Overview

Dataset statistics

Number of variables6
Number of observations105
Missing cells35
Missing cells (%)5.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.1 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- 업종명, 업소명, 소재지(도로명), 소재지(지번), 소재지전화로 구분
Author인천광역시 연수구
URLhttps://www.data.go.kr/data/15087303/fileData.do

Alerts

연번 is highly overall correlated with 업종명High correlation
업종명 is highly overall correlated with 연번High correlation
소재지전화 has 35 (33.3%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-04-13 12:50:41.674191
Analysis finished2024-04-13 12:50:45.080268
Duration3.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct105
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53
Minimum1
Maximum105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-13T21:50:45.313961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.2
Q127
median53
Q379
95-th percentile99.8
Maximum105
Range104
Interquartile range (IQR)52

Descriptive statistics

Standard deviation30.454885
Coefficient of variation (CV)0.57462047
Kurtosis-1.2
Mean53
Median Absolute Deviation (MAD)26
Skewness0
Sum5565
Variance927.5
MonotonicityStrictly increasing
2024-04-13T21:50:45.759801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
80 1
 
1.0%
78 1
 
1.0%
77 1
 
1.0%
76 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
Other values (95) 95
90.5%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
105 1
1.0%
104 1
1.0%
103 1
1.0%
102 1
1.0%
101 1
1.0%
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%

업종명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size968.0 B
유흥주점영업
74 
단란주점
31 

Length

Max length6
Median length6
Mean length5.4095238
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유흥주점영업 74
70.5%
단란주점 31
29.5%

Length

2024-04-13T21:50:46.211916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T21:50:46.559992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유흥주점영업 74
70.5%
단란주점 31
29.5%

업소명
Text

Distinct102
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size968.0 B
2024-04-13T21:50:47.525449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length5.3238095
Min length1

Characters and Unicode

Total characters559
Distinct characters187
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

Unique99 ?
Unique (%)94.3%

Sample

1st row만남 가요방
2nd row킹 노래바
3rd row썸노래바
4th row럭셔리
5th row베트남노래클럽
ValueCountFrequency (%)
라이브 7
 
5.3%
노래바 3
 
2.3%
놀이터 2
 
1.5%
소판돈 2
 
1.5%
링코노래타운 2
 
1.5%
7080 2
 
1.5%
노래밤 2
 
1.5%
단란주점 2
 
1.5%
여보 2
 
1.5%
거래처 2
 
1.5%
Other values (106) 107
80.5%
2024-04-13T21:50:48.975384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
래 29
 
5.2%
이 29
 
5.2%
28
 
5.0%
노 26
 
4.7%
럽 13
 
2.3%
클 13
 
2.3%
라 12
 
2.1%
브 11
 
2.0%
) 10
 
1.8%
( 10
 
1.8%
Other values (177) 378
67.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 448
80.1%
Space Separator 28
 
5.0%
Decimal Number 27
 
4.8%
Uppercase Letter 27
 
4.8%
Close Punctuation 10
 
1.8%
Open Punctuation 10
 
1.8%
Lowercase Letter 7
 
1.3%
Other Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
래 29
 
6.5%
이 29
 
6.5%
노 26
 
5.8%
럽 13
 
2.9%
클 13
 
2.9%
라 12
 
2.7%
브 11
 
2.5%
점 9
 
2.0%
타 8
 
1.8%
바 7
 
1.6%
Other values (145) 291
65.0%
Uppercase Letter
ValueCountFrequency (%)
J 4
14.8%
S 3
11.1%
I 3
11.1%
A 2
 
7.4%
W 2
 
7.4%
M 2
 
7.4%
O 2
 
7.4%
V 1
 
3.7%
P 1
 
3.7%
B 1
 
3.7%
Other values (6) 6
22.2%
Decimal Number
ValueCountFrequency (%)
0 8
29.6%
2 5
18.5%
7 5
18.5%
8 4
14.8%
1 3
 
11.1%
5 2
 
7.4%
Lowercase Letter
ValueCountFrequency (%)
i 2
28.6%
r 1
14.3%
y 1
14.3%
a 1
14.3%
e 1
14.3%
v 1
14.3%
Space Separator
ValueCountFrequency (%)
28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 448
80.1%
Common 77
 
13.8%
Latin 34
 
6.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
래 29
 
6.5%
이 29
 
6.5%
노 26
 
5.8%
럽 13
 
2.9%
클 13
 
2.9%
라 12
 
2.7%
브 11
 
2.5%
점 9
 
2.0%
타 8
 
1.8%
바 7
 
1.6%
Other values (145) 291
65.0%
Latin
ValueCountFrequency (%)
J 4
 
11.8%
S 3
 
8.8%
I 3
 
8.8%
A 2
 
5.9%
W 2
 
5.9%
i 2
 
5.9%
M 2
 
5.9%
O 2
 
5.9%
V 1
 
2.9%
P 1
 
2.9%
Other values (12) 12
35.3%
Common
ValueCountFrequency (%)
28
36.4%
) 10
 
13.0%
( 10
 
13.0%
0 8
 
10.4%
2 5
 
6.5%
7 5
 
6.5%
8 4
 
5.2%
1 3
 
3.9%
5 2
 
2.6%
. 2
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 448
80.1%
ASCII 111
 
19.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
래 29
 
6.5%
이 29
 
6.5%
노 26
 
5.8%
럽 13
 
2.9%
클 13
 
2.9%
라 12
 
2.7%
브 11
 
2.5%
점 9
 
2.0%
타 8
 
1.8%
바 7
 
1.6%
Other values (145) 291
65.0%
ASCII
ValueCountFrequency (%)
28
25.2%
) 10
 
9.0%
( 10
 
9.0%
0 8
 
7.2%
2 5
 
4.5%
7 5
 
4.5%
J 4
 
3.6%
8 4
 
3.6%
1 3
 
2.7%
S 3
 
2.7%
Other values (22) 31
27.9%

소재지(도로명)
Text

Distinct103
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size968.0 B
2024-04-13T21:50:49.685588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length42
Mean length33.438095
Min length26

Characters and Unicode

Total characters3511
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

Unique101 ?
Unique (%)96.2%

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 105
 
16.2%
연수구 105
 
16.2%
지하1층 26
 
4.0%
옥련동 25
 
3.9%
동춘동 20
 
3.1%
연수동 18
 
2.8%
인권로 17
 
2.6%
지상2층 15
 
2.3%
용담로 14
 
2.2%
청학동 12
 
1.9%
Other values (150) 291
44.9%
2024-04-13T21:50:50.815249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
543
 
15.5%
1 178
 
5.1%
동 138
 
3.9%
수 130
 
3.7%
연 130
 
3.7%
인 123
 
3.5%
) 123
 
3.5%
( 123
 
3.5%
, 113
 
3.2%
시 110
 
3.1%
Other values (89) 1800
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2032
57.9%
Decimal Number 552
 
15.7%
Space Separator 543
 
15.5%
Close Punctuation 123
 
3.5%
Open Punctuation 123
 
3.5%
Other Punctuation 113
 
3.2%
Dash Punctuation 17
 
0.5%
Uppercase Letter 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 138
 
6.8%
수 130
 
6.4%
연 130
 
6.4%
인 123
 
6.1%
시 110
 
5.4%
로 109
 
5.4%
천 106
 
5.2%
역 105
 
5.2%
광 105
 
5.2%
구 105
 
5.2%
Other values (70) 871
42.9%
Decimal Number
ValueCountFrequency (%)
1 178
32.2%
2 88
15.9%
3 61
 
11.1%
7 47
 
8.5%
8 46
 
8.3%
0 34
 
6.2%
5 29
 
5.3%
4 26
 
4.7%
6 24
 
4.3%
9 19
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
M 2
25.0%
B 2
25.0%
G 2
25.0%
C 2
25.0%
Space Separator
ValueCountFrequency (%)
543
100.0%
Close Punctuation
ValueCountFrequency (%)
) 123
100.0%
Open Punctuation
ValueCountFrequency (%)
( 123
100.0%
Other Punctuation
ValueCountFrequency (%)
, 113
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2032
57.9%
Common 1471
41.9%
Latin 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 138
 
6.8%
수 130
 
6.4%
연 130
 
6.4%
인 123
 
6.1%
시 110
 
5.4%
로 109
 
5.4%
천 106
 
5.2%
역 105
 
5.2%
광 105
 
5.2%
구 105
 
5.2%
Other values (70) 871
42.9%
Common
ValueCountFrequency (%)
543
36.9%
1 178
 
12.1%
) 123
 
8.4%
( 123
 
8.4%
, 113
 
7.7%
2 88
 
6.0%
3 61
 
4.1%
7 47
 
3.2%
8 46
 
3.1%
0 34
 
2.3%
Other values (5) 115
 
7.8%
Latin
ValueCountFrequency (%)
M 2
25.0%
B 2
25.0%
G 2
25.0%
C 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2032
57.9%
ASCII 1479
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
543
36.7%
1 178
 
12.0%
) 123
 
8.3%
( 123
 
8.3%
, 113
 
7.6%
2 88
 
5.9%
3 61
 
4.1%
7 47
 
3.2%
8 46
 
3.1%
0 34
 
2.3%
Other values (9) 123
 
8.3%
Hangul
ValueCountFrequency (%)
동 138
 
6.8%
수 130
 
6.4%
연 130
 
6.4%
인 123
 
6.1%
시 110
 
5.4%
로 109
 
5.4%
천 106
 
5.2%
역 105
 
5.2%
광 105
 
5.2%
구 105
 
5.2%
Other values (70) 871
42.9%

소재지(지번)
Text

Distinct103
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size968.0 B
2024-04-13T21:50:51.792460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length40
Mean length27.266667
Min length18

Characters and Unicode

Total characters2863
Distinct characters79
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

Unique101 ?
Unique (%)96.2%

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 105
18.6%
연수구 105
18.6%
옥련동 33
 
5.9%
지하1층 29
 
5.1%
동춘동 28
 
5.0%
연수동 24
 
4.3%
청학동 18
 
3.2%
지상2층 14
 
2.5%
지상3층 10
 
1.8%
지상1층 8
 
1.4%
Other values (133) 190
33.7%
2024-04-13T21:50:53.182400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
557
19.5%
동 138
 
4.8%
연 130
 
4.5%
수 130
 
4.5%
1 112
 
3.9%
시 110
 
3.8%
천 106
 
3.7%
인 105
 
3.7%
광 105
 
3.7%
역 105
 
3.7%
Other values (69) 1265
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1559
54.5%
Decimal Number 604
 
21.1%
Space Separator 557
 
19.5%
Dash Punctuation 89
 
3.1%
Open Punctuation 19
 
0.7%
Close Punctuation 19
 
0.7%
Other Punctuation 8
 
0.3%
Uppercase Letter 8
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 138
 
8.9%
연 130
 
8.3%
수 130
 
8.3%
시 110
 
7.1%
천 106
 
6.8%
인 105
 
6.7%
광 105
 
6.7%
역 105
 
6.7%
구 105
 
6.7%
층 89
 
5.7%
Other values (50) 436
28.0%
Decimal Number
ValueCountFrequency (%)
1 112
18.5%
5 92
15.2%
3 66
10.9%
8 61
10.1%
0 60
9.9%
2 59
9.8%
4 47
7.8%
9 47
7.8%
7 35
 
5.8%
6 25
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
M 2
25.0%
B 2
25.0%
G 2
25.0%
C 2
25.0%
Space Separator
ValueCountFrequency (%)
557
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 89
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1559
54.5%
Common 1296
45.3%
Latin 8
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 138
 
8.9%
연 130
 
8.3%
수 130
 
8.3%
시 110
 
7.1%
천 106
 
6.8%
인 105
 
6.7%
광 105
 
6.7%
역 105
 
6.7%
구 105
 
6.7%
층 89
 
5.7%
Other values (50) 436
28.0%
Common
ValueCountFrequency (%)
557
43.0%
1 112
 
8.6%
5 92
 
7.1%
- 89
 
6.9%
3 66
 
5.1%
8 61
 
4.7%
0 60
 
4.6%
2 59
 
4.6%
4 47
 
3.6%
9 47
 
3.6%
Other values (5) 106
 
8.2%
Latin
ValueCountFrequency (%)
M 2
25.0%
B 2
25.0%
G 2
25.0%
C 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1559
54.5%
ASCII 1304
45.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
557
42.7%
1 112
 
8.6%
5 92
 
7.1%
- 89
 
6.8%
3 66
 
5.1%
8 61
 
4.7%
0 60
 
4.6%
2 59
 
4.5%
4 47
 
3.6%
9 47
 
3.6%
Other values (9) 114
 
8.7%
Hangul
ValueCountFrequency (%)
동 138
 
8.9%
연 130
 
8.3%
수 130
 
8.3%
시 110
 
7.1%
천 106
 
6.8%
인 105
 
6.7%
광 105
 
6.7%
역 105
 
6.7%
구 105
 
6.7%
층 89
 
5.7%
Other values (50) 436
28.0%

소재지전화
Text

MISSING 

Distinct69
Distinct (%)98.6%
Missing35
Missing (%)33.3%
Memory size968.0 B
2024-04-13T21:50:54.086376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.014286
Min length12

Characters and Unicode

Total characters841
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

Unique68 ?
Unique (%)97.1%

Sample

1st row032-832-5956
2nd row032-833-3755
3rd row032-834-7080
4th row032-821-0578
5th row032-834-2310
ValueCountFrequency (%)
032-815-4040 2
 
2.9%
032-818-7720 1
 
1.4%
032-818-1591 1
 
1.4%
032-833-8007 1
 
1.4%
032-815-7142 1
 
1.4%
032-832-6890 1
 
1.4%
032-833-2714 1
 
1.4%
032-833-8816 1
 
1.4%
032-831-9994 1
 
1.4%
032-833-5416 1
 
1.4%
Other values (59) 59
84.3%
2024-04-13T21:50:55.097950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 140
16.6%
3 132
15.7%
0 116
13.8%
2 105
12.5%
8 104
12.4%
1 72
8.6%
5 44
 
5.2%
4 44
 
5.2%
7 43
 
5.1%
9 27
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 701
83.4%
Dash Punctuation 140
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 132
18.8%
0 116
16.5%
2 105
15.0%
8 104
14.8%
1 72
10.3%
5 44
 
6.3%
4 44
 
6.3%
7 43
 
6.1%
9 27
 
3.9%
6 14
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 140
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 841
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 140
16.6%
3 132
15.7%
0 116
13.8%
2 105
12.5%
8 104
12.4%
1 72
8.6%
5 44
 
5.2%
4 44
 
5.2%
7 43
 
5.1%
9 27
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 841
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 140
16.6%
3 132
15.7%
0 116
13.8%
2 105
12.5%
8 104
12.4%
1 72
8.6%
5 44
 
5.2%
4 44
 
5.2%
7 43
 
5.1%
9 27
 
3.2%

Interactions

2024-04-13T21:50:44.244437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-13T21:50:55.261007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명소재지전화
연번1.0000.9991.000
업종명0.9991.0001.000
소재지전화1.0001.0001.000
2024-04-13T21:50:55.404678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명
연번1.0000.938
업종명0.9381.000

Missing values

2024-04-13T21:50:44.575792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-13T21:50:44.929669image/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
01유흥주점영업만남 가요방인천광역시 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
78유흥주점영업개나리인천광역시 연수구 인권로 21, 지하2층 (옥련동)인천광역시 연수구 옥련동 538-3 지하2층032-834-2310
89유흥주점영업놀이터인천광역시 연수구 인권로 21 (옥련동, 지상3층)인천광역시 연수구 옥련동 538-3 지상3층032-834-8100
910유흥주점영업명품인천광역시 연수구 용담로 87, 지상4층 (청학동)인천광역시 연수구 청학동 500 지상4층032-811-6755
연번업종명업소명소재지(도로명)소재지(지번)소재지전화
9596단란주점해적노래타운인천광역시 연수구 먼우금로 190, 연수프라자 2층 209일부호 (연수동)인천광역시 연수구 연수동 597-4 연수프라자 209일부호<NA>
9697단란주점놀이터7080인천광역시 연수구 청능대로113번길 41, 지상2층 201호 (연수동)인천광역시 연수구 연수동 598-3 201호032-817-8797
9798단란주점만남의 단란주점인천광역시 연수구 청능대로113번길 43 (연수동, 지하1층)인천광역시 연수구 연수동 598-2 지하1층032-815-3399
9899단란주점야수뮤직타운단란주점인천광역시 연수구 청능대로113번길 41 (연수동, 202호)인천광역시 연수구 연수동 598-3 202호032-818-7720
99100단란주점씽씽노래빠인천광역시 연수구 청능대로113번길 31 (연수동, 301호)인천광역시 연수구 연수동 598-6 301호032-822-1117
100101단란주점썸단란주점인천광역시 연수구 용담로 115, 204호 (연수동)인천광역시 연수구 연수동 596-7<NA>
101102단란주점가무인천광역시 연수구 능허대로267번길 34, 지상1층 (동춘동)인천광역시 연수구 동춘동 813-4 지상1층 일부<NA>
102103단란주점새로이인천광역시 연수구 능허대로267번길 7, 지하1층 (동춘동)인천광역시 연수구 동춘동 817-5 지하1층<NA>
103104단란주점링코노래타운 연수2호점인천광역시 연수구 먼우금로188번길 17, 선우빌딩 2층 일부호 (연수동)인천광역시 연수구 연수동 598-10 선우빌딩 2층 일부<NA>
104105단란주점라이브 퀸인천광역시 연수구 앵고개로246번길 39-24, 예은빌딩 3층 (동춘동)인천광역시 연수구 동춘동 933-16 예은빌딩<NA>