Overview

Dataset statistics

Number of variables7
Number of observations56
Missing cells31
Missing cells (%)7.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory61.4 B

Variable types

Numeric3
Categorical1
Text3

Dataset

Description인천광역시 미추홀구의 위탁급식영업 현황에 대한 데이터로 연번, 업종명, 업소명, 소재지주소, 위도, 경도 등의 데이터를 제공합니다. (위탁급식: 집단급식소를 설치, 운영하는 자와의 계약에 따라 그 집단급식소에서 음식류를 조리하여 제공하는 영업)
URLhttps://www.data.go.kr/data/15070112/fileData.do

Alerts

업종명 has constant value ""Constant
전화번호 has 31 (55.4%) missing valuesMissing
연번 has unique valuesUnique
업소명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:59:23.312590
Analysis finished2023-12-12 12:59:24.426378
Duration1.11 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.5
Minimum1
Maximum56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2023-12-12T21:59:24.499269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.75
Q114.75
median28.5
Q342.25
95-th percentile53.25
Maximum56
Range55
Interquartile range (IQR)27.5

Descriptive statistics

Standard deviation16.309506
Coefficient of variation (CV)0.57226338
Kurtosis-1.2
Mean28.5
Median Absolute Deviation (MAD)14
Skewness0
Sum1596
Variance266
MonotonicityStrictly increasing
2023-12-12T21:59:24.662744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.8%
30 1
 
1.8%
32 1
 
1.8%
33 1
 
1.8%
34 1
 
1.8%
35 1
 
1.8%
36 1
 
1.8%
37 1
 
1.8%
38 1
 
1.8%
39 1
 
1.8%
Other values (46) 46
82.1%
ValueCountFrequency (%)
1 1
1.8%
2 1
1.8%
3 1
1.8%
4 1
1.8%
5 1
1.8%
6 1
1.8%
7 1
1.8%
8 1
1.8%
9 1
1.8%
10 1
1.8%
ValueCountFrequency (%)
56 1
1.8%
55 1
1.8%
54 1
1.8%
53 1
1.8%
52 1
1.8%
51 1
1.8%
50 1
1.8%
49 1
1.8%
48 1
1.8%
47 1
1.8%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size580.0 B
위탁급식영업
56 

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 56
100.0%

Length

2023-12-12T21:59:24.818429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:59:24.905808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁급식영업 56
100.0%

업소명
Text

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-12T21:59:25.095761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length17.5
Mean length13.571429
Min length3

Characters and Unicode

Total characters760
Distinct characters181
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

Unique56 ?
Unique (%)100.0%

Sample

1st row(주)현대그린푸드 기아차인천AS점
2nd rowCJ프레시웨이 한영넉스점
3rd row(주)모던캐터링 서울엔지니어링점
4th row삼성푸드시스템(경인지방식약청)
5th row(주)리앤이라마띠네 인하공업전문대학식당
ValueCountFrequency (%)
구내식당 5
 
4.8%
주)동원홈푸드 4
 
3.8%
푸디스트(주)인하대학교 4
 
3.8%
cj프레시웨이 3
 
2.9%
홈플러스 2
 
1.9%
주)웰스프레쉬 2
 
1.9%
씨제이프레시웨이 2
 
1.9%
본우리집밥 2
 
1.9%
프린피아점 1
 
1.0%
인천 1
 
1.0%
Other values (78) 78
75.0%
2023-12-12T21:59:25.473765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48
 
6.3%
) 32
 
4.2%
( 32
 
4.2%
점 32
 
4.2%
주 31
 
4.1%
인 22
 
2.9%
이 21
 
2.8%
푸 17
 
2.2%
식 17
 
2.2%
원 16
 
2.1%
Other values (171) 492
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 634
83.4%
Space Separator 48
 
6.3%
Close Punctuation 32
 
4.2%
Open Punctuation 32
 
4.2%
Uppercase Letter 11
 
1.4%
Decimal Number 2
 
0.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 32
 
5.0%
주 31
 
4.9%
인 22
 
3.5%
이 21
 
3.3%
푸 17
 
2.7%
식 17
 
2.7%
원 16
 
2.5%
스 15
 
2.4%
당 13
 
2.1%
드 13
 
2.1%
Other values (159) 437
68.9%
Uppercase Letter
ValueCountFrequency (%)
J 3
27.3%
C 3
27.3%
A 2
18.2%
W 1
 
9.1%
F 1
 
9.1%
S 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 634
83.4%
Common 115
 
15.1%
Latin 11
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 32
 
5.0%
주 31
 
4.9%
인 22
 
3.5%
이 21
 
3.3%
푸 17
 
2.7%
식 17
 
2.7%
원 16
 
2.5%
스 15
 
2.4%
당 13
 
2.1%
드 13
 
2.1%
Other values (159) 437
68.9%
Common
ValueCountFrequency (%)
48
41.7%
) 32
27.8%
( 32
27.8%
. 1
 
0.9%
1 1
 
0.9%
2 1
 
0.9%
Latin
ValueCountFrequency (%)
J 3
27.3%
C 3
27.3%
A 2
18.2%
W 1
 
9.1%
F 1
 
9.1%
S 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 634
83.4%
ASCII 126
 
16.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
48
38.1%
) 32
25.4%
( 32
25.4%
J 3
 
2.4%
C 3
 
2.4%
A 2
 
1.6%
W 1
 
0.8%
F 1
 
0.8%
. 1
 
0.8%
S 1
 
0.8%
Other values (2) 2
 
1.6%
Hangul
ValueCountFrequency (%)
점 32
 
5.0%
주 31
 
4.9%
인 22
 
3.5%
이 21
 
3.3%
푸 17
 
2.7%
식 17
 
2.7%
원 16
 
2.5%
스 15
 
2.4%
당 13
 
2.1%
드 13
 
2.1%
Other values (159) 437
68.9%

소재지주소
Text

Distinct55
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-12T21:59:25.742249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length39
Mean length33.857143
Min length23

Characters and Unicode

Total characters1896
Distinct characters160
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

Unique54 ?
Unique (%)96.4%

Sample

1st row인천광역시 미추홀구 경인로 309, 4층 (도화동)
2nd row인천광역시 미추홀구 길파로71번길 28 (주안동)
3rd row인천광역시 미추홀구 방축로 332 (주안동)
4th row인천광역시 미추홀구 주안로 137 (주안동)
5th row인천광역시 미추홀구 인하로 100 (용현동, 인하전문대학3호관 53동)
ValueCountFrequency (%)
인천광역시 56
 
15.2%
미추홀구 56
 
15.2%
도화동 20
 
5.4%
주안동 20
 
5.4%
학익동 7
 
1.9%
2층 6
 
1.6%
1층 6
 
1.6%
염전로 5
 
1.4%
경인로 5
 
1.4%
석정로 4
 
1.1%
Other values (144) 184
49.9%
2023-12-12T21:59:26.142836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
313
 
16.5%
인 74
 
3.9%
( 64
 
3.4%
천 64
 
3.4%
미 64
 
3.4%
) 64
 
3.4%
동 63
 
3.3%
추 61
 
3.2%
홀 61
 
3.2%
구 58
 
3.1%
Other values (150) 1010
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1159
61.1%
Space Separator 313
 
16.5%
Decimal Number 241
 
12.7%
Open Punctuation 64
 
3.4%
Close Punctuation 64
 
3.4%
Other Punctuation 46
 
2.4%
Uppercase Letter 6
 
0.3%
Dash Punctuation 2
 
0.1%
Connector Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 74
 
6.4%
천 64
 
5.5%
미 64
 
5.5%
동 63
 
5.4%
추 61
 
5.3%
홀 61
 
5.3%
구 58
 
5.0%
시 57
 
4.9%
광 57
 
4.9%
역 56
 
4.8%
Other values (128) 544
46.9%
Decimal Number
ValueCountFrequency (%)
1 51
21.2%
3 40
16.6%
2 31
12.9%
7 24
10.0%
0 23
9.5%
4 17
 
7.1%
5 16
 
6.6%
6 14
 
5.8%
9 13
 
5.4%
8 12
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
A 2
33.3%
W 1
16.7%
M 1
16.7%
D 1
16.7%
F 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 45
97.8%
. 1
 
2.2%
Space Separator
ValueCountFrequency (%)
313
100.0%
Open Punctuation
ValueCountFrequency (%)
( 64
100.0%
Close Punctuation
ValueCountFrequency (%)
) 64
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1159
61.1%
Common 731
38.6%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 74
 
6.4%
천 64
 
5.5%
미 64
 
5.5%
동 63
 
5.4%
추 61
 
5.3%
홀 61
 
5.3%
구 58
 
5.0%
시 57
 
4.9%
광 57
 
4.9%
역 56
 
4.8%
Other values (128) 544
46.9%
Common
ValueCountFrequency (%)
313
42.8%
( 64
 
8.8%
) 64
 
8.8%
1 51
 
7.0%
, 45
 
6.2%
3 40
 
5.5%
2 31
 
4.2%
7 24
 
3.3%
0 23
 
3.1%
4 17
 
2.3%
Other values (7) 59
 
8.1%
Latin
ValueCountFrequency (%)
A 2
33.3%
W 1
16.7%
M 1
16.7%
D 1
16.7%
F 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1159
61.1%
ASCII 737
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
313
42.5%
( 64
 
8.7%
) 64
 
8.7%
1 51
 
6.9%
, 45
 
6.1%
3 40
 
5.4%
2 31
 
4.2%
7 24
 
3.3%
0 23
 
3.1%
4 17
 
2.3%
Other values (12) 65
 
8.8%
Hangul
ValueCountFrequency (%)
인 74
 
6.4%
천 64
 
5.5%
미 64
 
5.5%
동 63
 
5.4%
추 61
 
5.3%
홀 61
 
5.3%
구 58
 
5.0%
시 57
 
4.9%
광 57
 
4.9%
역 56
 
4.8%
Other values (128) 544
46.9%

전화번호
Text

MISSING 

Distinct24
Distinct (%)96.0%
Missing31
Missing (%)55.4%
Memory size580.0 B
2023-12-12T21:59:26.350244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.88
Min length9

Characters and Unicode

Total characters297
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

Unique23 ?
Unique (%)92.0%

Sample

1st row032-540-8413
2nd row032-875-7004
3rd row032-873-6093
4th row032-521-7133
5th row032-867-7131
ValueCountFrequency (%)
031-748-3600 2
 
8.0%
032-1588-8161 1
 
4.0%
032-540-8413 1
 
4.0%
032-260-1129 1
 
4.0%
032-269-3699 1
 
4.0%
1599-7555 1
 
4.0%
02-3019-2255 1
 
4.0%
032-584-7151 1
 
4.0%
032-422-5162 1
 
4.0%
032-862-9162 1
 
4.0%
Other values (14) 14
56.0%
2023-12-12T21:59:26.689338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 49
16.5%
0 44
14.8%
2 39
13.1%
3 36
12.1%
1 24
8.1%
7 23
7.7%
5 20
6.7%
8 19
 
6.4%
6 19
 
6.4%
4 12
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 248
83.5%
Dash Punctuation 49
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 44
17.7%
2 39
15.7%
3 36
14.5%
1 24
9.7%
7 23
9.3%
5 20
8.1%
8 19
7.7%
6 19
7.7%
4 12
 
4.8%
9 12
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 297
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 49
16.5%
0 44
14.8%
2 39
13.1%
3 36
12.1%
1 24
8.1%
7 23
7.7%
5 20
6.7%
8 19
 
6.4%
6 19
 
6.4%
4 12
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 297
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 49
16.5%
0 44
14.8%
2 39
13.1%
3 36
12.1%
1 24
8.1%
7 23
7.7%
5 20
6.7%
8 19
 
6.4%
6 19
 
6.4%
4 12
 
4.0%

위도
Real number (ℝ)

Distinct51
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.464385
Minimum37.436388
Maximum37.482942
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2023-12-12T21:59:26.819038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.436388
5-th percentile37.442867
Q137.456081
median37.467912
Q337.473293
95-th percentile37.480141
Maximum37.482942
Range0.046554076
Interquartile range (IQR)0.017212708

Descriptive statistics

Standard deviation0.012519152
Coefficient of variation (CV)0.00033416142
Kurtosis-0.86739796
Mean37.464385
Median Absolute Deviation (MAD)0.0080067914
Skewness-0.50193298
Sum2098.0056
Variance0.00015672917
MonotonicityNot monotonic
2023-12-12T21:59:26.942240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4514480321002 3
 
5.4%
37.4580182017435 2
 
3.6%
37.447590609113 2
 
3.6%
37.4717635032426 2
 
3.6%
37.4602561051666 1
 
1.8%
37.4758421732461 1
 
1.8%
37.4732556846468 1
 
1.8%
37.4431767814709 1
 
1.8%
37.4779543260014 1
 
1.8%
37.4655868339819 1
 
1.8%
Other values (41) 41
73.2%
ValueCountFrequency (%)
37.4363882908058 1
1.8%
37.4421618747898 1
1.8%
37.4425062298688 1
1.8%
37.4429867226866 1
1.8%
37.4431767814709 1
1.8%
37.4454837448221 1
1.8%
37.4466225962954 1
1.8%
37.4470674411551 1
1.8%
37.447590609113 2
3.6%
37.4509647448093 1
1.8%
ValueCountFrequency (%)
37.4829423666205 1
1.8%
37.4814825752795 1
1.8%
37.480366491364 1
1.8%
37.4800652801252 1
1.8%
37.479913503926 1
1.8%
37.4799025217306 1
1.8%
37.4791941551497 1
1.8%
37.4788217317925 1
1.8%
37.4786262411274 1
1.8%
37.4779543260014 1
1.8%

경도
Real number (ℝ)

Distinct51
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.66835
Minimum126.63626
Maximum126.70152
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2023-12-12T21:59:27.071525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63626
5-th percentile126.64836
Q1126.65896
median126.66916
Q3126.68067
95-th percentile126.68578
Maximum126.70152
Range0.065254812
Interquartile range (IQR)0.021709991

Descriptive statistics

Standard deviation0.013764907
Coefficient of variation (CV)0.00010866887
Kurtosis-0.58811971
Mean126.66835
Median Absolute Deviation (MAD)0.01111472
Skewness-0.11321315
Sum7093.4276
Variance0.00018947265
MonotonicityNot monotonic
2023-12-12T21:59:27.235468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.651542258118 3
 
5.4%
126.681163207516 2
 
3.6%
126.65954194399 2
 
3.6%
126.660644418607 2
 
3.6%
126.675232441422 1
 
1.8%
126.670317872341 1
 
1.8%
126.674815576285 1
 
1.8%
126.669331212547 1
 
1.8%
126.658646653173 1
 
1.8%
126.643508202679 1
 
1.8%
Other values (41) 41
73.2%
ValueCountFrequency (%)
126.636263843825 1
 
1.8%
126.643007135169 1
 
1.8%
126.643508202679 1
 
1.8%
126.649980149662 1
 
1.8%
126.650849261836 1
 
1.8%
126.651542258118 3
5.4%
126.653842782173 1
 
1.8%
126.65387634549 1
 
1.8%
126.655756620395 1
 
1.8%
126.656254961562 1
 
1.8%
ValueCountFrequency (%)
126.701518656221 1
1.8%
126.688334014488 1
1.8%
126.687875643983 1
1.8%
126.685086575596 1
1.8%
126.683770126253 1
1.8%
126.68344463073 1
1.8%
126.683207801705 1
1.8%
126.682730396855 1
1.8%
126.682073060667 1
1.8%
126.681165120112 1
1.8%

Interactions

2023-12-12T21:59:24.036282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:59:23.652251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:59:23.840072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:59:24.110448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:59:23.712602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:59:23.900007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:59:24.180154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:59:23.773767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:59:23.964230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:59:27.324284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명소재지주소전화번호위도경도
연번1.0001.0000.9340.8690.5540.332
업소명1.0001.0001.0001.0001.0001.000
소재지주소0.9341.0001.0001.0001.0001.000
전화번호0.8691.0001.0001.0000.0000.000
위도0.5541.0001.0000.0001.0000.551
경도0.3321.0001.0000.0000.5511.000
2023-12-12T21:59:27.465791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.000-0.0090.064
위도-0.0091.000-0.076
경도0.064-0.0761.000

Missing values

2023-12-12T21:59:24.288299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:59:24.388438image/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

연번업종명업소명소재지주소전화번호위도경도
01위탁급식영업(주)현대그린푸드 기아차인천AS점인천광역시 미추홀구 경인로 309, 4층 (도화동)032-540-841337.460256126.675232
12위탁급식영업CJ프레시웨이 한영넉스점인천광역시 미추홀구 길파로71번길 28 (주안동)032-875-700437.473044126.678696
23위탁급식영업(주)모던캐터링 서울엔지니어링점인천광역시 미추홀구 방축로 332 (주안동)032-873-609337.473406126.67963
34위탁급식영업삼성푸드시스템(경인지방식약청)인천광역시 미추홀구 주안로 137 (주안동)<NA>37.464214126.685087
45위탁급식영업(주)리앤이라마띠네 인하공업전문대학식당인천광역시 미추홀구 인하로 100 (용현동, 인하전문대학3호관 53동)<NA>37.451448126.651542
56위탁급식영업롯데제과(주)기공 주안점인천광역시 미추홀구 염전로333번길 8 (주안동, 수출공단 6단지 롯데알미늄(주) 구내식당)<NA>37.472208126.679155
67위탁급식영업(주)명성에프엠씨 타이거일렉점인천광역시 미추홀구 염전로187번길 33 (주)타이거일렉 3층 (도화동)<NA>37.478626126.663243
78위탁급식영업삼일유통 (주) 케이피 일렉트릭점인천광역시 미추홀구 방축로 328 (주안동)032-521-713337.473627126.67887
89위탁급식영업푸디스트(주)인하대학교 제1생활관점인천광역시 미추홀구 소성로 40 (학익동)<NA>37.446623126.653876
910위탁급식영업푸디스트(주)인하대학교 학생식당점인천광역시 미추홀구 인하로 100 (용현동, 인하대학교 학생회관 2층)<NA>37.451448126.651542
연번업종명업소명소재지주소전화번호위도경도
4647위탁급식영업(주)아워홈 인천사랑병원점인천광역시 미추홀구 미추홀대로 726, 인천사랑병원 14층, 15층 일부 (주안동)<NA>37.462198126.680684
4748위탁급식영업(주)한성케터링 미추홀구청점인천광역시 미추홀구 독정이로 95, 미추홀구청 3층 (숭의동)<NA>37.463477126.64998
4849위탁급식영업조쉐프 구내식당인천광역시 미추홀구 염전로143번길 17, 1층 (도화동)<NA>37.479914126.659064
4950위탁급식영업(주)동원홈푸드 서울이왕병원점인천광역시 미추홀구 미추홀대로 702, 효광빌딩 7층 (주안동)032-269-369937.459962126.680664
5051위탁급식영업(주)동원홈푸드 나우테크점인천광역시 미추홀구 주염로73번길 38 (주)나우테크 1층 (주안동)<NA>37.472924126.68273
5152위탁급식영업CJ프레시웨이 아인여성병원인천광역시 미추홀구 경인로 372, 201동 6층 (주안동, 포레나 미추홀)02-2149-611437.458018126.681163
5253위탁급식영업CJ프레시웨이 아인산후조리원인천광역시 미추홀구 경인로 372, 201동 5층 (주안동, 포레나 미추홀)<NA>37.458018126.681163
5354위탁급식영업밥줄래홈푸드(주)인천광역시 미추홀구 길파로 53 (주)동화상협 2층 (주안동)<NA>37.471471126.679879
5455위탁급식영업자매식당인천광역시 미추홀구 염전로 286, 디엔텍 3층 (도화동)<NA>37.470834126.671314
5556위탁급식영업인천동구지역자활센터(청운대학교학생식당)인천광역시 미추홀구 숙골로 113, 청운대학교 인천캠퍼스 (도화동)<NA>37.471764126.660644