Overview

Dataset statistics

Number of variables6
Number of observations111
Missing cells33
Missing cells (%)5.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory50.2 B

Variable types

Numeric1
Categorical1
Text4

Dataset

Description인천광역시 연수구 유흥 및 단란주점 현황의 데이터에서 업소명 소재지 등의 데이터 목록<br/>- 업종명, 업소명, 소재지(도로명), 소재지(지번), 소재지전화로 구분
Author인천광역시 연수구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15087303&srcSe=7661IVAWM27C61E190

Alerts

연번 is highly overall correlated with 업종명High correlation
업종명 is highly overall correlated with 연번High correlation
소재지전화 has 33 (29.7%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-04-20 18:46:11.346063
Analysis finished2024-04-20 18:46:12.908419
Duration1.56 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct111
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56
Minimum1
Maximum111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-21T03:46:12.988115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.5
Q128.5
median56
Q383.5
95-th percentile105.5
Maximum111
Range110
Interquartile range (IQR)55

Descriptive statistics

Standard deviation32.186954
Coefficient of variation (CV)0.57476703
Kurtosis-1.2
Mean56
Median Absolute Deviation (MAD)28
Skewness0
Sum6216
Variance1036
MonotonicityStrictly increasing
2024-04-21T03:46:13.132144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
2 1
 
0.9%
83 1
 
0.9%
82 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
Other values (101) 101
91.0%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
111 1
0.9%
110 1
0.9%
109 1
0.9%
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%
102 1
0.9%

업종명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
유흥주점영업
78 
단란주점
33 

Length

Max length6
Median length6
Mean length5.4054054
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유흥주점영업 78
70.3%
단란주점 33
29.7%

Length

2024-04-21T03:46:13.265742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:46:13.349029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유흥주점영업 78
70.3%
단란주점 33
29.7%

업소명
Text

Distinct108
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2024-04-21T03:46:13.580031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length4.954955
Min length1

Characters and Unicode

Total characters550
Distinct characters190
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique105 ?
Unique (%)94.6%

Sample

1st row야성노래장
2nd row킹 노래바
3rd row썸노래바
4th row럭셔리
5th row베트남노래클럽
ValueCountFrequency (%)
라이브 5
 
3.7%
노래바 3
 
2.2%
거래처 2
 
1.5%
링코노래타운 2
 
1.5%
제니스 2
 
1.5%
보물섬 2
 
1.5%
단란주점 2
 
1.5%
놀이터 2
 
1.5%
여보 2
 
1.5%
뉴코뮤직타운 1
 
0.7%
Other values (112) 112
83.0%
2024-04-21T03:46:13.944921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
래 29
 
5.3%
노 28
 
5.1%
이 27
 
4.9%
24
 
4.4%
럽 14
 
2.5%
클 14
 
2.5%
라 12
 
2.2%
점 9
 
1.6%
) 9
 
1.6%
( 9
 
1.6%
Other values (180) 375
68.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 451
82.0%
Space Separator 24
 
4.4%
Decimal Number 24
 
4.4%
Uppercase Letter 24
 
4.4%
Close Punctuation 9
 
1.6%
Open Punctuation 9
 
1.6%
Lowercase Letter 7
 
1.3%
Other Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
래 29
 
6.4%
노 28
 
6.2%
이 27
 
6.0%
럽 14
 
3.1%
클 14
 
3.1%
라 12
 
2.7%
점 9
 
2.0%
스 9
 
2.0%
브 8
 
1.8%
타 7
 
1.6%
Other values (150) 294
65.2%
Uppercase Letter
ValueCountFrequency (%)
J 4
16.7%
O 3
12.5%
S 3
12.5%
A 2
8.3%
I 2
8.3%
M 2
8.3%
D 1
 
4.2%
R 1
 
4.2%
B 1
 
4.2%
L 1
 
4.2%
Other values (4) 4
16.7%
Decimal Number
ValueCountFrequency (%)
2 6
25.0%
0 6
25.0%
7 4
16.7%
1 3
12.5%
8 3
12.5%
5 2
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
i 2
28.6%
y 1
14.3%
r 1
14.3%
a 1
14.3%
e 1
14.3%
v 1
14.3%
Space Separator
ValueCountFrequency (%)
24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 451
82.0%
Common 68
 
12.4%
Latin 31
 
5.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
래 29
 
6.4%
노 28
 
6.2%
이 27
 
6.0%
럽 14
 
3.1%
클 14
 
3.1%
라 12
 
2.7%
점 9
 
2.0%
스 9
 
2.0%
브 8
 
1.8%
타 7
 
1.6%
Other values (150) 294
65.2%
Latin
ValueCountFrequency (%)
J 4
 
12.9%
O 3
 
9.7%
S 3
 
9.7%
A 2
 
6.5%
I 2
 
6.5%
M 2
 
6.5%
i 2
 
6.5%
y 1
 
3.2%
r 1
 
3.2%
a 1
 
3.2%
Other values (10) 10
32.3%
Common
ValueCountFrequency (%)
24
35.3%
) 9
 
13.2%
( 9
 
13.2%
2 6
 
8.8%
0 6
 
8.8%
7 4
 
5.9%
1 3
 
4.4%
8 3
 
4.4%
5 2
 
2.9%
. 2
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 451
82.0%
ASCII 99
 
18.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
래 29
 
6.4%
노 28
 
6.2%
이 27
 
6.0%
럽 14
 
3.1%
클 14
 
3.1%
라 12
 
2.7%
점 9
 
2.0%
스 9
 
2.0%
브 8
 
1.8%
타 7
 
1.6%
Other values (150) 294
65.2%
ASCII
ValueCountFrequency (%)
24
24.2%
) 9
 
9.1%
( 9
 
9.1%
2 6
 
6.1%
0 6
 
6.1%
7 4
 
4.0%
J 4
 
4.0%
O 3
 
3.0%
1 3
 
3.0%
8 3
 
3.0%
Other values (20) 28
28.3%

소재지(도로명)
Text

Distinct109
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2024-04-21T03:46:14.109685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length42
Mean length33.225225
Min length26

Characters and Unicode

Total characters3688
Distinct characters99
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique107 ?
Unique (%)96.4%

Sample

1st row인천광역시 연수구 능허대로 205, 지하1층 (옥련동)
2nd row인천광역시 연수구 인권로 11 (옥련동, 지상4층)
3rd row인천광역시 연수구 능허대로 209-1 (옥련동,지하1층(능허대길 157))
4th row인천광역시 연수구 인권로 11 (옥련동,지하1층)
5th row인천광역시 연수구 용담로85번길 8-7 (청학동, 지상6층)
ValueCountFrequency (%)
인천광역시 111
 
16.3%
연수구 111
 
16.3%
옥련동 29
 
4.3%
지하1층 27
 
4.0%
인권로 22
 
3.2%
동춘동 20
 
2.9%
연수동 18
 
2.6%
지상2층 16
 
2.3%
용담로 14
 
2.1%
청학동 12
 
1.8%
Other values (154) 302
44.3%
2024-04-21T03:46:14.375029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
571
 
15.5%
1 186
 
5.0%
동 144
 
3.9%
연 136
 
3.7%
수 136
 
3.7%
인 135
 
3.7%
) 131
 
3.6%
( 131
 
3.6%
, 119
 
3.2%
시 116
 
3.1%
Other values (89) 1883
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2137
57.9%
Decimal Number 574
 
15.6%
Space Separator 571
 
15.5%
Close Punctuation 131
 
3.6%
Open Punctuation 131
 
3.6%
Other Punctuation 119
 
3.2%
Dash Punctuation 17
 
0.5%
Uppercase Letter 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 144
 
6.7%
연 136
 
6.4%
수 136
 
6.4%
인 135
 
6.3%
시 116
 
5.4%
로 116
 
5.4%
천 112
 
5.2%
역 111
 
5.2%
광 111
 
5.2%
구 111
 
5.2%
Other values (70) 909
42.5%
Decimal Number
ValueCountFrequency (%)
1 186
32.4%
2 95
16.6%
3 63
 
11.0%
7 47
 
8.2%
8 46
 
8.0%
0 38
 
6.6%
5 29
 
5.1%
4 26
 
4.5%
6 25
 
4.4%
9 19
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
M 2
25.0%
B 2
25.0%
G 2
25.0%
C 2
25.0%
Space Separator
ValueCountFrequency (%)
571
100.0%
Close Punctuation
ValueCountFrequency (%)
) 131
100.0%
Open Punctuation
ValueCountFrequency (%)
( 131
100.0%
Other Punctuation
ValueCountFrequency (%)
, 119
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2137
57.9%
Common 1543
41.8%
Latin 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 144
 
6.7%
연 136
 
6.4%
수 136
 
6.4%
인 135
 
6.3%
시 116
 
5.4%
로 116
 
5.4%
천 112
 
5.2%
역 111
 
5.2%
광 111
 
5.2%
구 111
 
5.2%
Other values (70) 909
42.5%
Common
ValueCountFrequency (%)
571
37.0%
1 186
 
12.1%
) 131
 
8.5%
( 131
 
8.5%
, 119
 
7.7%
2 95
 
6.2%
3 63
 
4.1%
7 47
 
3.0%
8 46
 
3.0%
0 38
 
2.5%
Other values (5) 116
 
7.5%
Latin
ValueCountFrequency (%)
M 2
25.0%
B 2
25.0%
G 2
25.0%
C 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2137
57.9%
ASCII 1551
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
571
36.8%
1 186
 
12.0%
) 131
 
8.4%
( 131
 
8.4%
, 119
 
7.7%
2 95
 
6.1%
3 63
 
4.1%
7 47
 
3.0%
8 46
 
3.0%
0 38
 
2.5%
Other values (9) 124
 
8.0%
Hangul
ValueCountFrequency (%)
동 144
 
6.7%
연 136
 
6.4%
수 136
 
6.4%
인 135
 
6.3%
시 116
 
5.4%
로 116
 
5.4%
천 112
 
5.2%
역 111
 
5.2%
광 111
 
5.2%
구 111
 
5.2%
Other values (70) 909
42.5%

소재지(지번)
Text

Distinct108
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2024-04-21T03:46:14.595583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length40
Mean length27.099099
Min length18

Characters and Unicode

Total characters3008
Distinct characters80
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique105 ?
Unique (%)94.6%

Sample

1st row인천광역시 연수구 옥련동 552 지하1층
2nd row인천광역시 연수구 옥련동 540-1 지상4층
3rd row인천광역시 연수구 옥련동 552-7 지하1층(능허대길 157)
4th row인천광역시 연수구 옥련동 540-1 지하1층
5th row인천광역시 연수구 청학동 498-10 지상6층
ValueCountFrequency (%)
인천광역시 111
18.8%
연수구 111
18.8%
옥련동 39
 
6.6%
지하1층 31
 
5.2%
동춘동 28
 
4.7%
연수동 24
 
4.1%
청학동 18
 
3.0%
지상2층 14
 
2.4%
지상3층 11
 
1.9%
지상1층 7
 
1.2%
Other values (138) 198
33.4%
2024-04-21T03:46:14.934896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
585
19.4%
동 144
 
4.8%
수 136
 
4.5%
연 136
 
4.5%
1 117
 
3.9%
시 116
 
3.9%
천 112
 
3.7%
인 112
 
3.7%
구 111
 
3.7%
역 111
 
3.7%
Other values (70) 1328
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1638
54.5%
Decimal Number 633
 
21.0%
Space Separator 585
 
19.4%
Dash Punctuation 94
 
3.1%
Open Punctuation 21
 
0.7%
Close Punctuation 21
 
0.7%
Other Punctuation 8
 
0.3%
Uppercase Letter 8
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 144
 
8.8%
수 136
 
8.3%
연 136
 
8.3%
시 116
 
7.1%
천 112
 
6.8%
인 112
 
6.8%
구 111
 
6.8%
역 111
 
6.8%
광 111
 
6.8%
층 93
 
5.7%
Other values (51) 456
27.8%
Decimal Number
ValueCountFrequency (%)
1 117
18.5%
5 98
15.5%
3 71
11.2%
0 64
10.1%
2 62
9.8%
8 61
9.6%
4 50
7.9%
9 47
7.4%
7 37
 
5.8%
6 26
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
G 2
25.0%
M 2
25.0%
C 2
25.0%
B 2
25.0%
Space Separator
ValueCountFrequency (%)
585
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1638
54.5%
Common 1362
45.3%
Latin 8
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 144
 
8.8%
수 136
 
8.3%
연 136
 
8.3%
시 116
 
7.1%
천 112
 
6.8%
인 112
 
6.8%
구 111
 
6.8%
역 111
 
6.8%
광 111
 
6.8%
층 93
 
5.7%
Other values (51) 456
27.8%
Common
ValueCountFrequency (%)
585
43.0%
1 117
 
8.6%
5 98
 
7.2%
- 94
 
6.9%
3 71
 
5.2%
0 64
 
4.7%
2 62
 
4.6%
8 61
 
4.5%
4 50
 
3.7%
9 47
 
3.5%
Other values (5) 113
 
8.3%
Latin
ValueCountFrequency (%)
G 2
25.0%
M 2
25.0%
C 2
25.0%
B 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1638
54.5%
ASCII 1370
45.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
585
42.7%
1 117
 
8.5%
5 98
 
7.2%
- 94
 
6.9%
3 71
 
5.2%
0 64
 
4.7%
2 62
 
4.5%
8 61
 
4.5%
4 50
 
3.6%
9 47
 
3.4%
Other values (9) 121
 
8.8%
Hangul
ValueCountFrequency (%)
동 144
 
8.8%
수 136
 
8.3%
연 136
 
8.3%
시 116
 
7.1%
천 112
 
6.8%
인 112
 
6.8%
구 111
 
6.8%
역 111
 
6.8%
광 111
 
6.8%
층 93
 
5.7%
Other values (51) 456
27.8%

소재지전화
Text

MISSING 

Distinct78
Distinct (%)100.0%
Missing33
Missing (%)29.7%
Memory size1020.0 B
2024-04-21T03:46:15.216112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters1092
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)100.0%

Sample

1st row032 -832 -5956
2nd row 032- 833-3755
3rd row032 -834 -7080
4th row 032- 821-0578
5th row 032- 834-2310
ValueCountFrequency (%)
032 74
37.0%
818 5
 
2.5%
834 5
 
2.5%
822 4
 
2.0%
815 4
 
2.0%
814 4
 
2.0%
833 4
 
2.0%
819 3
 
1.5%
858 3
 
1.5%
817 3
 
1.5%
Other values (89) 91
45.5%
2024-04-21T03:46:15.569780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
158
14.5%
- 156
14.3%
3 144
13.2%
0 128
11.7%
2 120
11.0%
8 116
10.6%
1 80
7.3%
5 50
 
4.6%
7 47
 
4.3%
4 47
 
4.3%
Other values (2) 46
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 778
71.2%
Space Separator 158
 
14.5%
Dash Punctuation 156
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 144
18.5%
0 128
16.5%
2 120
15.4%
8 116
14.9%
1 80
10.3%
5 50
 
6.4%
7 47
 
6.0%
4 47
 
6.0%
9 31
 
4.0%
6 15
 
1.9%
Space Separator
ValueCountFrequency (%)
158
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 156
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1092
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
158
14.5%
- 156
14.3%
3 144
13.2%
0 128
11.7%
2 120
11.0%
8 116
10.6%
1 80
7.3%
5 50
 
4.6%
7 47
 
4.3%
4 47
 
4.3%
Other values (2) 46
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1092
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
158
14.5%
- 156
14.3%
3 144
13.2%
0 128
11.7%
2 120
11.0%
8 116
10.6%
1 80
7.3%
5 50
 
4.6%
7 47
 
4.3%
4 47
 
4.3%
Other values (2) 46
 
4.2%

Interactions

2024-04-21T03:46:12.641011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T03:46:15.650878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명소재지전화
연번1.0001.0001.000
업종명1.0001.0001.000
소재지전화1.0001.0001.000
2024-04-21T03:46:15.725403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명
연번1.0000.963
업종명0.9631.000

Missing values

2024-04-21T03:46:12.785429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T03:46:12.868014image/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

연번업종명업소명소재지(도로명)소재지(지번)소재지전화
01유흥주점영업야성노래장인천광역시 연수구 능허대로 205, 지하1층 (옥련동)인천광역시 연수구 옥련동 552 지하1층<NA>
12유흥주점영업킹 노래바인천광역시 연수구 인권로 11 (옥련동, 지상4층)인천광역시 연수구 옥련동 540-1 지상4층032 -832 -5956
23유흥주점영업썸노래바인천광역시 연수구 능허대로 209-1 (옥련동,지하1층(능허대길 157))인천광역시 연수구 옥련동 552-7 지하1층(능허대길 157)032- 833-3755
34유흥주점영업럭셔리인천광역시 연수구 인권로 11 (옥련동,지하1층)인천광역시 연수구 옥련동 540-1 지하1층032 -834 -7080
45유흥주점영업베트남노래클럽인천광역시 연수구 용담로85번길 8-7 (청학동, 지상6층)인천광역시 연수구 청학동 498-10 지상6층<NA>
56유흥주점영업연예인노래밤타운인천광역시 연수구 앵고개로246번길 39-8 (동춘동, 백마빌딩 지하1층 )인천광역시 연수구 동춘동 933-11 백마빌딩 지하1층<NA>
67유흥주점영업여인궁인천광역시 연수구 용담로 87 (청학동,(지상3층))인천광역시 연수구 청학동 500 (지상3층)032- 821-0578
78유흥주점영업밀라노인천광역시 연수구 인권로 21, 지하2층 (옥련동)인천광역시 연수구 옥련동 538-3 지하2층032- 834-2310
89유흥주점영업제니스인천광역시 연수구 인권로 11, 3층 (옥련동)인천광역시 연수구 옥련동 540-1 3층032- 833-7271
910유흥주점영업놀이터인천광역시 연수구 인권로 21 (옥련동, 지상3층)인천광역시 연수구 옥련동 538-3 지상3층032 -834 -8100
연번업종명업소명소재지(도로명)소재지(지번)소재지전화
101102단란주점해적노래타운인천광역시 연수구 먼우금로 190, 연수프라자 2층 209일부호 (연수동)인천광역시 연수구 연수동 597-4 연수프라자 209일부호<NA>
102103단란주점놀이터7080인천광역시 연수구 청능대로113번길 41, 지상2층 201호 (연수동)인천광역시 연수구 연수동 598-3 201호032 -817 -8797
103104단란주점만남의 단란주점인천광역시 연수구 청능대로113번길 43 (연수동, 지하1층)인천광역시 연수구 연수동 598-2 지하1층032 -815 -3399
104105단란주점야수뮤직타운단란주점인천광역시 연수구 청능대로113번길 41 (연수동, 202호)인천광역시 연수구 연수동 598-3 202호032 -818 -7720
105106단란주점씽씽노래빠인천광역시 연수구 청능대로113번길 31 (연수동, 301호)인천광역시 연수구 연수동 598-6 301호032 -822 -1117
106107단란주점썸단란주점인천광역시 연수구 용담로 115, 204호 (연수동)인천광역시 연수구 연수동 596-7<NA>
107108단란주점가무인천광역시 연수구 능허대로267번길 34, 지상1층 (동춘동)인천광역시 연수구 동춘동 813-4 지상1층 일부<NA>
108109단란주점노블인천광역시 연수구 능허대로267번길 7, 지하1층 (동춘동)인천광역시 연수구 동춘동 817-5 지하1층<NA>
109110단란주점링코노래타운 연수2호점인천광역시 연수구 먼우금로188번길 17, 선우빌딩 2층 일부호 (연수동)인천광역시 연수구 연수동 598-10 선우빌딩 2층 일부<NA>
110111단란주점라이브 우산속인천광역시 연수구 앵고개로246번길 39-24, 예은빌딩 3층 (동춘동)인천광역시 연수구 동춘동 933-16 예은빌딩<NA>