Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory634.8 KiB
Average record size in memory65.0 B

Variable types

Numeric1
Categorical4
Text2

Dataset

Description인천광역시 일반음식점의 업종,업태,업소명,소재지, 영업상태 등에 관한 항목 데이터 정보를 제공 하고 있습니다.
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15048906&srcSe=7661IVAWM27C61E190

Alerts

업종 has constant value ""Constant
영업상태 has constant value ""Constant
연번 is highly overall correlated with 인허가관할기관High correlation
인허가관할기관 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-18 02:16:31.112353
Analysis finished2024-03-18 02:16:32.885285
Duration1.77 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16218.292
Minimum6
Maximum32664
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-18T11:16:32.953732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile1618.55
Q18068.75
median16238
Q324267.75
95-th percentile30965.05
Maximum32664
Range32658
Interquartile range (IQR)16199

Descriptive statistics

Standard deviation9386.4976
Coefficient of variation (CV)0.57875993
Kurtosis-1.1890114
Mean16218.292
Median Absolute Deviation (MAD)8091.5
Skewness0.010385065
Sum1.6218292 × 108
Variance88106337
MonotonicityNot monotonic
2024-03-18T11:16:33.080745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19907 1
 
< 0.1%
6179 1
 
< 0.1%
30421 1
 
< 0.1%
31226 1
 
< 0.1%
20919 1
 
< 0.1%
29218 1
 
< 0.1%
26159 1
 
< 0.1%
14793 1
 
< 0.1%
4751 1
 
< 0.1%
12115 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
6 1
< 0.1%
7 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
18 1
< 0.1%
19 1
< 0.1%
24 1
< 0.1%
25 1
< 0.1%
27 1
< 0.1%
29 1
< 0.1%
ValueCountFrequency (%)
32664 1
< 0.1%
32661 1
< 0.1%
32655 1
< 0.1%
32650 1
< 0.1%
32647 1
< 0.1%
32646 1
< 0.1%
32643 1
< 0.1%
32642 1
< 0.1%
32638 1
< 0.1%
32629 1
< 0.1%

인허가관할기관
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
인천광역시 남동구
1702 
인천광역시 서구
1681 
인천광역시 부평구
1429 
인천광역시 미추홀구
1429 
인천광역시 연수구
1186 
Other values (5)
2573 

Length

Max length10
Median length9
Mean length8.8608
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row인천광역시 부평구
2nd row인천광역시 남동구
3rd row인천광역시 연수구
4th row인천광역시 동구
5th row인천광역시 연수구

Common Values

ValueCountFrequency (%)
인천광역시 남동구 1702
17.0%
인천광역시 서구 1681
16.8%
인천광역시 부평구 1429
14.3%
인천광역시 미추홀구 1429
14.3%
인천광역시 연수구 1186
11.9%
인천광역시 중구 958
9.6%
인천광역시 계양구 780
7.8%
인천광역시 강화군 459
 
4.6%
인천광역시 옹진군 194
 
1.9%
인천광역시 동구 182
 
1.8%

Length

2024-03-18T11:16:33.199574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T11:16:33.326303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 10000
50.0%
남동구 1702
 
8.5%
서구 1681
 
8.4%
부평구 1429
 
7.1%
미추홀구 1429
 
7.1%
연수구 1186
 
5.9%
중구 958
 
4.8%
계양구 780
 
3.9%
강화군 459
 
2.3%
옹진군 194
 
1.0%
Distinct9329
Distinct (%)93.3%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2024-03-18T11:16:33.556929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length31
Mean length6.6327633
Min length1

Characters and Unicode

Total characters66321
Distinct characters1121
Distinct categories14 ?
Distinct scripts5 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8895 ?
Unique (%)89.0%

Sample

1st row가마골
2nd row걸작떡볶이/치킨 인천논현점
3rd row본죽 청학점
4th row수란잔
5th row로스터리스토어(ROASTERY STORE)
ValueCountFrequency (%)
송도점 71
 
0.6%
부평점 51
 
0.4%
청라점 37
 
0.3%
김밥천국 34
 
0.3%
카페 32
 
0.3%
인하대점 28
 
0.2%
영종하늘도시점 28
 
0.2%
연수점 26
 
0.2%
주안점 24
 
0.2%
운서점 21
 
0.2%
Other values (9950) 12381
97.2%
2024-03-18T11:16:33.915457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2736
 
4.1%
2121
 
3.2%
1308
 
2.0%
866
 
1.3%
841
 
1.3%
826
 
1.2%
) 739
 
1.1%
( 739
 
1.1%
705
 
1.1%
689
 
1.0%
Other values (1111) 54751
82.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 58086
87.6%
Space Separator 2736
 
4.1%
Uppercase Letter 1519
 
2.3%
Lowercase Letter 1288
 
1.9%
Decimal Number 940
 
1.4%
Close Punctuation 739
 
1.1%
Open Punctuation 739
 
1.1%
Other Punctuation 254
 
0.4%
Dash Punctuation 11
 
< 0.1%
Letter Number 3
 
< 0.1%
Other values (4) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2121
 
3.7%
1308
 
2.3%
866
 
1.5%
841
 
1.4%
826
 
1.4%
705
 
1.2%
689
 
1.2%
660
 
1.1%
651
 
1.1%
648
 
1.1%
Other values (1027) 48771
84.0%
Lowercase Letter
ValueCountFrequency (%)
e 192
14.9%
o 122
 
9.5%
a 113
 
8.8%
r 87
 
6.8%
i 76
 
5.9%
n 74
 
5.7%
t 68
 
5.3%
l 66
 
5.1%
s 63
 
4.9%
c 57
 
4.4%
Other values (16) 370
28.7%
Uppercase Letter
ValueCountFrequency (%)
O 122
 
8.0%
C 120
 
7.9%
E 115
 
7.6%
A 114
 
7.5%
B 112
 
7.4%
S 94
 
6.2%
T 81
 
5.3%
H 80
 
5.3%
N 72
 
4.7%
M 66
 
4.3%
Other values (16) 543
35.7%
Other Punctuation
ValueCountFrequency (%)
& 133
52.4%
. 43
 
16.9%
, 43
 
16.9%
' 10
 
3.9%
! 7
 
2.8%
· 6
 
2.4%
/ 4
 
1.6%
# 3
 
1.2%
2
 
0.8%
: 1
 
0.4%
Other values (2) 2
 
0.8%
Decimal Number
ValueCountFrequency (%)
1 190
20.2%
2 148
15.7%
0 135
14.4%
9 96
10.2%
3 79
8.4%
8 70
 
7.4%
5 64
 
6.8%
7 58
 
6.2%
4 51
 
5.4%
6 49
 
5.2%
Math Symbol
ValueCountFrequency (%)
+ 2
66.7%
~ 1
33.3%
Space Separator
ValueCountFrequency (%)
2736
100.0%
Close Punctuation
ValueCountFrequency (%)
) 739
100.0%
Open Punctuation
ValueCountFrequency (%)
( 739
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Letter Number
ValueCountFrequency (%)
3
100.0%
Modifier Symbol
ValueCountFrequency (%)
´ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Other Symbol
ValueCountFrequency (%)
° 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 58021
87.5%
Common 5425
 
8.2%
Latin 2810
 
4.2%
Han 61
 
0.1%
Hiragana 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2121
 
3.7%
1308
 
2.3%
866
 
1.5%
841
 
1.4%
826
 
1.4%
705
 
1.2%
689
 
1.2%
660
 
1.1%
651
 
1.1%
648
 
1.1%
Other values (980) 48706
83.9%
Latin
ValueCountFrequency (%)
e 192
 
6.8%
o 122
 
4.3%
O 122
 
4.3%
C 120
 
4.3%
E 115
 
4.1%
A 114
 
4.1%
a 113
 
4.0%
B 112
 
4.0%
S 94
 
3.3%
r 87
 
3.1%
Other values (43) 1619
57.6%
Han
ValueCountFrequency (%)
8
 
13.1%
6
 
9.8%
3
 
4.9%
2
 
3.3%
2
 
3.3%
2
 
3.3%
2
 
3.3%
1
 
1.6%
1
 
1.6%
1
 
1.6%
Other values (33) 33
54.1%
Common
ValueCountFrequency (%)
2736
50.4%
) 739
 
13.6%
( 739
 
13.6%
1 190
 
3.5%
2 148
 
2.7%
0 135
 
2.5%
& 133
 
2.5%
9 96
 
1.8%
3 79
 
1.5%
8 70
 
1.3%
Other values (21) 360
 
6.6%
Hiragana
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 58014
87.5%
ASCII 8222
 
12.4%
CJK 60
 
0.1%
None 10
 
< 0.1%
Compat Jamo 7
 
< 0.1%
Hiragana 4
 
< 0.1%
Number Forms 3
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2736
33.3%
) 739
 
9.0%
( 739
 
9.0%
e 192
 
2.3%
1 190
 
2.3%
2 148
 
1.8%
0 135
 
1.6%
& 133
 
1.6%
o 122
 
1.5%
O 122
 
1.5%
Other values (69) 2966
36.1%
Hangul
ValueCountFrequency (%)
2121
 
3.7%
1308
 
2.3%
866
 
1.5%
841
 
1.4%
826
 
1.4%
705
 
1.2%
689
 
1.2%
660
 
1.1%
651
 
1.1%
648
 
1.1%
Other values (976) 48699
83.9%
CJK
ValueCountFrequency (%)
8
 
13.3%
6
 
10.0%
3
 
5.0%
2
 
3.3%
2
 
3.3%
2
 
3.3%
2
 
3.3%
1
 
1.7%
1
 
1.7%
1
 
1.7%
Other values (32) 32
53.3%
None
ValueCountFrequency (%)
· 6
60.0%
2
 
20.0%
´ 1
 
10.0%
° 1
 
10.0%
Number Forms
ValueCountFrequency (%)
3
100.0%
Compat Jamo
ValueCountFrequency (%)
2
28.6%
2
28.6%
2
28.6%
1
14.3%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%
Hiragana
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반음식점
10000 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 10000
100.0%

Length

2024-03-18T11:16:34.020786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T11:16:34.091038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 10000
100.0%

업태
Categorical

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한식
3902 
기타
1477 
호프/통닭
1328 
식육(숯불구이)
609 
분식
570 
Other values (17)
2114 

Length

Max length15
Median length2
Mean length3.3627
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row분식
2nd row호프/통닭
3rd row한식
4th row한식
5th row한식

Common Values

ValueCountFrequency (%)
한식 3902
39.0%
기타 1477
 
14.8%
호프/통닭 1328
 
13.3%
식육(숯불구이) 609
 
6.1%
분식 570
 
5.7%
중국식 419
 
4.2%
정종/대포집/소주방 403
 
4.0%
경양식 293
 
2.9%
일식 291
 
2.9%
회집 242
 
2.4%
Other values (12) 466
 
4.7%

Length

2024-03-18T11:16:34.172524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 3902
39.0%
기타 1477
 
14.8%
호프/통닭 1328
 
13.3%
식육(숯불구이 609
 
6.1%
분식 570
 
5.7%
중국식 419
 
4.2%
정종/대포집/소주방 403
 
4.0%
경양식 293
 
2.9%
일식 291
 
2.9%
회집 242
 
2.4%
Other values (12) 466
 
4.7%
Distinct9836
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-18T11:16:34.452434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length87
Median length67
Mean length32.7349
Min length7

Characters and Unicode

Total characters327349
Distinct characters604
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9691 ?
Unique (%)96.9%

Sample

1st row인천광역시 부평구 광장로 16(부평동, 지하1층 음식백화점 6,7,8,9호)
2nd row인천광역시 남동구 논고개로 118(양진타워 1층 102호 논현동)
3rd row인천광역시 연수구 용담로 11(상가동 지상1층 113호 청학동, 시대아파트상가)
4th row인천광역시 동구 수문통로 20(송현동,1층)
5th row인천광역시 연수구 한나루로 161-1(1층 일부호 옥련동)
ValueCountFrequency (%)
인천광역시 9997
 
17.7%
남동구 1702
 
3.0%
서구 1679
 
3.0%
부평구 1429
 
2.5%
미추홀구 1428
 
2.5%
연수구 1186
 
2.1%
1층 1124
 
2.0%
중구 958
 
1.7%
일부호 864
 
1.5%
계양구 780
 
1.4%
Other values (11329) 35291
62.5%
2024-03-18T11:16:35.174191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
46466
 
14.2%
1 18346
 
5.6%
12988
 
4.0%
10969
 
3.4%
10577
 
3.2%
10571
 
3.2%
10288
 
3.1%
10117
 
3.1%
10101
 
3.1%
9963
 
3.0%
Other values (594) 176963
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 194929
59.5%
Decimal Number 58812
 
18.0%
Space Separator 46466
 
14.2%
Close Punctuation 9596
 
2.9%
Open Punctuation 9595
 
2.9%
Other Punctuation 4183
 
1.3%
Dash Punctuation 2113
 
0.6%
Uppercase Letter 1372
 
0.4%
Lowercase Letter 151
 
< 0.1%
Math Symbol 118
 
< 0.1%
Other values (3) 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
12988
 
6.7%
10969
 
5.6%
10577
 
5.4%
10571
 
5.4%
10288
 
5.3%
10117
 
5.2%
10101
 
5.2%
9963
 
5.1%
6074
 
3.1%
5218
 
2.7%
Other values (524) 98063
50.3%
Uppercase Letter
ValueCountFrequency (%)
B 290
21.1%
A 195
14.2%
C 131
9.5%
E 95
 
6.9%
S 72
 
5.2%
D 66
 
4.8%
I 61
 
4.4%
T 60
 
4.4%
R 47
 
3.4%
M 47
 
3.4%
Other values (14) 308
22.4%
Lowercase Letter
ValueCountFrequency (%)
e 40
26.5%
s 26
17.2%
a 22
14.6%
r 12
 
7.9%
d 10
 
6.6%
b 8
 
5.3%
k 8
 
5.3%
t 7
 
4.6%
y 7
 
4.6%
c 4
 
2.6%
Other values (6) 7
 
4.6%
Decimal Number
ValueCountFrequency (%)
1 18346
31.2%
2 8324
14.2%
0 6020
 
10.2%
3 5297
 
9.0%
4 4443
 
7.6%
5 3758
 
6.4%
6 3662
 
6.2%
7 3276
 
5.6%
8 2997
 
5.1%
9 2689
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 4133
98.8%
. 19
 
0.5%
' 9
 
0.2%
@ 9
 
0.2%
& 7
 
0.2%
/ 4
 
0.1%
: 1
 
< 0.1%
1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 9595
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 9594
> 99.9%
[ 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
7
63.6%
4
36.4%
Other Symbol
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
46466
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2113
100.0%
Math Symbol
ValueCountFrequency (%)
~ 118
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 194930
59.5%
Common 130885
40.0%
Latin 1534
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
12988
 
6.7%
10969
 
5.6%
10577
 
5.4%
10571
 
5.4%
10288
 
5.3%
10117
 
5.2%
10101
 
5.2%
9963
 
5.1%
6074
 
3.1%
5218
 
2.7%
Other values (525) 98064
50.3%
Latin
ValueCountFrequency (%)
B 290
18.9%
A 195
12.7%
C 131
 
8.5%
E 95
 
6.2%
S 72
 
4.7%
D 66
 
4.3%
I 61
 
4.0%
T 60
 
3.9%
R 47
 
3.1%
M 47
 
3.1%
Other values (32) 470
30.6%
Common
ValueCountFrequency (%)
46466
35.5%
1 18346
 
14.0%
) 9595
 
7.3%
( 9594
 
7.3%
2 8324
 
6.4%
0 6020
 
4.6%
3 5297
 
4.0%
4 4443
 
3.4%
, 4133
 
3.2%
5 3758
 
2.9%
Other values (17) 14909
 
11.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 194910
59.5%
ASCII 132406
40.4%
Compat Jamo 19
 
< 0.1%
Number Forms 11
 
< 0.1%
None 2
 
< 0.1%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
46466
35.1%
1 18346
 
13.9%
) 9595
 
7.2%
( 9594
 
7.2%
2 8324
 
6.3%
0 6020
 
4.5%
3 5297
 
4.0%
4 4443
 
3.4%
, 4133
 
3.1%
5 3758
 
2.8%
Other values (55) 16430
 
12.4%
Hangul
ValueCountFrequency (%)
12988
 
6.7%
10969
 
5.6%
10577
 
5.4%
10571
 
5.4%
10288
 
5.3%
10117
 
5.2%
10101
 
5.2%
9963
 
5.1%
6074
 
3.1%
5218
 
2.7%
Other values (521) 98044
50.3%
Compat Jamo
ValueCountFrequency (%)
17
89.5%
1
 
5.3%
1
 
5.3%
Number Forms
ValueCountFrequency (%)
7
63.6%
4
36.4%
None
ValueCountFrequency (%)
1
50.0%
1
50.0%
CJK Compat
ValueCountFrequency (%)
1
100.0%

영업상태
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
정상
10000 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 10000
100.0%

Length

2024-03-18T11:16:35.308077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T11:16:35.391497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 10000
100.0%

Interactions

2024-03-18T11:16:32.603682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T11:16:35.468503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번인허가관할기관업태
연번1.0000.9750.190
인허가관할기관0.9751.0000.236
업태0.1900.2361.000
2024-03-18T11:16:35.577878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인허가관할기관업태
인허가관할기관1.0000.089
업태0.0891.000
2024-03-18T11:16:35.661529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번인허가관할기관업태
연번1.0000.7240.071
인허가관할기관0.7241.0000.089
업태0.0710.0891.000

Missing values

2024-03-18T11:16:32.710892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T11:16:32.823642image/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

연번인허가관할기관업소명업종업태업소주소영업상태
1990619907인천광역시 부평구가마골일반음식점분식인천광역시 부평구 광장로 16(부평동, 지하1층 음식백화점 6,7,8,9호)정상
1448314484인천광역시 남동구걸작떡볶이/치킨 인천논현점일반음식점호프/통닭인천광역시 남동구 논고개로 118(양진타워 1층 102호 논현동)정상
1188711888인천광역시 연수구본죽 청학점일반음식점한식인천광역시 연수구 용담로 11(상가동 지상1층 113호 청학동, 시대아파트상가)정상
54835484인천광역시 동구수란잔일반음식점한식인천광역시 동구 수문통로 20(송현동,1층)정상
1137211373인천광역시 연수구로스터리스토어(ROASTERY STORE)일반음식점한식인천광역시 연수구 한나루로 161-1(1층 일부호 옥련동)정상
2657426575인천광역시 계양구카페마이일반음식점분식인천광역시 계양구 봉오대로735번길 1(작전동,1층)정상
3247632477인천광역시 서구형제들감자탕 북항점일반음식점한식인천광역시 서구 북항로32번안길 11(203, 204호 원창동)정상
1636516366인천광역시 남동구봄식당일반음식점기타인천광역시 남동구 논현고잔로 22(1층 일부호 논현동)정상
1691616917인천광역시 남동구수미식당일반음식점한식인천광역시 남동구 오봉동로 2(1층 도림동)정상
3249832499인천광역시 서구호미불닭발원당점일반음식점한식인천광역시 서구 원당대로 853(삼정프라자 105호 원당동)정상
연번인허가관할기관업소명업종업태업소주소영업상태
2455324554인천광역시 계양구계양동태탕동태찜일반음식점한식인천광역시 계양구 오조산로57번길 11(계산동,삼성프라자 101, B01호)정상
1991419915인천광역시 부평구가보일반음식점중국식인천광역시 부평구 평천로 394(601호 삼산동)정상
1812018121인천광역시 남동구임청하반점일반음식점중국식인천광역시 남동구 담방로 29(광명아파트상가 1층 115호 만수동)정상
43564357인천광역시 중구장터활어회집일반음식점회집인천광역시 중구 월미문화로 20(2층~옥상층 북성동1가)정상
65546555인천광역시 미추홀구다담푸드일반음식점한식인천광역시 미추홀구 독배로434번길 74(숭의동)정상
2418824189인천광역시 부평구행복일반음식점<NA>인천광역시 부평구 마장로 428(청천동,2층)정상
1400214003인천광역시 연수구하늘채일반음식점호프/통닭인천광역시 연수구 샘말로 26(연수동,2동 지상2층)정상
1807218073인천광역시 남동구인천물텀벙이(육고기)일반음식점식육(숯불구이)인천광역시 남동구 비류대로 809(1층 도림동)정상
61266127인천광역시 미추홀구곱창이야기일반음식점호프/통닭인천광역시 미추홀구 낙섬서로 18(용현동)정상
2304723048인천광역시 부평구장터짜글이순대국뒷고기일반음식점한식인천광역시 부평구 충선로311번길 11-3(삼산동,1층)정상