Overview

Dataset statistics

Number of variables5
Number of observations4372
Missing cells1872
Missing cells (%)8.6%
Duplicate rows762
Duplicate rows (%)17.4%
Total size in memory170.9 KiB
Average record size in memory40.0 B

Variable types

Categorical2
Text3

Dataset

Description인천광역시 중구 내 식품접객업소에 관한 정보입니다. 파일명 인천광역시 중구 식품접객업소 현황 내용 업종명, 업소명, 주소, 전화번호 등
Author공공데이터포털
URLhttps://www.data.go.kr/data/15068909/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 762 (17.4%) duplicate rowsDuplicates
소재지전화 has 1872 (42.8%) missing valuesMissing

Reproduction

Analysis started2024-04-21 11:14:41.456673
Analysis finished2024-04-21 11:14:43.144365
Duration1.69 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
일반음식점
2825 
휴게음식점
1111 
제과점영업
 
138
위탁급식영업
 
115
유흥주점영업
 
111

Length

Max length6
Median length5
Mean length5.0352242
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 2825
64.6%
휴게음식점 1111
 
25.4%
제과점영업 138
 
3.2%
위탁급식영업 115
 
2.6%
유흥주점영업 111
 
2.5%
단란주점 72
 
1.6%

Length

2024-04-21T20:14:43.377732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:14:43.738728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 2825
64.6%
휴게음식점 1111
 
25.4%
제과점영업 138
 
3.2%
위탁급식영업 115
 
2.6%
유흥주점영업 111
 
2.5%
단란주점 72
 
1.6%

업소명
Text

Distinct3558
Distinct (%)81.4%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
2024-04-21T20:14:44.648448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length34
Mean length8.2788198
Min length1

Characters and Unicode

Total characters36195
Distinct characters931
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2772 ?
Unique (%)63.4%

Sample

1st row월드푸드
2nd row마시안해물칼국수
3rd row신라반점
4th row백령면옥
5th row소호63컴퍼니
ValueCountFrequency (%)
영종하늘도시점 133
 
2.0%
운서점 78
 
1.2%
하늘도시점 74
 
1.1%
영종점 54
 
0.8%
씨유 50
 
0.7%
세븐일레븐 48
 
0.7%
영종도점 43
 
0.6%
카페 40
 
0.6%
인천공항 29
 
0.4%
동인천점 27
 
0.4%
Other values (4031) 6102
91.4%
2024-04-21T20:14:46.010342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2306
 
6.4%
점 1386
 
3.8%
이 752
 
2.1%
스 653
 
1.8%
영 565
 
1.6%
) 553
 
1.5%
( 553
 
1.5%
종 547
 
1.5%
도 539
 
1.5%
인 499
 
1.4%
Other values (921) 27842
76.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29330
81.0%
Space Separator 2306
 
6.4%
Lowercase Letter 1307
 
3.6%
Uppercase Letter 1259
 
3.5%
Decimal Number 719
 
2.0%
Close Punctuation 555
 
1.5%
Open Punctuation 555
 
1.5%
Other Punctuation 127
 
0.4%
Dash Punctuation 22
 
0.1%
Letter Number 7
 
< 0.1%
Other values (3) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1386
 
4.7%
이 752
 
2.6%
스 653
 
2.2%
영 565
 
1.9%
종 547
 
1.9%
도 539
 
1.8%
인 499
 
1.7%
시 443
 
1.5%
천 437
 
1.5%
리 393
 
1.3%
Other values (834) 23116
78.8%
Uppercase Letter
ValueCountFrequency (%)
C 119
 
9.5%
E 96
 
7.6%
A 91
 
7.2%
O 85
 
6.8%
T 84
 
6.7%
B 82
 
6.5%
S 74
 
5.9%
P 67
 
5.3%
G 66
 
5.2%
F 55
 
4.4%
Other values (16) 440
34.9%
Lowercase Letter
ValueCountFrequency (%)
e 213
16.3%
a 160
12.2%
o 86
 
6.6%
n 86
 
6.6%
r 77
 
5.9%
i 70
 
5.4%
c 67
 
5.1%
f 62
 
4.7%
s 57
 
4.4%
t 57
 
4.4%
Other values (15) 372
28.5%
Other Punctuation
ValueCountFrequency (%)
& 69
54.3%
, 20
 
15.7%
. 16
 
12.6%
/ 8
 
6.3%
' 4
 
3.1%
# 3
 
2.4%
@ 2
 
1.6%
！ 2
 
1.6%
: 1
 
0.8%
? 1
 
0.8%
Decimal Number
ValueCountFrequency (%)
2 218
30.3%
1 104
14.5%
0 78
 
10.8%
5 69
 
9.6%
3 62
 
8.6%
4 44
 
6.1%
8 42
 
5.8%
9 41
 
5.7%
7 38
 
5.3%
6 23
 
3.2%
Math Symbol
ValueCountFrequency (%)
< 2
33.3%
> 2
33.3%
× 1
16.7%
+ 1
16.7%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
42.9%
Ⅲ 2
28.6%
Ⅰ 2
28.6%
Close Punctuation
ValueCountFrequency (%)
) 553
99.6%
] 2
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 553
99.6%
[ 2
 
0.4%
Space Separator
ValueCountFrequency (%)
2306
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29322
81.0%
Common 4292
 
11.9%
Latin 2573
 
7.1%
Han 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1386
 
4.7%
이 752
 
2.6%
스 653
 
2.2%
영 565
 
1.9%
종 547
 
1.9%
도 539
 
1.8%
인 499
 
1.7%
시 443
 
1.5%
천 437
 
1.5%
리 393
 
1.3%
Other values (828) 23108
78.8%
Latin
ValueCountFrequency (%)
e 213
 
8.3%
a 160
 
6.2%
C 119
 
4.6%
E 96
 
3.7%
A 91
 
3.5%
o 86
 
3.3%
n 86
 
3.3%
O 85
 
3.3%
T 84
 
3.3%
B 82
 
3.2%
Other values (44) 1471
57.2%
Common
ValueCountFrequency (%)
2306
53.7%
) 553
 
12.9%
( 553
 
12.9%
2 218
 
5.1%
1 104
 
2.4%
0 78
 
1.8%
& 69
 
1.6%
5 69
 
1.6%
3 62
 
1.4%
4 44
 
1.0%
Other values (23) 236
 
5.5%
Han
ValueCountFrequency (%)
牛 2
25.0%
緣 2
25.0%
王 1
12.5%
大 1
12.5%
安 1
12.5%
生 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29321
81.0%
ASCII 6853
 
18.9%
CJK 8
 
< 0.1%
Number Forms 7
 
< 0.1%
None 4
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2306
33.6%
) 553
 
8.1%
( 553
 
8.1%
2 218
 
3.2%
e 213
 
3.1%
a 160
 
2.3%
C 119
 
1.7%
1 104
 
1.5%
E 96
 
1.4%
A 91
 
1.3%
Other values (70) 2440
35.6%
Hangul
ValueCountFrequency (%)
점 1386
 
4.7%
이 752
 
2.6%
스 653
 
2.2%
영 565
 
1.9%
종 547
 
1.9%
도 539
 
1.8%
인 499
 
1.7%
시 443
 
1.5%
천 437
 
1.5%
리 393
 
1.3%
Other values (827) 23107
78.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
42.9%
Ⅲ 2
28.6%
Ⅰ 2
28.6%
CJK
ValueCountFrequency (%)
牛 2
25.0%
緣 2
25.0%
王 1
12.5%
大 1
12.5%
安 1
12.5%
生 1
12.5%
None
ValueCountFrequency (%)
！ 2
50.0%
× 1
25.0%
· 1
25.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅊ 1
100.0%

소재지
Text

Distinct3404
Distinct (%)77.9%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
2024-04-21T20:14:47.142314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length55
Mean length36.09721
Min length9

Characters and Unicode

Total characters157817
Distinct characters421
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2605 ?
Unique (%)59.6%

Sample

1st row인천광역시 중구 서해대로483번길 26, 1층 (유동)
2nd row인천광역시 중구 남북로6번길 16, 1층 (남북동)
3rd row인천광역시 중구 개항로 105-1, 1층 (경동)
4th row인천광역시 중구 신포로27번길 37, 1층 (중앙동3가)
5th row인천광역시 중구 개항로 61, 2층 (경동)
ValueCountFrequency (%)
인천광역시 4371
 
14.2%
중구 4371
 
14.2%
1층 2375
 
7.7%
운서동 1331
 
4.3%
중산동 946
 
3.1%
2층 440
 
1.4%
일부 248
 
0.8%
운남동 227
 
0.7%
3층 196
 
0.6%
101호 181
 
0.6%
Other values (2301) 16051
52.2%
2024-04-21T20:14:48.979437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26407
 
16.7%
1 9320
 
5.9%
중 5784
 
3.7%
, 5494
 
3.5%
동 4985
 
3.2%
인 4910
 
3.1%
시 4849
 
3.1%
천 4702
 
3.0%
2 4610
 
2.9%
광 4451
 
2.8%
Other values (411) 82305
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 86313
54.7%
Decimal Number 29038
 
18.4%
Space Separator 26407
 
16.7%
Other Punctuation 5509
 
3.5%
Close Punctuation 4421
 
2.8%
Open Punctuation 4411
 
2.8%
Dash Punctuation 1118
 
0.7%
Uppercase Letter 476
 
0.3%
Math Symbol 81
 
0.1%
Lowercase Letter 40
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 5784
 
6.7%
동 4985
 
5.8%
인 4910
 
5.7%
시 4849
 
5.6%
천 4702
 
5.4%
광 4451
 
5.2%
역 4440
 
5.1%
구 4400
 
5.1%
로 4294
 
5.0%
층 3649
 
4.2%
Other values (358) 39849
46.2%
Uppercase Letter
ValueCountFrequency (%)
B 103
21.6%
I 49
10.3%
A 47
9.9%
C 39
 
8.2%
S 35
 
7.4%
K 31
 
6.5%
F 26
 
5.5%
L 24
 
5.0%
P 23
 
4.8%
J 17
 
3.6%
Other values (13) 82
17.2%
Decimal Number
ValueCountFrequency (%)
1 9320
32.1%
2 4610
15.9%
0 3072
 
10.6%
3 2663
 
9.2%
4 2213
 
7.6%
6 1651
 
5.7%
5 1593
 
5.5%
7 1593
 
5.5%
9 1165
 
4.0%
8 1158
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
e 16
40.0%
a 6
 
15.0%
y 4
 
10.0%
c 4
 
10.0%
r 2
 
5.0%
f 2
 
5.0%
i 2
 
5.0%
t 2
 
5.0%
k 2
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 5494
99.7%
. 8
 
0.1%
/ 7
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 79
97.5%
< 1
 
1.2%
> 1
 
1.2%
Space Separator
ValueCountFrequency (%)
26407
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4421
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4411
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1118
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 86313
54.7%
Common 70985
45.0%
Latin 519
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 5784
 
6.7%
동 4985
 
5.8%
인 4910
 
5.7%
시 4849
 
5.6%
천 4702
 
5.4%
광 4451
 
5.2%
역 4440
 
5.1%
구 4400
 
5.1%
로 4294
 
5.0%
층 3649
 
4.2%
Other values (358) 39849
46.2%
Latin
ValueCountFrequency (%)
B 103
19.8%
I 49
 
9.4%
A 47
 
9.1%
C 39
 
7.5%
S 35
 
6.7%
K 31
 
6.0%
F 26
 
5.0%
L 24
 
4.6%
P 23
 
4.4%
J 17
 
3.3%
Other values (23) 125
24.1%
Common
ValueCountFrequency (%)
26407
37.2%
1 9320
 
13.1%
, 5494
 
7.7%
2 4610
 
6.5%
) 4421
 
6.2%
( 4411
 
6.2%
0 3072
 
4.3%
3 2663
 
3.8%
4 2213
 
3.1%
6 1651
 
2.3%
Other values (10) 6723
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 86313
54.7%
ASCII 71501
45.3%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26407
36.9%
1 9320
 
13.0%
, 5494
 
7.7%
2 4610
 
6.4%
) 4421
 
6.2%
( 4411
 
6.2%
0 3072
 
4.3%
3 2663
 
3.7%
4 2213
 
3.1%
6 1651
 
2.3%
Other values (42) 7239
 
10.1%
Hangul
ValueCountFrequency (%)
중 5784
 
6.7%
동 4985
 
5.8%
인 4910
 
5.7%
시 4849
 
5.6%
천 4702
 
5.4%
광 4451
 
5.2%
역 4440
 
5.1%
구 4400
 
5.1%
로 4294
 
5.0%
층 3649
 
4.2%
Other values (358) 39849
46.2%
Number Forms
ValueCountFrequency (%)
Ⅰ 3
100.0%

소재지전화
Text

MISSING 

Distinct1995
Distinct (%)79.8%
Missing1872
Missing (%)42.8%
Memory size34.3 KiB
2024-04-21T20:14:49.850215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.0736
Min length9

Characters and Unicode

Total characters30184
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

Unique1558 ?
Unique (%)62.3%

Sample

1st row032-766-3337
2nd row032-773-6934
3rd row032-859-2111
4th row032-773-2868
5th row032-213-7800
ValueCountFrequency (%)
032-743-6250 14
 
0.6%
02-709-1114 8
 
0.3%
032-743-6260 6
 
0.2%
032-746-0806 6
 
0.2%
032-743-6280 6
 
0.2%
032-745-1234 6
 
0.2%
02-589-6200 5
 
0.2%
032-746-8488 4
 
0.2%
02-3019-2273 4
 
0.2%
032-721-8224 4
 
0.2%
Other values (1985) 2437
97.5%
2024-04-21T20:14:51.196370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 4994
16.5%
0 4135
13.7%
2 4055
13.4%
7 3727
12.3%
3 3592
11.9%
5 2001
6.6%
8 1704
 
5.6%
4 1660
 
5.5%
6 1617
 
5.4%
1 1565
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 25190
83.5%
Dash Punctuation 4994
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4135
16.4%
2 4055
16.1%
7 3727
14.8%
3 3592
14.3%
5 2001
7.9%
8 1704
6.8%
4 1660
6.6%
6 1617
 
6.4%
1 1565
 
6.2%
9 1134
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 4994
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30184
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 4994
16.5%
0 4135
13.7%
2 4055
13.4%
7 3727
12.3%
3 3592
11.9%
5 2001
6.6%
8 1704
 
5.6%
4 1660
 
5.5%
6 1617
 
5.4%
1 1565
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30184
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 4994
16.5%
0 4135
13.7%
2 4055
13.4%
7 3727
12.3%
3 3592
11.9%
5 2001
6.6%
8 1704
 
5.6%
4 1660
 
5.5%
6 1617
 
5.4%
1 1565
 
5.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
2023-07-06
4372 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-06
2nd row2023-07-06
3rd row2023-07-06
4th row2023-07-06
5th row2023-07-06

Common Values

ValueCountFrequency (%)
2023-07-06 4372
100.0%

Length

2024-04-21T20:14:51.610764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:14:51.934271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-06 4372
100.0%

Missing values

2024-04-21T20:14:42.686774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T20:14:43.004212image/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

업종명업소명소재지소재지전화데이터기준일자
0일반음식점월드푸드인천광역시 중구 서해대로483번길 26, 1층 (유동)032-766-33372023-07-06
1일반음식점마시안해물칼국수인천광역시 중구 남북로6번길 16, 1층 (남북동)<NA>2023-07-06
2일반음식점신라반점인천광역시 중구 개항로 105-1, 1층 (경동)032-773-69342023-07-06
3일반음식점백령면옥인천광역시 중구 신포로27번길 37, 1층 (중앙동3가)032-859-21112023-07-06
4일반음식점소호63컴퍼니인천광역시 중구 개항로 61, 2층 (경동)<NA>2023-07-06
5일반음식점올리오인천광역시 중구 신포로31번길 7, 1층 (관동3가)032-773-28682023-07-06
6일반음식점신포반점인천광역시 중구 하늘달빛로 94, 스타타워I 2층 207호 (중산동)032-213-78002023-07-06
7일반음식점가마두담(1호점)인천광역시 중구 월촌길 34, 1층 104,105호 일부 (중산동)<NA>2023-07-06
8일반음식점샐러드박스 영종하늘점인천광역시 중구 하늘중앙로195번길 14, 이은스퀘어 2층 205-1호 (중산동)032-746-33692023-07-06
9일반음식점옥이이모네인천광역시 중구 인항로 34, 현대상가 2층 205,206호 (신흥동3가)032-888-09932023-07-06
업종명업소명소재지소재지전화데이터기준일자
4362제과점영업케이크앤조이인천광역시 중구 하늘별빛로 71, 타임프라자 3층 304호 일부 (중산동)<NA>2023-07-06
4363제과점영업콜투마인드인천광역시 중구 영종진로11번길 23, 1층 일부 (중산동)070-4234-33572023-07-06
4364제과점영업세아베이커리인천광역시 중구 하늘달빛로 88, 채운 에비뉴 1층 110호 (중산동)032-746-00052023-07-06
4365제과점영업뉴레이션인천광역시 중구 영종대로196번길 15-15, 스카이파크리움 지하1층 B101호 (운서동)032-747-01522023-07-06
4366제과점영업뚜레쥬르 하늘중앙점인천광역시 중구 하늘중앙로225번길 11, 1층 105,106호 (중산동)032-746-77092023-07-06
4367제과점영업삼남매 빵집인천광역시 중구 하늘중앙로 272, 306동 B103호 (중산동, 영종국제도시 동원로얄듀크 마리나포레)070-8287-12582023-07-06
4368제과점영업위쿠키유인천광역시 중구 모랫말로5번길 11, 1층 (운서동)032-760-69972023-07-06
4369제과점영업빵 드 오늘(pain de 오늘) 2호점인천광역시 중구 영종대로196번길 25, 1층 115호 (운서동)032-746-80462023-07-06
4370제과점영업연(緣)인천광역시 중구 화랑목로 66-1, 1층 104호 (운서동)<NA>2023-07-06
4371제과점영업Landbrot(란트브로트)인천광역시 중구 운남서로10번길 29, 1층 103,104호 (운남동)<NA>2023-07-06

Duplicate rows

Most frequently occurring

업종명업소명소재지소재지전화데이터기준일자# duplicates
0단란주점7080너도가수다인천광역시 중구 우현로39번길 22-1 (신포동, 지상2층)032-766-52552023-07-062
1단란주점나팔바지7080라이브인천광역시 중구 신포로27번길 16 (관동3가, 2층)032-777-48332023-07-062
2단란주점두바이 노래타운인천광역시 중구 은하수로29번길 47, 지하1층 B01-2호 (중산동)<NA>2023-07-062
3단란주점등불인천광역시 중구 도원로7번길 16 (선화동)032-884-52532023-07-062
4단란주점뮤직박스인천광역시 중구 우현로90번길 20 (인현동, 1,2층)<NA>2023-07-062
5단란주점백야인천광역시 중구 신포로15번길 22-1 (중앙동4가, 4층)<NA>2023-07-062
6단란주점브이아이피(VIP)인천광역시 중구 신도시남로150번길 4, 지하1층 (운서동, 스카이프라자)<NA>2023-07-062
7단란주점싱싱단란주점인천광역시 중구 개항로 14 (중앙동4가, 지하1층)<NA>2023-07-062
8단란주점앤드7080인천광역시 중구 개항로 9-1 (중앙동4가, 2층)032-773-33082023-07-062
9단란주점에프엠라이브(FM Live) 단란주점인천광역시 중구 자유공원남로 1 (관동1가)032-772-87992023-07-062