Overview

Dataset statistics

Number of variables8
Number of observations40
Missing cells39
Missing cells (%)12.2%
Duplicate rows3
Duplicate rows (%)7.5%
Total size in memory2.6 KiB
Average record size in memory67.3 B

Variable types

Text5
Categorical3

Dataset

Description인천광역시 중구 음식경연대회 수상업소에 대한 정보입니다.
Author인천광역시
URLhttps://www.incheon.go.kr/data/DATA010201/view?docId=15102771

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 3 (7.5%) duplicate rowsDuplicates
영업시간 has 3 (7.5%) missing valuesMissing
비고 has 36 (90.0%) missing valuesMissing

Reproduction

Analysis started2024-01-28 05:59:02.538418
Analysis finished2024-01-28 05:59:03.117642
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

Distinct37
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-01-28T14:59:03.249354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length4.625
Min length2

Characters and Unicode

Total characters185
Distinct characters117
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)85.0%

Sample

1st row신성복집
2nd row꾸지뽕 삼계탕
3rd row서해회집
4th row맛고을
5th row풍미
ValueCountFrequency (%)
서해회집 2
 
4.8%
맛고을 2
 
4.8%
장수삼계탕 2
 
4.8%
동경참치 1
 
2.4%
마더파더 1
 
2.4%
해저회집 1
 
2.4%
전주맛집 1
 
2.4%
신성복집 1
 
2.4%
체나콜로 1
 
2.4%
미미진 1
 
2.4%
Other values (29) 29
69.0%
2024-01-28T14:59:03.550347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
집 10
 
5.4%
회 5
 
2.7%
미 4
 
2.2%
맛 4
 
2.2%
을 3
 
1.6%
어 3
 
1.6%
한 3
 
1.6%
기 3
 
1.6%
원 3
 
1.6%
골 3
 
1.6%
Other values (107) 144
77.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 183
98.9%
Space Separator 2
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
집 10
 
5.5%
회 5
 
2.7%
미 4
 
2.2%
맛 4
 
2.2%
을 3
 
1.6%
어 3
 
1.6%
한 3
 
1.6%
기 3
 
1.6%
원 3
 
1.6%
골 3
 
1.6%
Other values (106) 142
77.6%
Space Separator
ValueCountFrequency (%)
2
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%
회 5
 
2.7%
미 4
 
2.2%
맛 4
 
2.2%
을 3
 
1.6%
어 3
 
1.6%
한 3
 
1.6%
기 3
 
1.6%
원 3
 
1.6%
골 3
 
1.6%
Other values (106) 142
77.6%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

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

Most frequent character per block

Hangul
ValueCountFrequency (%)
집 10
 
5.5%
회 5
 
2.7%
미 4
 
2.2%
맛 4
 
2.2%
을 3
 
1.6%
어 3
 
1.6%
한 3
 
1.6%
기 3
 
1.6%
원 3
 
1.6%
골 3
 
1.6%
Other values (106) 142
77.6%
ASCII
ValueCountFrequency (%)
2
100.0%

주소
Text

Distinct37
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-01-28T14:59:03.748070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length33
Mean length27.675
Min length22

Characters and Unicode

Total characters1107
Distinct characters86
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)85.0%

Sample

1st row인천광역시 중구 인중로63번길 41 (신흥동3가)
2nd row인천광역시 중구 우현로90번길 7 (인현동)
3rd row인천광역시 중구 월미문화로 23-2 (북성동1가)
4th row인천광역시 중구 신포로23번길 33-2 (중앙동3가)
5th row인천광역시 중구 차이나타운로 56 (선린동)
ValueCountFrequency (%)
인천광역시 40
19.0%
중구 40
19.0%
북성동1가 7
 
3.3%
월미문화로 6
 
2.8%
항동7가 5
 
2.4%
신포동 4
 
1.9%
연안부두로 4
 
1.9%
중앙동4가 4
 
1.9%
16 4
 
1.9%
인현동 4
 
1.9%
Other values (73) 93
44.1%
2024-01-28T14:59:04.066803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
171
 
15.4%
중 51
 
4.6%
인 45
 
4.1%
시 41
 
3.7%
천 40
 
3.6%
) 40
 
3.6%
( 40
 
3.6%
로 40
 
3.6%
동 40
 
3.6%
구 40
 
3.6%
Other values (76) 559
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 652
58.9%
Decimal Number 174
 
15.7%
Space Separator 171
 
15.4%
Close Punctuation 40
 
3.6%
Open Punctuation 40
 
3.6%
Dash Punctuation 17
 
1.5%
Other Punctuation 13
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 51
 
7.8%
인 45
 
6.9%
시 41
 
6.3%
천 40
 
6.1%
로 40
 
6.1%
동 40
 
6.1%
구 40
 
6.1%
역 40
 
6.1%
광 40
 
6.1%
번 22
 
3.4%
Other values (61) 253
38.8%
Decimal Number
ValueCountFrequency (%)
1 38
21.8%
2 29
16.7%
3 26
14.9%
7 15
 
8.6%
5 14
 
8.0%
0 13
 
7.5%
9 11
 
6.3%
6 11
 
6.3%
4 10
 
5.7%
8 7
 
4.0%
Space Separator
ValueCountFrequency (%)
171
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 652
58.9%
Common 455
41.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 51
 
7.8%
인 45
 
6.9%
시 41
 
6.3%
천 40
 
6.1%
로 40
 
6.1%
동 40
 
6.1%
구 40
 
6.1%
역 40
 
6.1%
광 40
 
6.1%
번 22
 
3.4%
Other values (61) 253
38.8%
Common
ValueCountFrequency (%)
171
37.6%
) 40
 
8.8%
( 40
 
8.8%
1 38
 
8.4%
2 29
 
6.4%
3 26
 
5.7%
- 17
 
3.7%
7 15
 
3.3%
5 14
 
3.1%
0 13
 
2.9%
Other values (5) 52
 
11.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 652
58.9%
ASCII 455
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
171
37.6%
) 40
 
8.8%
( 40
 
8.8%
1 38
 
8.4%
2 29
 
6.4%
3 26
 
5.7%
- 17
 
3.7%
7 15
 
3.3%
5 14
 
3.1%
0 13
 
2.9%
Other values (5) 52
 
11.4%
Hangul
ValueCountFrequency (%)
중 51
 
7.8%
인 45
 
6.9%
시 41
 
6.3%
천 40
 
6.1%
로 40
 
6.1%
동 40
 
6.1%
구 40
 
6.1%
역 40
 
6.1%
광 40
 
6.1%
번 22
 
3.4%
Other values (61) 253
38.8%

영업시간
Text

MISSING 

Distinct23
Distinct (%)62.2%
Missing3
Missing (%)7.5%
Memory size452.0 B
2024-01-28T14:59:04.223793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length11
Mean length12.324324
Min length11

Characters and Unicode

Total characters456
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

Unique14 ?
Unique (%)37.8%

Sample

1st row09:00~22:00
2nd row11:00~21:00
3rd row10:00~22:00
4th row09:30~21:00
5th row09:00~21:00
ValueCountFrequency (%)
10:00~22:00 6
16.2%
11:00~22:00 4
 
10.8%
09:00~22:00 2
 
5.4%
10:30~22:00 2
 
5.4%
09:30~21:00 2
 
5.4%
09:00~21:00 2
 
5.4%
11:00~15:00+17:00~22:00 2
 
5.4%
10:00~10:00 2
 
5.4%
11:00~21:00 2
 
5.4%
11:00~22:30 1
 
2.7%
Other values (12) 12
32.4%
2024-01-28T14:59:04.474241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 178
39.0%
: 82
18.0%
1 61
 
13.4%
2 53
 
11.6%
~ 41
 
9.0%
3 15
 
3.3%
9 7
 
1.5%
+ 4
 
0.9%
7 4
 
0.9%
4 3
 
0.7%
Other values (4) 8
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 328
71.9%
Other Punctuation 82
 
18.0%
Math Symbol 45
 
9.9%
Space Separator 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 178
54.3%
1 61
 
18.6%
2 53
 
16.2%
3 15
 
4.6%
9 7
 
2.1%
7 4
 
1.2%
4 3
 
0.9%
8 3
 
0.9%
5 2
 
0.6%
6 2
 
0.6%
Math Symbol
ValueCountFrequency (%)
~ 41
91.1%
+ 4
 
8.9%
Other Punctuation
ValueCountFrequency (%)
: 82
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 456
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 178
39.0%
: 82
18.0%
1 61
 
13.4%
2 53
 
11.6%
~ 41
 
9.0%
3 15
 
3.3%
9 7
 
1.5%
+ 4
 
0.9%
7 4
 
0.9%
4 3
 
0.7%
Other values (4) 8
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 456
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 178
39.0%
: 82
18.0%
1 61
 
13.4%
2 53
 
11.6%
~ 41
 
9.0%
3 15
 
3.3%
9 7
 
1.5%
+ 4
 
0.9%
7 4
 
0.9%
4 3
 
0.7%
Other values (4) 8
 
1.8%

휴무
Categorical

Distinct11
Distinct (%)27.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
연중무휴
20 
명절 당일
7 
일요일
4 
월요일
 
2
화요일+우천시
 
1
Other values (6)
6 

Length

Max length21
Median length19.5
Mean length5.55
Min length3

Unique

Unique7 ?
Unique (%)17.5%

Sample

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

Common Values

ValueCountFrequency (%)
연중무휴 20
50.0%
명절 당일 7
 
17.5%
일요일 4
 
10.0%
월요일 2
 
5.0%
화요일+우천시 1
 
2.5%
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%

Length

2024-01-28T14:59:04.598290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
연중무휴 20
30.3%
당일 7
 
10.6%
명절 7
 
10.6%
주 6
 
9.1%
일요일 6
 
9.1%
매월 4
 
6.1%
월요일 3
 
4.5%
첫째 2
 
3.0%
화요일 2
 
3.0%
둘째 1
 
1.5%
Other values (8) 8
 
12.1%

주차안내
Categorical

Distinct3
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
가능
24 
불가
9 
공용주차장
7 

Length

Max length5
Median length2
Mean length2.525
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가능 24
60.0%
불가 9
 
22.5%
공용주차장 7
 
17.5%

Length

2024-01-28T14:59:04.707110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T14:59:04.795293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가능 24
60.0%
불가 9
 
22.5%
공용주차장 7
 
17.5%

전화번호
Text

Distinct37
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-01-28T14:59:04.963924image/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

Unique34 ?
Unique (%)85.0%

Sample

1st row032-888-1788
2nd row032-777-0085
3rd row032-772-1109
4th row032-763-9511
5th row032-772-2680
ValueCountFrequency (%)
032-772-1109 2
 
5.0%
032-763-9511 2
 
5.0%
032-764-3009 2
 
5.0%
032-763-8889 1
 
2.5%
032-883-0280 1
 
2.5%
032-888-5353 1
 
2.5%
0507-1343-2060 1
 
2.5%
032-888-4710 1
 
2.5%
0507-1311-7403 1
 
2.5%
032-762-1232 1
 
2.5%
Other values (27) 27
67.5%
2024-01-28T14:59:05.250222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 80
16.5%
7 67
13.8%
2 65
13.4%
0 61
12.6%
3 59
12.1%
8 45
9.3%
1 30
 
6.2%
5 23
 
4.7%
6 21
 
4.3%
9 19
 
3.9%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 67
16.5%
2 65
16.0%
0 61
15.0%
3 59
14.5%
8 45
11.1%
1 30
7.4%
5 23
 
5.7%
6 21
 
5.2%
9 19
 
4.7%
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%
7 67
13.8%
2 65
13.4%
0 61
12.6%
3 59
12.1%
8 45
9.3%
1 30
 
6.2%
5 23
 
4.7%
6 21
 
4.3%
9 19
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 486
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 80
16.5%
7 67
13.8%
2 65
13.4%
0 61
12.6%
3 59
12.1%
8 45
9.3%
1 30
 
6.2%
5 23
 
4.7%
6 21
 
4.3%
9 19
 
3.9%

비고
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing36
Missing (%)90.0%
Memory size452.0 B
2024-01-28T14:59:05.379371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9
Min length6

Characters and Unicode

Total characters36
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

Unique2 ?
Unique (%)50.0%

Sample

1st row예약만 가능
2nd row21:00라스트오더
3rd row21:00라스트오더
4th row20:30라스트오더
ValueCountFrequency (%)
21:00라스트오더 2
40.0%
예약만 1
20.0%
가능 1
20.0%
20:30라스트오더 1
20.0%
2024-01-28T14:59:05.630173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6
16.7%
2 3
8.3%
: 3
8.3%
라 3
8.3%
스 3
8.3%
트 3
8.3%
오 3
8.3%
더 3
8.3%
1 2
 
5.6%
예 1
 
2.8%
Other values (6) 6
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20
55.6%
Decimal Number 12
33.3%
Other Punctuation 3
 
8.3%
Space Separator 1
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
라 3
15.0%
스 3
15.0%
트 3
15.0%
오 3
15.0%
더 3
15.0%
예 1
 
5.0%
약 1
 
5.0%
만 1
 
5.0%
가 1
 
5.0%
능 1
 
5.0%
Decimal Number
ValueCountFrequency (%)
0 6
50.0%
2 3
25.0%
1 2
 
16.7%
3 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
: 3
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20
55.6%
Common 16
44.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
라 3
15.0%
스 3
15.0%
트 3
15.0%
오 3
15.0%
더 3
15.0%
예 1
 
5.0%
약 1
 
5.0%
만 1
 
5.0%
가 1
 
5.0%
능 1
 
5.0%
Common
ValueCountFrequency (%)
0 6
37.5%
2 3
18.8%
: 3
18.8%
1 2
 
12.5%
1
 
6.2%
3 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20
55.6%
ASCII 16
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6
37.5%
2 3
18.8%
: 3
18.8%
1 2
 
12.5%
1
 
6.2%
3 1
 
6.2%
Hangul
ValueCountFrequency (%)
라 3
15.0%
스 3
15.0%
트 3
15.0%
오 3
15.0%
더 3
15.0%
예 1
 
5.0%
약 1
 
5.0%
만 1
 
5.0%
가 1
 
5.0%
능 1
 
5.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2022-08-12
40 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-08-12
2nd row2022-08-12
3rd row2022-08-12
4th row2022-08-12
5th row2022-08-12

Common Values

ValueCountFrequency (%)
2022-08-12 40
100.0%

Length

2024-01-28T14:59:05.731826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T14:59:05.808624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-08-12 40
100.0%

Correlations

2024-01-28T14:59:05.863828image/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
영업시간1.0001.0001.0000.8250.8721.0000.827
휴무1.0001.0000.8251.0000.5101.0000.000
주차안내1.0001.0000.8720.5101.0001.000NaN
전화번호1.0001.0001.0001.0001.0001.0001.000
비고1.0001.0000.8270.000NaN1.0001.000
2024-01-28T14:59:05.958460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
휴무주차안내
휴무1.0000.298
주차안내0.2981.000
2024-01-28T14:59:06.027376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
휴무주차안내
휴무1.0000.298
주차안내0.2981.000

Missing values

2024-01-28T14:59:02.883735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T14:59:02.983477image/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.
2024-01-28T14:59:03.068227image/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>2022-08-12
1꾸지뽕 삼계탕인천광역시 중구 우현로90번길 7 (인현동)11:00~21:00일요일공용주차장032-777-0085<NA>2022-08-12
2서해회집인천광역시 중구 월미문화로 23-2 (북성동1가)10:00~22:00연중무휴가능032-772-1109<NA>2022-08-12
3맛고을인천광역시 중구 신포로23번길 33-2 (중앙동3가)09:30~21:00연중무휴불가032-763-9511<NA>2022-08-12
4풍미인천광역시 중구 차이나타운로 56 (선린동)09:00~21:00명절 당일불가032-772-2680<NA>2022-08-12
5골드홀릭인천광역시 중구 월미문화로 71 (북성동1가, 월미비치타운)11:00~20:00화요일+우천시공용주차장032-773-3311<NA>2022-08-12
6달큰철판두루치기인천광역시 중구 우현로87번길 5 (인현동)11:30~24:00연중무휴불가032-764-7797<NA>2022-08-12
7월아천인천광역시 중구 개항로45번길 12-20 (내동)11:00~22:00명절 당일공용주차장032-777-8884<NA>2022-08-12
8시골쌈밥인천광역시 중구 우현로35번길 8 (신포동)11:00~22:00일요일공용주차장032-777-0878<NA>2022-08-12
9타카이타이인천광역시 중구 우현로35번길 24-3 (신포동), 2층11:00~22:00연중무휴공용주차장032-765-5576<NA>2022-08-12
업소명주소영업시간휴무주차안내전화번호비고데이터기준일자
30체나콜로인천광역시 중구 신포로15번길 69 (해안동2가)11:00~15:00+17:00~22:00월요일가능0507-1322-815521:00라스트오더2022-08-12
31달쭈꾸미인천광역시 중구 월미문화로 39 (북성동1가)11:30~16:00+17:00~22:00연중무휴가능0507-1311-740321:00라스트오더2022-08-12
32황산샤브샤브인천광역시 중구 흰바위로59번길 8 (운서동)11:00~22:30연중무휴가능0507-1343-2060<NA>2022-08-12
33대풍꽃게맛집인천광역시 중구 연안부두로 51 (항동7가)11:00~15:00+17:00~22:00연중무휴가능032-888-535320:30라스트오더2022-08-12
34원조벤댕이인천광역시 중구 연안부두로 41-1 (항동7가)08:00~20:00월요일가능032-883-0280<NA>2022-08-12
35동경참치인천광역시 중구 신포로23번길 17-1 (중앙동4가)11:30~23:00일요일불가032-763-8889<NA>2022-08-12
36본가낙지와족발인천광역시 중구 운중로 157 (중산동)<NA>연중무휴가능032-752-8788<NA>2022-08-12
37정원한우소머리국밥인천광역시 중구 운중로14번길 16 (운남동)11:00~21:00토요일가능032-751-7798<NA>2022-08-12
38맛고을인천광역시 중구 신포로23번길 33-2 (중앙동3가)09:30~21:00연중무휴불가032-763-9511<NA>2022-08-12
39금촌집인천광역시 중구 우현로90번길 19-1 (인현동)10:30~23:30매월 첫째 주 일요일공용주차장032-772-9324<NA>2022-08-12

Duplicate rows

Most frequently occurring

업소명주소영업시간휴무주차안내전화번호비고데이터기준일자# duplicates
0맛고을인천광역시 중구 신포로23번길 33-2 (중앙동3가)09:30~21:00연중무휴불가032-763-9511<NA>2022-08-122
1서해회집인천광역시 중구 월미문화로 23-2 (북성동1가)10:00~22:00연중무휴가능032-772-1109<NA>2022-08-122
2장수삼계탕인천광역시 중구 개항로 10-1 (중앙동4가, 장수삼계탕)10:00~10:00명절 당일가능032-764-3009<NA>2022-08-122