Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells2
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://www.data.go.kr/data/15048906/fileData.do

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 started2023-12-12 21:31:35.040324
Analysis finished2023-12-12 21:31:36.591966
Duration1.55 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%
Mean16229.208
Minimum4
Maximum32661
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T06:31:36.656749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile1593.6
Q18068.75
median16166
Q324406
95-th percentile30899.05
Maximum32661
Range32657
Interquartile range (IQR)16337.25

Descriptive statistics

Standard deviation9406.5191
Coefficient of variation (CV)0.57960432
Kurtosis-1.2006459
Mean16229.208
Median Absolute Deviation (MAD)8171
Skewness0.0088149386
Sum1.6229208 × 108
Variance88482601
MonotonicityNot monotonic
2023-12-13T06:31:36.787797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20535 1
 
< 0.1%
15263 1
 
< 0.1%
27464 1
 
< 0.1%
31289 1
 
< 0.1%
911 1
 
< 0.1%
30849 1
 
< 0.1%
1665 1
 
< 0.1%
6100 1
 
< 0.1%
4028 1
 
< 0.1%
19669 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
4 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
14 1
< 0.1%
15 1
< 0.1%
16 1
< 0.1%
19 1
< 0.1%
26 1
< 0.1%
ValueCountFrequency (%)
32661 1
< 0.1%
32659 1
< 0.1%
32650 1
< 0.1%
32649 1
< 0.1%
32645 1
< 0.1%
32643 1
< 0.1%
32637 1
< 0.1%
32636 1
< 0.1%
32632 1
< 0.1%
32630 1
< 0.1%

인허가관할기관
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
인천광역시 서구
1719 
인천광역시 남동구
1712 
인천광역시 미추홀구
1450 
인천광역시 부평구
1374 
인천광역시 연수구
1172 
Other values (5)
2573 

Length

Max length10
Median length9
Mean length8.8616
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인천광역시 서구 1719
17.2%
인천광역시 남동구 1712
17.1%
인천광역시 미추홀구 1450
14.5%
인천광역시 부평구 1374
13.7%
인천광역시 연수구 1172
11.7%
인천광역시 중구 914
9.1%
인천광역시 계양구 790
7.9%
인천광역시 강화군 478
 
4.8%
인천광역시 동구 201
 
2.0%
인천광역시 옹진군 190
 
1.9%

Length

2023-12-13T06:31:36.913052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:31:37.035425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 10000
50.0%
서구 1719
 
8.6%
남동구 1712
 
8.6%
미추홀구 1450
 
7.2%
부평구 1374
 
6.9%
연수구 1172
 
5.9%
중구 914
 
4.6%
계양구 790
 
4.0%
강화군 478
 
2.4%
동구 201
 
1.0%

업소명
Text

Distinct9290
Distinct (%)92.9%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-13T06:31:37.304086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length32
Mean length6.5794579
Min length1

Characters and Unicode

Total characters65788
Distinct characters1101
Distinct categories10 ?
Distinct scripts5 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8845 ?
Unique (%)88.5%

Sample

1st row달달한밤
2nd row기꾸스시
3rd row고향회집
4th row정아식당
5th row카페니드
ValueCountFrequency (%)
송도점 71
 
0.6%
청라점 40
 
0.3%
부평점 40
 
0.3%
김밥천국 39
 
0.3%
연수점 30
 
0.2%
주안점 27
 
0.2%
영종하늘도시점 22
 
0.2%
치킨 20
 
0.2%
식당 19
 
0.1%
카페 19
 
0.1%
Other values (9903) 12348
97.4%
2023-12-13T06:31:37.703270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2677
 
4.1%
점 2034
 
3.1%
이 1203
 
1.8%
리 847
 
1.3%
식 809
 
1.2%
스 793
 
1.2%
) 784
 
1.2%
( 783
 
1.2%
치 688
 
1.0%
천 671
 
1.0%
Other values (1091) 54499
82.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 57375
87.2%
Space Separator 2677
 
4.1%
Uppercase Letter 1579
 
2.4%
Lowercase Letter 1422
 
2.2%
Decimal Number 888
 
1.3%
Close Punctuation 787
 
1.2%
Open Punctuation 786
 
1.2%
Other Punctuation 262
 
0.4%
Dash Punctuation 9
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 2034
 
3.5%
이 1203
 
2.1%
리 847
 
1.5%
식 809
 
1.4%
스 793
 
1.4%
치 688
 
1.2%
천 671
 
1.2%
당 665
 
1.2%
인 657
 
1.1%
라 652
 
1.1%
Other values (1011) 48356
84.3%
Uppercase Letter
ValueCountFrequency (%)
O 148
 
9.4%
B 126
 
8.0%
A 124
 
7.9%
E 109
 
6.9%
C 98
 
6.2%
S 89
 
5.6%
R 80
 
5.1%
I 76
 
4.8%
T 67
 
4.2%
N 65
 
4.1%
Other values (16) 597
37.8%
Lowercase Letter
ValueCountFrequency (%)
e 232
16.3%
a 126
 
8.9%
o 120
 
8.4%
r 96
 
6.8%
n 86
 
6.0%
t 84
 
5.9%
i 81
 
5.7%
s 76
 
5.3%
c 59
 
4.1%
l 58
 
4.1%
Other values (15) 404
28.4%
Other Punctuation
ValueCountFrequency (%)
& 137
52.3%
, 45
 
17.2%
. 31
 
11.8%
' 22
 
8.4%
· 14
 
5.3%
# 4
 
1.5%
! 4
 
1.5%
＆ 2
 
0.8%
: 1
 
0.4%
; 1
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 194
21.8%
0 125
14.1%
2 121
13.6%
9 109
12.3%
3 83
9.3%
8 73
 
8.2%
5 56
 
6.3%
6 44
 
5.0%
7 42
 
4.7%
4 41
 
4.6%
Close Punctuation
ValueCountFrequency (%)
) 784
99.6%
] 3
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 783
99.6%
[ 3
 
0.4%
Math Symbol
ValueCountFrequency (%)
~ 2
66.7%
× 1
33.3%
Space Separator
ValueCountFrequency (%)
2677
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 57332
87.1%
Common 5412
 
8.2%
Latin 3001
 
4.6%
Han 39
 
0.1%
Hiragana 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 2034
 
3.5%
이 1203
 
2.1%
리 847
 
1.5%
식 809
 
1.4%
스 793
 
1.4%
치 688
 
1.2%
천 671
 
1.2%
당 665
 
1.2%
인 657
 
1.1%
라 652
 
1.1%
Other values (977) 48313
84.3%
Latin
ValueCountFrequency (%)
e 232
 
7.7%
O 148
 
4.9%
B 126
 
4.2%
a 126
 
4.2%
A 124
 
4.1%
o 120
 
4.0%
E 109
 
3.6%
C 98
 
3.3%
r 96
 
3.2%
S 89
 
3.0%
Other values (41) 1733
57.7%
Han
ValueCountFrequency (%)
愛 3
 
7.7%
家 3
 
7.7%
與 2
 
5.1%
國 2
 
5.1%
常 2
 
5.1%
時 2
 
5.1%
安 2
 
5.1%
站 1
 
2.6%
壘 1
 
2.6%
古 1
 
2.6%
Other values (20) 20
51.3%
Common
ValueCountFrequency (%)
2677
49.5%
) 784
 
14.5%
( 783
 
14.5%
1 194
 
3.6%
& 137
 
2.5%
0 125
 
2.3%
2 121
 
2.2%
9 109
 
2.0%
3 83
 
1.5%
8 73
 
1.3%
Other values (19) 326
 
6.0%
Hiragana
ValueCountFrequency (%)
ゆ 1
25.0%
う 1
25.0%
せ 1
25.0%
ん 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 57330
87.1%
ASCII 8396
 
12.8%
CJK 39
 
0.1%
None 17
 
< 0.1%
Hiragana 4
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2677
31.9%
) 784
 
9.3%
( 783
 
9.3%
e 232
 
2.8%
1 194
 
2.3%
O 148
 
1.8%
& 137
 
1.6%
B 126
 
1.5%
a 126
 
1.5%
0 125
 
1.5%
Other values (67) 3064
36.5%
Hangul
ValueCountFrequency (%)
점 2034
 
3.5%
이 1203
 
2.1%
리 847
 
1.5%
식 809
 
1.4%
스 793
 
1.4%
치 688
 
1.2%
천 671
 
1.2%
당 665
 
1.2%
인 657
 
1.1%
라 652
 
1.1%
Other values (975) 48311
84.3%
None
ValueCountFrequency (%)
· 14
82.4%
＆ 2
 
11.8%
× 1
 
5.9%
CJK
ValueCountFrequency (%)
愛 3
 
7.7%
家 3
 
7.7%
與 2
 
5.1%
國 2
 
5.1%
常 2
 
5.1%
時 2
 
5.1%
安 2
 
5.1%
站 1
 
2.6%
壘 1
 
2.6%
古 1
 
2.6%
Other values (20) 20
51.3%
Compat Jamo
ValueCountFrequency (%)
ㅂ 1
50.0%
ㅁ 1
50.0%
Hiragana
ValueCountFrequency (%)
ゆ 1
25.0%
う 1
25.0%
せ 1
25.0%
ん 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

2023-12-13T06:31:37.821943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:31:37.905374image/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
3837 
기타
1530 
호프/통닭
1338 
식육(숯불구이)
625 
분식
567 
Other values (17)
2103 

Length

Max length15
Median length2
Mean length3.3519
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타
2nd row일식
3rd row회집
4th row한식
5th row기타

Common Values

ValueCountFrequency (%)
한식 3837
38.4%
기타 1530
 
15.3%
호프/통닭 1338
 
13.4%
식육(숯불구이) 625
 
6.2%
분식 567
 
5.7%
중국식 439
 
4.4%
정종/대포집/소주방 377
 
3.8%
경양식 324
 
3.2%
일식 293
 
2.9%
회집 244
 
2.4%
Other values (12) 426
 
4.3%

Length

2023-12-13T06:31:37.995450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 3837
38.4%
기타 1530
 
15.3%
호프/통닭 1338
 
13.4%
식육(숯불구이 625
 
6.2%
분식 567
 
5.7%
중국식 439
 
4.4%
정종/대포집/소주방 377
 
3.8%
경양식 324
 
3.2%
일식 293
 
2.9%
회집 244
 
2.4%
Other values (12) 426
 
4.3%

업소주소
Text

Distinct9809
Distinct (%)98.1%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-13T06:31:38.304004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length86
Median length62
Mean length32.580658
Min length7

Characters and Unicode

Total characters325774
Distinct characters587
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

Unique9641 ?
Unique (%)96.4%

Sample

1st row인천광역시 부평구 부평대로 153(부평구청역대명벨리온 134호 부평동)
2nd row인천광역시 남동구 논고개로 61(라피에스타 1층 128호 논현동)
3rd row인천광역시 연수구 용담로76번길 11(청학동,지상1층)
4th row인천광역시 남동구 문화서로23번길 8(1층 구월동)
5th row인천광역시 서구 중봉대로586번길 22(판매시설에이동 217호 청라동, 청라 엑슬루타워)
ValueCountFrequency (%)
인천광역시 9997
 
17.7%
서구 1719
 
3.1%
남동구 1712
 
3.0%
미추홀구 1448
 
2.6%
부평구 1374
 
2.4%
연수구 1171
 
2.1%
1층 1100
 
2.0%
일부호 920
 
1.6%
중구 914
 
1.6%
계양구 790
 
1.4%
Other values (11158) 35193
62.5%
2023-12-13T06:31:38.823926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
46374
 
14.2%
1 18027
 
5.5%
동 13008
 
4.0%
인 10915
 
3.4%
시 10553
 
3.2%
천 10527
 
3.2%
구 10262
 
3.2%
역 10116
 
3.1%
광 10091
 
3.1%
로 9968
 
3.1%
Other values (577) 175933
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 194220
59.6%
Decimal Number 58206
 
17.9%
Space Separator 46374
 
14.2%
Open Punctuation 9591
 
2.9%
Close Punctuation 9591
 
2.9%
Other Punctuation 4030
 
1.2%
Dash Punctuation 2100
 
0.6%
Uppercase Letter 1416
 
0.4%
Lowercase Letter 126
 
< 0.1%
Math Symbol 108
 
< 0.1%
Other values (3) 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 13008
 
6.7%
인 10915
 
5.6%
시 10553
 
5.4%
천 10527
 
5.4%
구 10262
 
5.3%
역 10116
 
5.2%
광 10091
 
5.2%
로 9968
 
5.1%
층 6012
 
3.1%
호 5233
 
2.7%
Other values (508) 97535
50.2%
Uppercase Letter
ValueCountFrequency (%)
B 311
22.0%
A 195
13.8%
C 129
9.1%
E 95
 
6.7%
S 75
 
5.3%
D 71
 
5.0%
I 64
 
4.5%
T 62
 
4.4%
M 51
 
3.6%
R 50
 
3.5%
Other values (16) 313
22.1%
Lowercase Letter
ValueCountFrequency (%)
e 26
20.6%
a 21
16.7%
s 18
14.3%
t 15
11.9%
y 10
 
7.9%
k 10
 
7.9%
b 9
 
7.1%
c 4
 
3.2%
r 4
 
3.2%
d 3
 
2.4%
Other values (4) 6
 
4.8%
Decimal Number
ValueCountFrequency (%)
1 18027
31.0%
2 8144
14.0%
0 5991
 
10.3%
3 5324
 
9.1%
4 4413
 
7.6%
5 3785
 
6.5%
6 3649
 
6.3%
7 3155
 
5.4%
8 3046
 
5.2%
9 2672
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 3974
98.6%
. 29
 
0.7%
& 9
 
0.2%
@ 7
 
0.2%
＆ 3
 
0.1%
' 3
 
0.1%
/ 3
 
0.1%
: 1
 
< 0.1%
# 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 107
99.1%
+ 1
 
0.9%
Letter Number
ValueCountFrequency (%)
Ⅱ 7
70.0%
Ⅰ 3
30.0%
Space Separator
ValueCountFrequency (%)
46374
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9591
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9591
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2100
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 194220
59.6%
Common 130002
39.9%
Latin 1552
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 13008
 
6.7%
인 10915
 
5.6%
시 10553
 
5.4%
천 10527
 
5.4%
구 10262
 
5.3%
역 10116
 
5.2%
광 10091
 
5.2%
로 9968
 
5.1%
층 6012
 
3.1%
호 5233
 
2.7%
Other values (508) 97535
50.2%
Latin
ValueCountFrequency (%)
B 311
20.0%
A 195
12.6%
C 129
 
8.3%
E 95
 
6.1%
S 75
 
4.8%
D 71
 
4.6%
I 64
 
4.1%
T 62
 
4.0%
M 51
 
3.3%
R 50
 
3.2%
Other values (32) 449
28.9%
Common
ValueCountFrequency (%)
46374
35.7%
1 18027
 
13.9%
( 9591
 
7.4%
) 9591
 
7.4%
2 8144
 
6.3%
0 5991
 
4.6%
3 5324
 
4.1%
4 4413
 
3.4%
, 3974
 
3.1%
5 3785
 
2.9%
Other values (17) 14788
 
11.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 194209
59.6%
ASCII 131540
40.4%
Compat Jamo 11
 
< 0.1%
Number Forms 10
 
< 0.1%
None 3
 
< 0.1%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
46374
35.3%
1 18027
 
13.7%
( 9591
 
7.3%
) 9591
 
7.3%
2 8144
 
6.2%
0 5991
 
4.6%
3 5324
 
4.0%
4 4413
 
3.4%
, 3974
 
3.0%
5 3785
 
2.9%
Other values (55) 16326
 
12.4%
Hangul
ValueCountFrequency (%)
동 13008
 
6.7%
인 10915
 
5.6%
시 10553
 
5.4%
천 10527
 
5.4%
구 10262
 
5.3%
역 10116
 
5.2%
광 10091
 
5.2%
로 9968
 
5.1%
층 6012
 
3.1%
호 5233
 
2.7%
Other values (505) 97524
50.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 9
81.8%
ㅁ 1
 
9.1%
ㅂ 1
 
9.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 7
70.0%
Ⅰ 3
30.0%
None
ValueCountFrequency (%)
＆ 3
100.0%
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

2023-12-13T06:31:38.957966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:31:39.050421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 10000
100.0%

Interactions

2023-12-13T06:31:36.179126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:31:39.111861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번인허가관할기관업태
연번1.0000.9750.191
인허가관할기관0.9751.0000.234
업태0.1910.2341.000
2023-12-13T06:31:39.200476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업태인허가관할기관
업태1.0000.088
인허가관할기관0.0881.000
2023-12-13T06:31:39.294350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번인허가관할기관업태
연번1.0000.7250.072
인허가관할기관0.7251.0000.088
업태0.0720.0881.000

Missing values

2023-12-13T06:31:36.317867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:31:36.429368image/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.
2023-12-13T06:31:36.536540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번인허가관할기관업소명업종업태업소주소영업상태
2053420535인천광역시 부평구달달한밤일반음식점기타인천광역시 부평구 부평대로 153(부평구청역대명벨리온 134호 부평동)정상
1480014801인천광역시 남동구기꾸스시일반음식점일식인천광역시 남동구 논고개로 61(라피에스타 1층 128호 논현동)정상
1069910700인천광역시 연수구고향회집일반음식점회집인천광역시 연수구 용담로76번길 11(청학동,지상1층)정상
1832718328인천광역시 남동구정아식당일반음식점한식인천광역시 남동구 문화서로23번길 8(1층 구월동)정상
3171731718인천광역시 서구카페니드일반음식점기타인천광역시 서구 중봉대로586번길 22(판매시설에이동 217호 청라동, 청라 엑슬루타워)정상
1106611067인천광역시 연수구대구통닭 연수점일반음식점한식인천광역시 연수구 샘말로38번길 16(지상1층 연수동)정상
2185921860인천광역시 부평구샐돈키친일반음식점한식인천광역시 부평구 갈월서로 46(상가동 지층 1호 갈산동, 태화아파트)정상
1872618727인천광역시 남동구청실홍실일반음식점한식인천광역시 남동구 서창남순환로10번길 53(1층 서창동, 한진프라자 제1동)정상
1462414625인천광역시 남동구관교동아구찜아구탕일반음식점탕류(보신용)인천광역시 남동구 문화서로4번길 61-33(1층 구월동)정상
75867587인천광역시 미추홀구복있는김밥일반음식점한식인천광역시 미추홀구 미추홀대로 639-1(주안동)정상
연번인허가관할기관업소명업종업태업소주소영업상태
1842518426인천광역시 남동구좋은날잔치국수일반음식점분식인천광역시 남동구 남촌동로 3(남촌중앙감리교회 1층 일부호 남촌동)정상
58125813인천광역시 미추홀구(어반)마녀 돈 앤 파스타일반음식점경양식인천광역시 미추홀구 독배로492번길 4-1(2층 숭의동)정상
1258612587인천광역시 연수구얌얌브레드 송도점일반음식점경양식인천광역시 연수구 송도미래로 9(비알씨주 연구소 2동 108호 일부호 송도동)정상
98599860인천광역시 미추홀구토라일반음식점기타인천광역시 미추홀구 낙섬서로 40(용현동)정상
73957396인천광역시 미추홀구민물장어숯불구이일반음식점한식인천광역시 미추홀구 신기길15번길 8(주안동)정상
1050310504인천광역시 연수구8블럭일반음식점기타인천광역시 연수구 센트럴로 415(힐스테이트 송도 더테라스 판매시설동 지상1층 179호 송도동)정상
61046105인천광역시 미추홀구골목 식당일반음식점한식인천광역시 미추홀구 능해길 64(102호 용현동)정상
1563815639인천광역시 남동구리틀크레이지피자일반음식점분식인천광역시 남동구 논고개로123번길 35(A133호 논현동, 칼리오페)정상
29993000인천광역시 중구맘모스회센터22호일반음식점일식인천광역시 중구 연안부두로33번길 17(항동7가, 맘모스회센타22호)정상
1632116322인천광역시 남동구복주는쉐프일반음식점한식인천광역시 남동구 문화로 155(구월동, 1층)정상