Overview

Dataset statistics

Number of variables6
Number of observations306
Missing cells204
Missing cells (%)11.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.8 KiB
Average record size in memory49.4 B

Variable types

Numeric1
Categorical1
Text4

Dataset

Description인천광역시 남동구 위탁급식영업 현황에 대한 데이터로 업종명, 업소명, 소재지(도로명, 지번주소) 등을 제공합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15113506&srcSe=7661IVAWM27C61E190

Alerts

업종명 has constant value ""Constant
소재지전화 has 204 (66.7%) missing valuesMissing
연번 has unique valuesUnique
업소명 has unique valuesUnique
소재지(도로명) has unique valuesUnique
소재지(지번) has unique valuesUnique

Reproduction

Analysis started2024-04-22 00:37:27.546316
Analysis finished2024-04-22 00:37:28.153808
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct306
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153.5
Minimum1
Maximum306
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-22T09:37:28.225350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16.25
Q177.25
median153.5
Q3229.75
95-th percentile290.75
Maximum306
Range305
Interquartile range (IQR)152.5

Descriptive statistics

Standard deviation88.478811
Coefficient of variation (CV)0.57640919
Kurtosis-1.2
Mean153.5
Median Absolute Deviation (MAD)76.5
Skewness0
Sum46971
Variance7828.5
MonotonicityStrictly increasing
2024-04-22T09:37:28.393833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
203 1
 
0.3%
210 1
 
0.3%
209 1
 
0.3%
208 1
 
0.3%
207 1
 
0.3%
206 1
 
0.3%
205 1
 
0.3%
204 1
 
0.3%
202 1
 
0.3%
Other values (296) 296
96.7%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
306 1
0.3%
305 1
0.3%
304 1
0.3%
303 1
0.3%
302 1
0.3%
301 1
0.3%
300 1
0.3%
299 1
0.3%
298 1
0.3%
297 1
0.3%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
위탁급식영업
306 

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 306
100.0%

Length

2024-04-22T09:37:28.543366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:37:28.634171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁급식영업 306
100.0%

업소명
Text

UNIQUE 

Distinct306
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-04-22T09:37:28.820216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length11.356209
Min length4

Characters and Unicode

Total characters3475
Distinct characters312
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

Unique306 ?
Unique (%)100.0%

Sample

1st row(주)청보산업구내식당(소망푸드)
2nd row(주)현대그린푸드한국씨티은행지점
3rd row(주)비엘푸드에이에프티점
4th row세보금속위탁급식소
5th row성문볼트위탁급식소
ValueCountFrequency (%)
위탁급식소 18
 
4.9%
주)동원홈푸드 5
 
1.4%
구내식당 4
 
1.1%
홈플러스 3
 
0.8%
주)웰스프레쉬 3
 
0.8%
주식회사 2
 
0.5%
주)그린푸드 2
 
0.5%
참푸드시스템 2
 
0.5%
주)아워홈 2
 
0.5%
주)가온 2
 
0.5%
Other values (326) 326
88.3%
2024-04-22T09:37:29.174835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 247
 
7.1%
소 206
 
5.9%
급 205
 
5.9%
위 192
 
5.5%
탁 191
 
5.5%
( 103
 
3.0%
) 103
 
3.0%
스 78
 
2.2%
주 76
 
2.2%
63
 
1.8%
Other values (302) 2011
57.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3192
91.9%
Open Punctuation 103
 
3.0%
Close Punctuation 103
 
3.0%
Space Separator 63
 
1.8%
Decimal Number 8
 
0.2%
Uppercase Letter 5
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 247
 
7.7%
소 206
 
6.5%
급 205
 
6.4%
위 192
 
6.0%
탁 191
 
6.0%
스 78
 
2.4%
주 76
 
2.4%
드 63
 
2.0%
이 61
 
1.9%
푸 57
 
1.8%
Other values (291) 1816
56.9%
Uppercase Letter
ValueCountFrequency (%)
I 1
20.0%
S 1
20.0%
G 1
20.0%
H 1
20.0%
L 1
20.0%
Decimal Number
ValueCountFrequency (%)
2 5
62.5%
1 3
37.5%
Open Punctuation
ValueCountFrequency (%)
( 103
100.0%
Close Punctuation
ValueCountFrequency (%)
) 103
100.0%
Space Separator
ValueCountFrequency (%)
63
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3192
91.9%
Common 278
 
8.0%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 247
 
7.7%
소 206
 
6.5%
급 205
 
6.4%
위 192
 
6.0%
탁 191
 
6.0%
스 78
 
2.4%
주 76
 
2.4%
드 63
 
2.0%
이 61
 
1.9%
푸 57
 
1.8%
Other values (291) 1816
56.9%
Common
ValueCountFrequency (%)
( 103
37.1%
) 103
37.1%
63
22.7%
2 5
 
1.8%
1 3
 
1.1%
- 1
 
0.4%
Latin
ValueCountFrequency (%)
I 1
20.0%
S 1
20.0%
G 1
20.0%
H 1
20.0%
L 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3192
91.9%
ASCII 283
 
8.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 247
 
7.7%
소 206
 
6.5%
급 205
 
6.4%
위 192
 
6.0%
탁 191
 
6.0%
스 78
 
2.4%
주 76
 
2.4%
드 63
 
2.0%
이 61
 
1.9%
푸 57
 
1.8%
Other values (291) 1816
56.9%
ASCII
ValueCountFrequency (%)
( 103
36.4%
) 103
36.4%
63
22.3%
2 5
 
1.8%
1 3
 
1.1%
- 1
 
0.4%
I 1
 
0.4%
S 1
 
0.4%
G 1
 
0.4%
H 1
 
0.4%

소재지(도로명)
Text

UNIQUE 

Distinct306
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-04-22T09:37:29.425287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length44
Mean length37.316993
Min length9

Characters and Unicode

Total characters11419
Distinct characters218
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

Unique306 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 남동대로 208 (고잔동, 71블록 16로트)
2nd row인천광역시 남동구 인주대로 585 (구월동)
3rd row인천광역시 남동구 남동서로 295, 가동 1층 (논현동, 15블록 2로트 )
4th row인천광역시 남동구 은봉로 103, 1층 (논현동, 44B/8L )
5th row인천광역시 남동구 남동서로270번길 84, 1동 1층 (논현동)
ValueCountFrequency (%)
인천광역시 305
 
13.6%
남동구 305
 
13.6%
고잔동 183
 
8.1%
1층 148
 
6.6%
일부호 113
 
5.0%
지하1층 53
 
2.4%
논현동 47
 
2.1%
남촌동 44
 
2.0%
2층 24
 
1.1%
남동서로 23
 
1.0%
Other values (530) 1003
44.6%
2024-04-22T09:37:29.824623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1944
 
17.0%
동 876
 
7.7%
1 537
 
4.7%
남 494
 
4.3%
로 383
 
3.4%
, 358
 
3.1%
구 335
 
2.9%
) 334
 
2.9%
( 334
 
2.9%
인 323
 
2.8%
Other values (208) 5501
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6489
56.8%
Space Separator 1944
 
17.0%
Decimal Number 1871
 
16.4%
Other Punctuation 359
 
3.1%
Close Punctuation 334
 
2.9%
Open Punctuation 334
 
2.9%
Uppercase Letter 61
 
0.5%
Dash Punctuation 25
 
0.2%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 876
 
13.5%
남 494
 
7.6%
로 383
 
5.9%
구 335
 
5.2%
인 323
 
5.0%
천 323
 
5.0%
역 306
 
4.7%
시 306
 
4.7%
광 305
 
4.7%
층 286
 
4.4%
Other values (176) 2552
39.3%
Uppercase Letter
ValueCountFrequency (%)
B 23
37.7%
A 16
26.2%
C 5
 
8.2%
L 4
 
6.6%
D 3
 
4.9%
E 2
 
3.3%
K 1
 
1.6%
T 1
 
1.6%
G 1
 
1.6%
V 1
 
1.6%
Other values (4) 4
 
6.6%
Decimal Number
ValueCountFrequency (%)
1 537
28.7%
3 213
 
11.4%
2 199
 
10.6%
4 184
 
9.8%
5 179
 
9.6%
7 130
 
6.9%
6 129
 
6.9%
9 101
 
5.4%
8 100
 
5.3%
0 99
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 358
99.7%
/ 1
 
0.3%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
1944
100.0%
Close Punctuation
ValueCountFrequency (%)
) 334
100.0%
Open Punctuation
ValueCountFrequency (%)
( 334
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6489
56.8%
Common 4869
42.6%
Latin 61
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 876
 
13.5%
남 494
 
7.6%
로 383
 
5.9%
구 335
 
5.2%
인 323
 
5.0%
천 323
 
5.0%
역 306
 
4.7%
시 306
 
4.7%
광 305
 
4.7%
층 286
 
4.4%
Other values (176) 2552
39.3%
Common
ValueCountFrequency (%)
1944
39.9%
1 537
 
11.0%
, 358
 
7.4%
) 334
 
6.9%
( 334
 
6.9%
3 213
 
4.4%
2 199
 
4.1%
4 184
 
3.8%
5 179
 
3.7%
7 130
 
2.7%
Other values (8) 457
 
9.4%
Latin
ValueCountFrequency (%)
B 23
37.7%
A 16
26.2%
C 5
 
8.2%
L 4
 
6.6%
D 3
 
4.9%
E 2
 
3.3%
K 1
 
1.6%
T 1
 
1.6%
G 1
 
1.6%
V 1
 
1.6%
Other values (4) 4
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6489
56.8%
ASCII 4930
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1944
39.4%
1 537
 
10.9%
, 358
 
7.3%
) 334
 
6.8%
( 334
 
6.8%
3 213
 
4.3%
2 199
 
4.0%
4 184
 
3.7%
5 179
 
3.6%
7 130
 
2.6%
Other values (22) 518
 
10.5%
Hangul
ValueCountFrequency (%)
동 876
 
13.5%
남 494
 
7.6%
로 383
 
5.9%
구 335
 
5.2%
인 323
 
5.0%
천 323
 
5.0%
역 306
 
4.7%
시 306
 
4.7%
광 305
 
4.7%
층 286
 
4.4%
Other values (176) 2552
39.3%

소재지(지번)
Text

UNIQUE 

Distinct306
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-04-22T09:37:30.031949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length38
Mean length29.349673
Min length18

Characters and Unicode

Total characters8981
Distinct characters195
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

Unique306 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 고잔동 640-15 71블록 16로트
2nd row인천광역시 남동구 구월동 1127
3rd row인천광역시 남동구 논현동 423-1 15블록 2로트 가동 1층
4th row인천광역시 남동구 논현동 434-8 44B/8L 1층일부
5th row인천광역시 남동구 논현동 429-6 1층일부 1동
ValueCountFrequency (%)
인천광역시 306
17.2%
남동구 306
17.2%
고잔동 185
 
10.4%
1층일부 49
 
2.8%
1층 48
 
2.7%
논현동 47
 
2.6%
남촌동 45
 
2.5%
지하1층 27
 
1.5%
일부 23
 
1.3%
일부호 21
 
1.2%
Other values (539) 720
40.5%
2024-04-22T09:37:30.375370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1767
19.7%
동 694
 
7.7%
1 509
 
5.7%
남 358
 
4.0%
구 322
 
3.6%
인 314
 
3.5%
천 314
 
3.5%
시 307
 
3.4%
광 306
 
3.4%
역 306
 
3.4%
Other values (185) 3784
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4893
54.5%
Decimal Number 1871
 
20.8%
Space Separator 1767
 
19.7%
Dash Punctuation 270
 
3.0%
Open Punctuation 49
 
0.5%
Close Punctuation 49
 
0.5%
Uppercase Letter 45
 
0.5%
Other Punctuation 37
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 694
14.2%
남 358
 
7.3%
구 322
 
6.6%
인 314
 
6.4%
천 314
 
6.4%
시 307
 
6.3%
광 306
 
6.3%
역 306
 
6.3%
층 226
 
4.6%
고 188
 
3.8%
Other values (159) 1558
31.8%
Decimal Number
ValueCountFrequency (%)
1 509
27.2%
6 279
14.9%
2 185
 
9.9%
4 179
 
9.6%
3 165
 
8.8%
7 159
 
8.5%
5 119
 
6.4%
8 96
 
5.1%
0 92
 
4.9%
9 88
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
B 18
40.0%
A 12
26.7%
C 4
 
8.9%
D 3
 
6.7%
L 3
 
6.7%
T 1
 
2.2%
V 1
 
2.2%
K 1
 
2.2%
G 1
 
2.2%
H 1
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 36
97.3%
/ 1
 
2.7%
Space Separator
ValueCountFrequency (%)
1767
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 270
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4893
54.5%
Common 4043
45.0%
Latin 45
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 694
14.2%
남 358
 
7.3%
구 322
 
6.6%
인 314
 
6.4%
천 314
 
6.4%
시 307
 
6.3%
광 306
 
6.3%
역 306
 
6.3%
층 226
 
4.6%
고 188
 
3.8%
Other values (159) 1558
31.8%
Common
ValueCountFrequency (%)
1767
43.7%
1 509
 
12.6%
6 279
 
6.9%
- 270
 
6.7%
2 185
 
4.6%
4 179
 
4.4%
3 165
 
4.1%
7 159
 
3.9%
5 119
 
2.9%
8 96
 
2.4%
Other values (6) 315
 
7.8%
Latin
ValueCountFrequency (%)
B 18
40.0%
A 12
26.7%
C 4
 
8.9%
D 3
 
6.7%
L 3
 
6.7%
T 1
 
2.2%
V 1
 
2.2%
K 1
 
2.2%
G 1
 
2.2%
H 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4893
54.5%
ASCII 4088
45.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1767
43.2%
1 509
 
12.5%
6 279
 
6.8%
- 270
 
6.6%
2 185
 
4.5%
4 179
 
4.4%
3 165
 
4.0%
7 159
 
3.9%
5 119
 
2.9%
8 96
 
2.3%
Other values (16) 360
 
8.8%
Hangul
ValueCountFrequency (%)
동 694
14.2%
남 358
 
7.3%
구 322
 
6.6%
인 314
 
6.4%
천 314
 
6.4%
시 307
 
6.3%
광 306
 
6.3%
역 306
 
6.3%
층 226
 
4.6%
고 188
 
3.8%
Other values (159) 1558
31.8%

소재지전화
Text

MISSING 

Distinct94
Distinct (%)92.2%
Missing204
Missing (%)66.7%
Memory size2.5 KiB
2024-04-22T09:37:30.606608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.980392
Min length9

Characters and Unicode

Total characters1222
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

Unique90 ?
Unique (%)88.2%

Sample

1st row032-816-3550
2nd row032-420-5870
3rd row032-814-0277
4th row032-816-5629
5th row032-8180-821
ValueCountFrequency (%)
032-814-0277 6
 
5.9%
032-817-5078 2
 
2.0%
032-460-3480 2
 
2.0%
032-812-3900 2
 
2.0%
032-420-2524 1
 
1.0%
032-819-2333 1
 
1.0%
032-361-0662 1
 
1.0%
032-814-5056 1
 
1.0%
032-815-1696 1
 
1.0%
032-814-8331 1
 
1.0%
Other values (84) 84
82.4%
2024-04-22T09:37:30.984121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 203
16.6%
0 181
14.8%
2 163
13.3%
3 145
11.9%
8 116
9.5%
1 98
8.0%
4 68
 
5.6%
7 68
 
5.6%
5 67
 
5.5%
9 57
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1019
83.4%
Dash Punctuation 203
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 181
17.8%
2 163
16.0%
3 145
14.2%
8 116
11.4%
1 98
9.6%
4 68
 
6.7%
7 68
 
6.7%
5 67
 
6.6%
9 57
 
5.6%
6 56
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 203
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1222
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 203
16.6%
0 181
14.8%
2 163
13.3%
3 145
11.9%
8 116
9.5%
1 98
8.0%
4 68
 
5.6%
7 68
 
5.6%
5 67
 
5.5%
9 57
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1222
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 203
16.6%
0 181
14.8%
2 163
13.3%
3 145
11.9%
8 116
9.5%
1 98
8.0%
4 68
 
5.6%
7 68
 
5.6%
5 67
 
5.5%
9 57
 
4.7%

Interactions

2024-04-22T09:37:27.913343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-22T09:37:31.079113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번소재지전화
연번1.0000.000
소재지전화0.0001.000

Missing values

2024-04-22T09:37:28.018808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-22T09:37:28.115214image/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

연번업종명업소명소재지(도로명)소재지(지번)소재지전화
01위탁급식영업(주)청보산업구내식당(소망푸드)인천광역시 남동구 남동대로 208 (고잔동, 71블록 16로트)인천광역시 남동구 고잔동 640-15 71블록 16로트032-816-3550
12위탁급식영업(주)현대그린푸드한국씨티은행지점인천광역시 남동구 인주대로 585 (구월동)인천광역시 남동구 구월동 1127032-420-5870
23위탁급식영업(주)비엘푸드에이에프티점인천광역시 남동구 남동서로 295, 가동 1층 (논현동, 15블록 2로트 )인천광역시 남동구 논현동 423-1 15블록 2로트 가동 1층032-814-0277
34위탁급식영업세보금속위탁급식소인천광역시 남동구 은봉로 103, 1층 (논현동, 44B/8L )인천광역시 남동구 논현동 434-8 44B/8L 1층일부032-816-5629
45위탁급식영업성문볼트위탁급식소인천광역시 남동구 남동서로270번길 84, 1동 1층 (논현동)인천광역시 남동구 논현동 429-6 1층일부 1동<NA>
56위탁급식영업에스디메탈위탁급식소인천광역시 남동구 함박뫼로318번길 43, B동 1층 (논현동)인천광역시 남동구 논현동 432-14 1층일부 19블럭 3로트 B동032-8180-821
67위탁급식영업천일엔지니어링(주)위탁급식소인천광역시 남동구 앵고개로556번길 116, 5층 (고잔동)인천광역시 남동구 고잔동 727-4 5층일부032-521-1101
78위탁급식영업오성에스티급식소인천광역시 남동구 능허대로 745, B동 1층 (고잔동, 159블록 11로트)인천광역시 남동구 고잔동 729-10 B동 1층일부(159블록 11로트)032-819-4840
89위탁급식영업조앤지 위탁급식소인천광역시 남동구 남동서로285번길 31 (논현동, 16블록 5로트)인천광역시 남동구 논현동 427-4 16블록 5로트032-822-9554
910위탁급식영업송도교통위탁급식소(나이스구내식당)인천광역시 남동구 청능대로468번길 12, 1층 (고잔동)인천광역시 남동구 고잔동 246-107 1층032-433-6314
연번업종명업소명소재지(도로명)소재지(지번)소재지전화
296297위탁급식영업푸드하우스 라이쏠점인천광역시 남동구 남동대로 297, 삼창하이텍(주) 2층 일부호 (논현동)인천광역시 남동구 논현동 433-4 삼창하이텍(주) 2층 일부호(구내식당)<NA>
297298위탁급식영업이비테크인천광역시 남동구 남동동로 175, B동 2층 (고잔동)인천광역시 남동구 고잔동 644-8 B동 2층<NA>
298299위탁급식영업화인글로벌랩 위탁급식소인천광역시 남동구 청능대로 359, 5층 일부호 (고잔동)인천광역시 남동구 고잔동 644-11 5층 일부<NA>
299300위탁급식영업참푸드시스템 인천금융고등학교점인천광역시 남동구 함박뫼로 438-9, 인천금융고등학교 1층 (논현동)인천광역시 남동구 논현동 580-2 인천금융고등학교 1층(다목적강당)<NA>
300301위탁급식영업델리코아시아점인천광역시 남동구 남동서로 193, 1층 일부호 (고잔동)인천광역시 남동구 고잔동 626-3 1층 일부<NA>
301302위탁급식영업바른푸드인천광역시 남동구 청능대로 400, 2층 일부호 (고잔동)인천광역시 남동구 고잔동 663-5 2층 일부<NA>
302303위탁급식영업에스씨지그리드 급식소인천광역시 남동구 남동동로33번길 28-22, B동 지하1층 (고잔동, 145블록 6로트)인천광역시 남동구 고잔동 717-7 B동 지하1층일부(145블록 6로트)032-822-9407
303304위탁급식영업예스킨구내식당 이노플렉스점인천광역시 남동구 함박뫼로 340, 4층 일부호 (논현동)인천광역시 남동구 논현동 431-2<NA>
304305위탁급식영업씨제이프레시웨이핌스점인천광역시 남동구 남동동로138번길 15, 3층 일부호 (고잔동)인천광역시 남동구 고잔동 664-18 ,3층 일부호<NA>
305306위탁급식영업에몬스가구 구내식당인천광역시 남동구 논현고잔로 47, 주식회사에몬스가구 공장 2층 일부호 (고잔동)인천광역시 남동구 고잔동 740-2 주식회사에몬스가구 공장 2층 일부<NA>