Overview

Dataset statistics

Number of variables8
Number of observations40
Missing cells39
Missing cells (%)12.2%
Duplicate rows1
Duplicate rows (%)2.5%
Total size in memory2.6 KiB
Average record size in memory67.2 B

Variable types

Text5
Categorical3

Dataset

Description인천광역시 중구 음식경연대회 우수업소에 대한 정보입니다.파일명 인천광역시 중구 음식경연대회우수업소 내용 업소명, 주소, 영업시간 등
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15075002&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 1 (2.5%) duplicate rowsDuplicates
영업시간 has 4 (10.0%) missing valuesMissing
비고 has 35 (87.5%) missing valuesMissing

Reproduction

Analysis started2024-04-21 12:12:13.587438
Analysis finished2024-04-21 12:12:15.074935
Duration1.49 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

Distinct39
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size448.0 B
2024-04-21T21:12:15.669806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7.5
Mean length4.625
Min length2

Characters and Unicode

Total characters185
Distinct characters121
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)95.0%

Sample

1st row신성복집
2nd row꾸지뽕삼계탕
3rd row풍미
4th row달큰철판두루치기
5th row월아천
ValueCountFrequency (%)
장수삼계탕 2
 
4.9%
향원 1
 
2.4%
대풍꽃게맛집 1
 
2.4%
을왕옛날불고기전문 1
 
2.4%
경기호 1
 
2.4%
전주맛집 1
 
2.4%
한옹가 1
 
2.4%
체나콜로 1
 
2.4%
달쭈꾸미 1
 
2.4%
황산샤브샤브 1
 
2.4%
Other values (30) 30
73.2%
2024-04-21T21:12:16.873162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
집 10
 
5.4%
미 5
 
2.7%
회 4
 
2.2%
한 3
 
1.6%
어 3
 
1.6%
이 3
 
1.6%
동 3
 
1.6%
기 3
 
1.6%
장 3
 
1.6%
맛 3
 
1.6%
Other values (111) 145
78.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 183
98.9%
Decimal Number 1
 
0.5%
Space Separator 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
집 10
 
5.5%
미 5
 
2.7%
회 4
 
2.2%
한 3
 
1.6%
어 3
 
1.6%
이 3
 
1.6%
동 3
 
1.6%
기 3
 
1.6%
장 3
 
1.6%
맛 3
 
1.6%
Other values (109) 143
78.1%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 183
98.9%
Common 2
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
집 10
 
5.5%
미 5
 
2.7%
회 4
 
2.2%
한 3
 
1.6%
어 3
 
1.6%
이 3
 
1.6%
동 3
 
1.6%
기 3
 
1.6%
장 3
 
1.6%
맛 3
 
1.6%
Other values (109) 143
78.1%
Common
ValueCountFrequency (%)
2 1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 183
98.9%
ASCII 2
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
집 10
 
5.5%
미 5
 
2.7%
회 4
 
2.2%
한 3
 
1.6%
어 3
 
1.6%
이 3
 
1.6%
동 3
 
1.6%
기 3
 
1.6%
장 3
 
1.6%
맛 3
 
1.6%
Other values (109) 143
78.1%
ASCII
ValueCountFrequency (%)
2 1
50.0%
1
50.0%

주소
Text

Distinct39
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size448.0 B
2024-04-21T21:12:17.966076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length32
Mean length27.4
Min length22

Characters and Unicode

Total characters1096
Distinct characters89
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)95.0%

Sample

1st row인천광역시 중구 인중로63번길 41 (신흥동3가)
2nd row인천광역시 중구 우현로90번길 7 (인현동)
3rd row인천광역시 중구 차이나타운로 56 (선린동)
4th row인천광역시 중구 우현로87번길 5 (인현동)
5th row인천광역시 중구 개항로45번길 12-20 (내동)
ValueCountFrequency (%)
인천광역시 40
18.9%
중구 40
18.9%
항동7가 5
 
2.4%
북성동1가 5
 
2.4%
월미문화로 4
 
1.9%
16 4
 
1.9%
신포동 4
 
1.9%
인현동 4
 
1.9%
연안부두로 4
 
1.9%
개항로 4
 
1.9%
Other values (79) 98
46.2%
2024-04-21T21:12:19.296757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
172
 
15.7%
중 50
 
4.6%
인 45
 
4.1%
시 41
 
3.7%
) 40
 
3.6%
동 40
 
3.6%
( 40
 
3.6%
천 40
 
3.6%
로 40
 
3.6%
구 40
 
3.6%
Other values (79) 548
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 640
58.4%
Decimal Number 173
 
15.8%
Space Separator 172
 
15.7%
Close Punctuation 40
 
3.6%
Open Punctuation 40
 
3.6%
Dash Punctuation 16
 
1.5%
Other Punctuation 14
 
1.3%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 50
 
7.8%
인 45
 
7.0%
시 41
 
6.4%
동 40
 
6.2%
천 40
 
6.2%
로 40
 
6.2%
구 40
 
6.2%
역 40
 
6.2%
광 40
 
6.2%
길 22
 
3.4%
Other values (63) 242
37.8%
Decimal Number
ValueCountFrequency (%)
1 39
22.5%
2 27
15.6%
3 21
12.1%
7 15
 
8.7%
5 14
 
8.1%
0 14
 
8.1%
9 12
 
6.9%
4 11
 
6.4%
6 11
 
6.4%
8 9
 
5.2%
Space Separator
ValueCountFrequency (%)
172
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 640
58.4%
Common 456
41.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 50
 
7.8%
인 45
 
7.0%
시 41
 
6.4%
동 40
 
6.2%
천 40
 
6.2%
로 40
 
6.2%
구 40
 
6.2%
역 40
 
6.2%
광 40
 
6.2%
길 22
 
3.4%
Other values (63) 242
37.8%
Common
ValueCountFrequency (%)
172
37.7%
) 40
 
8.8%
( 40
 
8.8%
1 39
 
8.6%
2 27
 
5.9%
3 21
 
4.6%
- 16
 
3.5%
7 15
 
3.3%
5 14
 
3.1%
, 14
 
3.1%
Other values (6) 58
 
12.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 640
58.4%
ASCII 456
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
172
37.7%
) 40
 
8.8%
( 40
 
8.8%
1 39
 
8.6%
2 27
 
5.9%
3 21
 
4.6%
- 16
 
3.5%
7 15
 
3.3%
5 14
 
3.1%
, 14
 
3.1%
Other values (6) 58
 
12.7%
Hangul
ValueCountFrequency (%)
중 50
 
7.8%
인 45
 
7.0%
시 41
 
6.4%
동 40
 
6.2%
천 40
 
6.2%
로 40
 
6.2%
구 40
 
6.2%
역 40
 
6.2%
광 40
 
6.2%
길 22
 
3.4%
Other values (63) 242
37.8%

영업시간
Text

MISSING 

Distinct25
Distinct (%)69.4%
Missing4
Missing (%)10.0%
Memory size448.0 B
2024-04-21T21:12:19.992121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length11
Mean length12.361111
Min length11

Characters and Unicode

Total characters445
Distinct characters14
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)47.2%

Sample

1st row09:00~22:00
2nd row11:00~21:00
3rd row09:00~21:00
4th row11:30~24:00
5th row11:00~22:00
ValueCountFrequency (%)
11:00~22:00 4
 
11.1%
10:00~22:00 4
 
11.1%
11:00~21:00 2
 
5.6%
10:30~22:00 2
 
5.6%
09:00~21:00 2
 
5.6%
11:00~15:00+17:00~22:00 2
 
5.6%
10:00~10:00 2
 
5.6%
09:00~22:00 2
 
5.6%
08:00~20:00 1
 
2.8%
16:00~04:00 1
 
2.8%
Other values (14) 14
38.9%
2024-04-21T21:12:21.076326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 172
38.7%
: 80
18.0%
1 62
 
13.9%
2 49
 
11.0%
~ 40
 
9.0%
3 15
 
3.4%
9 6
 
1.3%
4 5
 
1.1%
+ 4
 
0.9%
7 4
 
0.9%
Other values (4) 8
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 320
71.9%
Other Punctuation 80
 
18.0%
Math Symbol 44
 
9.9%
Space Separator 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 172
53.8%
1 62
 
19.4%
2 49
 
15.3%
3 15
 
4.7%
9 6
 
1.9%
4 5
 
1.6%
7 4
 
1.2%
8 3
 
0.9%
5 2
 
0.6%
6 2
 
0.6%
Math Symbol
ValueCountFrequency (%)
~ 40
90.9%
+ 4
 
9.1%
Other Punctuation
ValueCountFrequency (%)
: 80
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 445
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 172
38.7%
: 80
18.0%
1 62
 
13.9%
2 49
 
11.0%
~ 40
 
9.0%
3 15
 
3.4%
9 6
 
1.3%
4 5
 
1.1%
+ 4
 
0.9%
7 4
 
0.9%
Other values (4) 8
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 445
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 172
38.7%
: 80
18.0%
1 62
 
13.9%
2 49
 
11.0%
~ 40
 
9.0%
3 15
 
3.4%
9 6
 
1.3%
4 5
 
1.1%
+ 4
 
0.9%
7 4
 
0.9%
Other values (4) 8
 
1.8%

휴무
Categorical

Distinct12
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Memory size448.0 B
연중무휴
19 
명절 당일
7 
일요일
4 
월요일
2 
매월 둘째 주 화요일, 넷째 주 화요일
 
1
Other values (7)
7 

Length

Max length21
Median length19.5
Mean length5.8
Min length3

Unique

Unique8 ?
Unique (%)20.0%

Sample

1st row명절 당일
2nd row일요일
3rd row명절 당일
4th row연중무휴
5th row명절 당일

Common Values

ValueCountFrequency (%)
연중무휴 19
47.5%
명절 당일 7
 
17.5%
일요일 4
 
10.0%
월요일 2
 
5.0%
매월 둘째 주 화요일, 넷째 주 화요일 1
 
2.5%
매월 마지막 주 일요일 1
 
2.5%
목요일은 오후14:00까지만 영업 1
 
2.5%
매월 첫째 주, 셋째 주 월요일 1
 
2.5%
토요일 1
 
2.5%
매월 첫째 주 일요일 1
 
2.5%
Other values (2) 2
 
5.0%

Length

2024-04-21T21:12:21.522486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
연중무휴 19
28.8%
당일 7
 
10.6%
명절 7
 
10.6%
일요일 6
 
9.1%
주 6
 
9.1%
매월 4
 
6.1%
월요일 3
 
4.5%
화요일 2
 
3.0%
첫째 2
 
3.0%
영업 1
 
1.5%
Other values (9) 9
13.6%

주차안내
Categorical

Distinct3
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size448.0 B
가능
23 
불가
10 
공용주차장
7 

Length

Max length5
Median length2
Mean length2.525
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가능
2nd row공용주차장
3rd row불가
4th row불가
5th row공용주차장

Common Values

ValueCountFrequency (%)
가능 23
57.5%
불가 10
25.0%
공용주차장 7
 
17.5%

Length

2024-04-21T21:12:21.945827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T21:12:22.295406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가능 23
57.5%
불가 10
25.0%
공용주차장 7
 
17.5%

전화번호
Text

Distinct39
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size448.0 B
2024-04-21T21:12:23.055918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.15
Min length12

Characters and Unicode

Total characters486
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

Unique38 ?
Unique (%)95.0%

Sample

1st row032-888-1788
2nd row032-777-0085
3rd row032-772-2680
4th row032-764-7797
5th row032-777-8884
ValueCountFrequency (%)
032-764-3009 2
 
5.0%
032-883-0280 1
 
2.5%
032-751-2420 1
 
2.5%
032-461-9587 1
 
2.5%
032-746-7797 1
 
2.5%
032-746-3912 1
 
2.5%
0507-1322-8155 1
 
2.5%
0507-1311-7403 1
 
2.5%
0507-1343-2060 1
 
2.5%
032-773-1081 1
 
2.5%
Other values (29) 29
72.5%
2024-04-21T21:12:24.286834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 80
16.5%
2 66
13.6%
7 65
13.4%
0 61
12.6%
3 57
11.7%
8 51
10.5%
1 29
 
6.0%
5 23
 
4.7%
6 21
 
4.3%
9 17
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 406
83.5%
Dash Punctuation 80
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 66
16.3%
7 65
16.0%
0 61
15.0%
3 57
14.0%
8 51
12.6%
1 29
7.1%
5 23
 
5.7%
6 21
 
5.2%
9 17
 
4.2%
4 16
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 486
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 80
16.5%
2 66
13.6%
7 65
13.4%
0 61
12.6%
3 57
11.7%
8 51
10.5%
1 29
 
6.0%
5 23
 
4.7%
6 21
 
4.3%
9 17
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 486
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 80
16.5%
2 66
13.6%
7 65
13.4%
0 61
12.6%
3 57
11.7%
8 51
10.5%
1 29
 
6.0%
5 23
 
4.7%
6 21
 
4.3%
9 17
 
3.5%

비고
Text

MISSING 

Distinct4
Distinct (%)80.0%
Missing35
Missing (%)87.5%
Memory size448.0 B
2024-04-21T21:12:24.850279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.2
Min length6

Characters and Unicode

Total characters46
Distinct characters16
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

Unique3 ?
Unique (%)60.0%

Sample

1st row예약만 가능
2nd row21:00라스트오더
3rd row21:00라스트오더
4th row20:30라스트오더
5th row20:00라스트오더
ValueCountFrequency (%)
21:00라스트오더 2
33.3%
예약만 1
16.7%
가능 1
16.7%
20:30라스트오더 1
16.7%
20:00라스트오더 1
16.7%
2024-04-21T21:12:25.816093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9
19.6%
2 4
8.7%
: 4
8.7%
라 4
8.7%
스 4
8.7%
트 4
8.7%
오 4
8.7%
더 4
8.7%
1 2
 
4.3%
예 1
 
2.2%
Other values (6) 6
13.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25
54.3%
Decimal Number 16
34.8%
Other Punctuation 4
 
8.7%
Space Separator 1
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
라 4
16.0%
스 4
16.0%
트 4
16.0%
오 4
16.0%
더 4
16.0%
예 1
 
4.0%
약 1
 
4.0%
만 1
 
4.0%
가 1
 
4.0%
능 1
 
4.0%
Decimal Number
ValueCountFrequency (%)
0 9
56.2%
2 4
25.0%
1 2
 
12.5%
3 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
: 4
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25
54.3%
Common 21
45.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
라 4
16.0%
스 4
16.0%
트 4
16.0%
오 4
16.0%
더 4
16.0%
예 1
 
4.0%
약 1
 
4.0%
만 1
 
4.0%
가 1
 
4.0%
능 1
 
4.0%
Common
ValueCountFrequency (%)
0 9
42.9%
2 4
19.0%
: 4
19.0%
1 2
 
9.5%
1
 
4.8%
3 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25
54.3%
ASCII 21
45.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9
42.9%
2 4
19.0%
: 4
19.0%
1 2
 
9.5%
1
 
4.8%
3 1
 
4.8%
Hangul
ValueCountFrequency (%)
라 4
16.0%
스 4
16.0%
트 4
16.0%
오 4
16.0%
더 4
16.0%
예 1
 
4.0%
약 1
 
4.0%
만 1
 
4.0%
가 1
 
4.0%
능 1
 
4.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size448.0 B
2023-08-25
40 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-25
2nd row2023-08-25
3rd row2023-08-25
4th row2023-08-25
5th row2023-08-25

Common Values

ValueCountFrequency (%)
2023-08-25 40
100.0%

Length

2024-04-21T21:12:26.202173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T21:12:26.506622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-25 40
100.0%

Correlations

2024-04-21T21:12:26.701078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명주소영업시간휴무주차안내전화번호비고
업소명1.0001.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.000
영업시간1.0001.0001.0000.6800.8191.0000.913
휴무1.0001.0000.6801.0000.4981.0000.416
주차안내1.0001.0000.8190.4981.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.000
비고1.0001.0000.9130.4161.0001.0001.000
2024-04-21T21:12:26.974841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주차안내휴무
주차안내1.0000.286
휴무0.2861.000
2024-04-21T21:12:27.204437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
휴무주차안내
휴무1.0000.286
주차안내0.2861.000

Missing values

2024-04-21T21:12:14.218993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T21:12:14.625944image/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.
2024-04-21T21:12:14.933338image/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

업소명주소영업시간휴무주차안내전화번호비고데이터기준일자
0신성복집인천광역시 중구 인중로63번길 41 (신흥동3가)09:00~22:00명절 당일가능032-888-1788<NA>2023-08-25
1꾸지뽕삼계탕인천광역시 중구 우현로90번길 7 (인현동)11:00~21:00일요일공용주차장032-777-0085<NA>2023-08-25
2풍미인천광역시 중구 차이나타운로 56 (선린동)09:00~21:00명절 당일불가032-772-2680<NA>2023-08-25
3달큰철판두루치기인천광역시 중구 우현로87번길 5 (인현동)11:30~24:00연중무휴불가032-764-7797<NA>2023-08-25
4월아천인천광역시 중구 개항로45번길 12-20 (내동)11:00~22:00명절 당일공용주차장032-777-8884<NA>2023-08-25
5시골쌈밥인천광역시 중구 우현로35번길 8 (신포동)11:00~22:00일요일공용주차장032-777-0878<NA>2023-08-25
6타카이타이인천광역시 중구 우현로35번길 24-3 (신포동), 2층11:00~22:00연중무휴공용주차장032-765-5576<NA>2023-08-25
7디모니카인천광역시 중구 반달로5번길 18 (북성동1가)12:00~14:00+18:00~21:30연중무휴가능032-773-9723예약만 가능2023-08-25
8향원인천광역시 중구 신포로15번길 6-1 (중앙동4가)11:00~22:00매월 둘째 주 화요일, 넷째 주 화요일가능032-772-1688<NA>2023-08-25
92층다복집인천광역시 중구 연안부두로 16, 2층 207,208,209,209-1,212호 (항동7가, 해양센타)09:00~21:30연중무휴공용주차장032-882-3450<NA>2023-08-25
업소명주소영업시간휴무주차안내전화번호비고데이터기준일자
30원조벤댕이인천광역시 중구 연안부두로 41-1 (항동7가)08:00~20:00월요일가능032-883-0280<NA>2023-08-25
31동경참치인천광역시 중구 신포로23번길 17-1 (중앙동4가)11:30~23:00일요일불가032-763-8889<NA>2023-08-25
32본가낙지와족발인천광역시 중구 운중로 157 (중산동)<NA>연중무휴가능032-752-8788<NA>2023-08-25
33정원한우소머리국밥인천광역시 중구 운중로14번길 16 (운남동)11:00~21:00토요일가능032-751-7798<NA>2023-08-25
34맛고을인천광역시 중구 신포로23번길 33-2 (중앙동3가)09:30~21:00연중무휴불가032-763-9511<NA>2023-08-25
35금촌집인천광역시 중구 우현로90번길 19-1 (인현동)10:30~23:30매월 첫째 주 일요일공용주차장032-772-9324<NA>2023-08-25
36월미도회집인천광역시 중구 월미문화로 49, 2층 (북성동1가)10:00~24:00연중무휴가능032-762-1115<NA>2023-08-25
37신포동집인천광역시 중구 개항로 22 (관동3가)14:00~01:00연중무휴불가032-772-8013<NA>2023-08-25
38개항면인천광역시 중구 개항로 108-1, 1~2층 (경동)11:30~21:0015:30~17:00브레이크타임공용주차장032-773-108120:00라스트오더2023-08-25
39산행인천광역시 중구 도원로7번길 8-1 (선화동)<NA><NA>불가032-888-9812<NA>2023-08-25

Duplicate rows

Most frequently occurring

업소명주소영업시간휴무주차안내전화번호비고데이터기준일자# duplicates
0장수삼계탕인천광역시 중구 개항로 10-1 (중앙동4가, 장수삼계탕)10:00~10:00명절 당일가능032-764-3009<NA>2023-08-252