
계 42
 
8.8%
양 34
 
7.1%
동 34
 
7.1%
인 33
 
6.9%
광 32
 
6.7%
역 31
 
6.5%
시 31
 
6.5%
구 31
 
6.5%
천 31
 
6.5%
산 9
 
1.9%
Other values (85) 172
35.8%
Common
ValueCountFrequency (%)
154
48.9%
1 36
 
11.4%
- 23
 
7.3%
2 23
 
7.3%
4 11
 
3.5%
8 11
 
3.5%
0 11
 
3.5%
5 10
 
3.2%
7 9
 
2.9%
9 8
 
2.5%
Other values (5) 19
 
6.0%
Latin
ValueCountFrequency (%)
H 1
11.1%
O 1
11.1%
M 1
11.1%
E 1
11.1%
L 1
11.1%
U 1
11.1%
S 1
11.1%
P 1
11.1%
D 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 480
59.7%
ASCII 324
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
154
47.5%
1 36
 
11.1%
- 23
 
7.1%
2 23
 
7.1%
4 11
 
3.4%
8 11
 
3.4%
0 11
 
3.4%
5 10
 
3.1%
7 9
 
2.8%
9 8
 
2.5%
Other values (14) 28
 
8.6%
Hangul
ValueCountFrequency (%)
계 42
 
8.8%
양 34
 
7.1%
동 34
 
7.1%
인 33
 
6.9%
광 32
 
6.7%
역 31
 
6.5%
시 31
 
6.5%
구 31
 
6.5%
천 31
 
6.5%
산 9
 
1.9%
Other values (85) 172
35.8%

소재지전화
Text

MISSING 

Distinct10
Distinct (%)90.9%
Missing20
Missing (%)64.5%
Memory size376.0 B
2024-03-14T21:20:42.893359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.818182
Min length11

Characters and Unicode

Total characters130
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

Unique9 ?
Unique (%)81.8%

Sample

1st row02-518-0855
2nd row02-589-3440
3rd row032-578-3304
4th row02-3400-7500
5th row032-549-8049
ValueCountFrequency (%)
031-748-3600 2
18.2%
02-518-0855 1
9.1%
02-589-3440 1
9.1%
032-578-3304 1
9.1%
02-3400-7500 1
9.1%
032-549-8049 1
9.1%
031-281-6085 1
9.1%
042-825-9682 1
9.1%
032-582-3001 1
9.1%
02-3278-8009 1
9.1%
2024-03-14T21:20:43.622813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 28
21.5%
- 22
16.9%
3 14
10.8%
8 14
10.8%
2 13
10.0%
5 10
 
7.7%
4 9
 
6.9%
1 6
 
4.6%
7 5
 
3.8%
9 5
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 108
83.1%
Dash Punctuation 22
 
16.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 28
25.9%
3 14
13.0%
8 14
13.0%
2 13
12.0%
5 10
 
9.3%
4 9
 
8.3%
1 6
 
5.6%
7 5
 
4.6%
9 5
 
4.6%
6 4
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 130
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 28
21.5%
- 22
16.9%
3 14
10.8%
8 14
10.8%
2 13
10.0%
5 10
 
7.7%
4 9
 
6.9%
1 6
 
4.6%
7 5
 
3.8%
9 5
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 130
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 28
21.5%
- 22
16.9%
3 14
10.8%
8 14
10.8%
2 13
10.0%
5 10
 
7.7%
4 9
 
6.9%
1 6
 
4.6%
7 5
 
3.8%
9 5
 
3.8%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size376.0 B
2024-03-07
31 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-07
2nd row2024-03-07
3rd row2024-03-07
4th row2024-03-07
5th row2024-03-07

Common Values

ValueCountFrequency (%)
2024-03-07 31
100.0%

Length

2024-03-14T21:20:43.946208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:20:44.247360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-07 31
100.0%

Interactions

2024-03-14T21:20:33.905640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T21:20:44.430748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명소재지(도로명)소재지(지번)소재지전화
연번1.0001.0001.0001.0001.000
업소명1.0001.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.0001.000
소재지(지번)1.0001.0001.0001.0001.000
소재지전화1.0001.0001.0001.0001.000

Missing values

2024-03-14T21:20:34.236943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T21:20:34.585554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번업소명소재지(도로명)소재지(지번)소재지전화기준일자
01롯데마트 계양점인천광역시 계양구 장제로 822, 2층 (계산동, 롯데마트 지하)인천광역시 계양구 계산동 1059-1 롯데마트 지하2층02-518-08552024-03-07
12(주)동원홈푸드 지오영 인천물류센터인천광역시 계양구 마장로 537, 4층 (효성동)인천광역시 계양구 효성동 514-1 4층02-589-34402024-03-07
23하나식당인천광역시 계양구 아나지로248번길 12, 1층 일부호 (효성동)인천광역시 계양구 효성동 208-1032-578-33042024-03-07
34계양우체국식당인천광역시 계양구 계산새로 76 (계산동, 지하1층 일부)인천광역시 계양구 계산동 1078-2 계양우체국 내<NA>2024-03-07
45주식회사 에스피다이닝인천광역시 계양구 아나지로 412, 동광기연 2층 일부호 (작전동)인천광역시 계양구 작전동 681-1 동광기연<NA>2024-03-07
56(주)풀무원푸드앤컬처흥아기연점인천광역시 계양구 서운산단로1길 65, 3층 일부호 (서운동)인천광역시 계양구 서운동 208-102-3400-75002024-03-07
67앰코테크놀로지코리아(주) 아라마크(주)인천광역시 계양구 아나지로 110, 6층 일부호 (효성동, 엠코테크놀로지코리아)인천광역시 계양구 효성동 516-1 엠코테크놀로지코리아<NA>2024-03-07
78더채움(위탁급식)인천광역시 계양구 계산새로 71, 하이베라스빌딩 D동 8층 일부호 (계산동)인천광역시 계양구 계산동 1062 하이베라스빌딩 D동 8층 일부호<NA>2024-03-07
89더채움(노인요양시설한결)인천광역시 계양구 장제로927번길 4, 병방프라자 3층 일부호 (방축동)인천광역시 계양구 방축동 119 병방프라자<NA>2024-03-07
910헬스앤케어 부평티엠에스인천광역시 계양구 계양대로 188, 대덕노바체 1층 115호 (계산동)인천광역시 계양구 계산동 956-7 대덕노바체032-549-80492024-03-07
연번업소명소재지(도로명)소재지(지번)소재지전화기준일자
2122풀무원푸드앤컬처인천광역시 계양구 서운산단로2길 6, 5층 일부호 (서운동)인천광역시 계양구 서운동 219<NA>2024-03-07
2223행복후레쉬푸드인천광역시 계양구 서운산단로1길 11, 1동 5층 일부호 (서운동)인천광역시 계양구 서운동 218<NA>2024-03-07
2324아라마크씨에스아이엔테크인천광역시 계양구 서운산업로 61, 1층 일부호 (서운동)인천광역시 계양구 서운동 22102-3278-80092024-03-07
2425정우푸드경인여자대학교인천광역시 계양구 계양산로 63, 경인여자대학 B동 지하1층 일부호 (계산동)인천광역시 계양구 계산동 548-4 경인여자대학<NA>2024-03-07
2526상아푸드이노디스점인천광역시 계양구 서운산단로2길 73 (주)이노디스 3층 일부호 (서운동)인천광역시 계양구 서운동 211-2 (주)이노디스<NA>2024-03-07
2627제일풍경채현장식당<REPLACE>인천광역시 계양구 효성동 324-6 가설건축물 1,2층<NA>2024-03-07
2728더채움(가족요양원)인천광역시 계양구 아나지로 258, 7층 일부호 (작전동)인천광역시 계양구 작전동 473-7<NA>2024-03-07
2829주식회사 제이엠푸드인천광역시 계양구 양지로 170, 계양늘푸른요양원 1층 일부호 (귤현동)인천광역시 계양구 귤현동 507-11 계양늘푸른요양원<NA>2024-03-07
2930(주)봄스수라상서울요양원점인천광역시 계양구 장제로 755, 6층 일부호 (계산동)인천광역시 계양구 계산동 1071-2<NA>2024-03-07
3031본우리집밥이마트계양점인천광역시 계양구 봉오대로 785 (주)이마트 지하3층 일부호 (작전동)인천광역시 계양구 작전동 911-1 (주)이마트<NA>2024-03-07