Overview

Dataset statistics

Number of variables6
Number of observations264
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.8 KiB
Average record size in memory49.5 B

Variable types

Numeric1
Categorical2
Text3

Dataset

Description인천광역시 남동구 유흥단란주점현황에 대한 데이터로 연번, 업종명, 업소명, 소재지(도로명), 소재지(지번) 항목을 개방합니다.
Author인천광역시 남동구
URLhttps://www.data.go.kr/data/15067440/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 업종명High correlation
업종명 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:20:48.722774
Analysis finished2023-12-12 11:20:50.223467
Duration1.5 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct264
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean132.5
Minimum1
Maximum264
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-12T20:20:50.349201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14.15
Q166.75
median132.5
Q3198.25
95-th percentile250.85
Maximum264
Range263
Interquartile range (IQR)131.5

Descriptive statistics

Standard deviation76.354437
Coefficient of variation (CV)0.5762599
Kurtosis-1.2
Mean132.5
Median Absolute Deviation (MAD)66
Skewness0
Sum34980
Variance5830
MonotonicityStrictly increasing
2023-12-12T20:20:50.633864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
183 1
 
0.4%
169 1
 
0.4%
170 1
 
0.4%
171 1
 
0.4%
172 1
 
0.4%
173 1
 
0.4%
174 1
 
0.4%
175 1
 
0.4%
176 1
 
0.4%
Other values (254) 254
96.2%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
264 1
0.4%
263 1
0.4%
262 1
0.4%
261 1
0.4%
260 1
0.4%
259 1
0.4%
258 1
0.4%
257 1
0.4%
256 1
0.4%
255 1
0.4%

업종명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
유흥주점영업
186 
단란주점
78 

Length

Max length6
Median length6
Mean length5.4090909
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유흥주점영업 186
70.5%
단란주점 78
29.5%

Length

2023-12-12T20:20:50.924407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:20:51.130440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유흥주점영업 186
70.5%
단란주점 78
29.5%

업소명
Text

Distinct258
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-12T20:20:51.566760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length18
Mean length6.3295455
Min length1

Characters and Unicode

Total characters1671
Distinct characters311
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique252 ?
Unique (%)95.5%

Sample

1st row로얄노래주점
2nd row퀸비
3rd row스탠드바변강쇠
4th row다국적클럽
5th row차차차 민속주점
ValueCountFrequency (%)
노래클럽 3
 
1.1%
7080 2
 
0.7%
다국적 2
 
0.7%
라이브 2
 
0.7%
노래타운 2
 
0.7%
주준코소주호프노래타운 2
 
0.7%
다국적노래클럽 2
 
0.7%
로마 2
 
0.7%
큐브 2
 
0.7%
베트남노래클럽 2
 
0.7%
Other values (262) 263
92.6%
2023-12-12T20:20:52.281919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
래 125
 
7.5%
노 121
 
7.2%
주 78
 
4.7%
점 73
 
4.4%
이 53
 
3.2%
0 52
 
3.1%
럽 50
 
3.0%
클 45
 
2.7%
타 39
 
2.3%
라 37
 
2.2%
Other values (301) 998
59.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1425
85.3%
Decimal Number 115
 
6.9%
Uppercase Letter 49
 
2.9%
Lowercase Letter 26
 
1.6%
Space Separator 20
 
1.2%
Close Punctuation 17
 
1.0%
Open Punctuation 17
 
1.0%
Dash Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
래 125
 
8.8%
노 121
 
8.5%
주 78
 
5.5%
점 73
 
5.1%
이 53
 
3.7%
럽 50
 
3.5%
클 45
 
3.2%
타 39
 
2.7%
라 37
 
2.6%
운 32
 
2.2%
Other values (258) 772
54.2%
Uppercase Letter
ValueCountFrequency (%)
A 7
14.3%
L 7
14.3%
I 5
10.2%
N 4
 
8.2%
D 3
 
6.1%
E 3
 
6.1%
C 2
 
4.1%
V 2
 
4.1%
S 2
 
4.1%
M 2
 
4.1%
Other values (10) 12
24.5%
Lowercase Letter
ValueCountFrequency (%)
e 5
19.2%
i 5
19.2%
f 2
 
7.7%
v 2
 
7.7%
o 2
 
7.7%
a 2
 
7.7%
g 2
 
7.7%
n 2
 
7.7%
r 1
 
3.8%
d 1
 
3.8%
Other values (2) 2
 
7.7%
Decimal Number
ValueCountFrequency (%)
0 52
45.2%
8 27
23.5%
7 25
21.7%
2 4
 
3.5%
9 4
 
3.5%
1 3
 
2.6%
Space Separator
ValueCountFrequency (%)
20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1424
85.2%
Common 171
 
10.2%
Latin 75
 
4.5%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
래 125
 
8.8%
노 121
 
8.5%
주 78
 
5.5%
점 73
 
5.1%
이 53
 
3.7%
럽 50
 
3.5%
클 45
 
3.2%
타 39
 
2.7%
라 37
 
2.6%
운 32
 
2.2%
Other values (257) 771
54.1%
Latin
ValueCountFrequency (%)
A 7
 
9.3%
L 7
 
9.3%
e 5
 
6.7%
i 5
 
6.7%
I 5
 
6.7%
N 4
 
5.3%
D 3
 
4.0%
E 3
 
4.0%
f 2
 
2.7%
v 2
 
2.7%
Other values (22) 32
42.7%
Common
ValueCountFrequency (%)
0 52
30.4%
8 27
15.8%
7 25
14.6%
20
 
11.7%
) 17
 
9.9%
( 17
 
9.9%
2 4
 
2.3%
9 4
 
2.3%
1 3
 
1.8%
- 1
 
0.6%
Han
ValueCountFrequency (%)
酒 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1424
85.2%
ASCII 246
 
14.7%
CJK 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
래 125
 
8.8%
노 121
 
8.5%
주 78
 
5.5%
점 73
 
5.1%
이 53
 
3.7%
럽 50
 
3.5%
클 45
 
3.2%
타 39
 
2.7%
라 37
 
2.6%
운 32
 
2.2%
Other values (257) 771
54.1%
ASCII
ValueCountFrequency (%)
0 52
21.1%
8 27
11.0%
7 25
 
10.2%
20
 
8.1%
) 17
 
6.9%
( 17
 
6.9%
A 7
 
2.8%
L 7
 
2.8%
e 5
 
2.0%
i 5
 
2.0%
Other values (33) 64
26.0%
CJK
ValueCountFrequency (%)
酒 1
100.0%

소재지(도로명)
Text

Distinct263
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-12T20:20:52.751234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length41
Mean length35.689394
Min length24

Characters and Unicode

Total characters9422
Distinct characters155
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

Unique262 ?
Unique (%)99.2%

Sample

1st row인천광역시 남동구 경인로626번길 25, 1층 (간석동)
2nd row인천광역시 남동구 경인로626번길 25, 지하1층 (간석동)
3rd row인천광역시 남동구 남동대로 923, 지하1층 (간석동)
4th row인천광역시 남동구 남동대로922번길 39 (간석동, 지하1층 )
5th row인천광역시 남동구 백범로 325-2, 지하1층 (간석동)
ValueCountFrequency (%)
인천광역시 264
 
14.7%
남동구 264
 
14.7%
간석동 115
 
6.4%
구월동 72
 
4.0%
논현동 63
 
3.5%
지하1층 59
 
3.3%
2층 54
 
3.0%
3층 36
 
2.0%
남동대로922번길 25
 
1.4%
4층 20
 
1.1%
Other values (323) 823
45.8%
2023-12-12T20:20:53.460206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1531
 
16.2%
동 604
 
6.4%
구 361
 
3.8%
2 336
 
3.6%
남 334
 
3.5%
1 325
 
3.4%
, 322
 
3.4%
인 311
 
3.3%
역 292
 
3.1%
천 279
 
3.0%
Other values (145) 4727
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5344
56.7%
Decimal Number 1632
 
17.3%
Space Separator 1531
 
16.2%
Other Punctuation 323
 
3.4%
Open Punctuation 270
 
2.9%
Close Punctuation 270
 
2.9%
Dash Punctuation 44
 
0.5%
Uppercase Letter 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 604
 
11.3%
구 361
 
6.8%
남 334
 
6.2%
인 311
 
5.8%
역 292
 
5.5%
천 279
 
5.2%
시 270
 
5.1%
로 270
 
5.1%
광 268
 
5.0%
층 221
 
4.1%
Other values (126) 2134
39.9%
Decimal Number
ValueCountFrequency (%)
2 336
20.6%
1 325
19.9%
3 203
12.4%
0 168
10.3%
4 167
10.2%
9 118
 
7.2%
5 100
 
6.1%
6 100
 
6.1%
7 65
 
4.0%
8 50
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
B 6
75.0%
A 1
 
12.5%
S 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 322
99.7%
& 1
 
0.3%
Space Separator
ValueCountFrequency (%)
1531
100.0%
Open Punctuation
ValueCountFrequency (%)
( 270
100.0%
Close Punctuation
ValueCountFrequency (%)
) 270
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5344
56.7%
Common 4070
43.2%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 604
 
11.3%
구 361
 
6.8%
남 334
 
6.2%
인 311
 
5.8%
역 292
 
5.5%
천 279
 
5.2%
시 270
 
5.1%
로 270
 
5.1%
광 268
 
5.0%
층 221
 
4.1%
Other values (126) 2134
39.9%
Common
ValueCountFrequency (%)
1531
37.6%
2 336
 
8.3%
1 325
 
8.0%
, 322
 
7.9%
( 270
 
6.6%
) 270
 
6.6%
3 203
 
5.0%
0 168
 
4.1%
4 167
 
4.1%
9 118
 
2.9%
Other values (6) 360
 
8.8%
Latin
ValueCountFrequency (%)
B 6
75.0%
A 1
 
12.5%
S 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5344
56.7%
ASCII 4078
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1531
37.5%
2 336
 
8.2%
1 325
 
8.0%
, 322
 
7.9%
( 270
 
6.6%
) 270
 
6.6%
3 203
 
5.0%
0 168
 
4.1%
4 167
 
4.1%
9 118
 
2.9%
Other values (9) 368
 
9.0%
Hangul
ValueCountFrequency (%)
동 604
 
11.3%
구 361
 
6.8%
남 334
 
6.2%
인 311
 
5.8%
역 292
 
5.5%
천 279
 
5.2%
시 270
 
5.1%
로 270
 
5.1%
광 268
 
5.0%
층 221
 
4.1%
Other values (126) 2134
39.9%

소재지(지번)
Text

Distinct260
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-12T20:20:54.103855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length38
Mean length28.42803
Min length19

Characters and Unicode

Total characters7505
Distinct characters141
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

Unique256 ?
Unique (%)97.0%

Sample

1st row인천광역시 남동구 간석동 277-5 1층전부
2nd row인천광역시 남동구 간석동 277-5 지하1층
3rd row인천광역시 남동구 간석동 276-7 지하1층전체
4th row인천광역시 남동구 간석동 174-24 지하1층
5th row인천광역시 남동구 간석동 122-8
ValueCountFrequency (%)
인천광역시 264
18.0%
남동구 264
18.0%
간석동 121
 
8.2%
구월동 72
 
4.9%
논현동 66
 
4.5%
지하1층 42
 
2.9%
2층 28
 
1.9%
3층 12
 
0.8%
지하1층전부 12
 
0.8%
4층 11
 
0.7%
Other values (323) 576
39.2%
2023-12-12T20:20:54.851486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1420
18.9%
동 541
 
7.2%
1 495
 
6.6%
구 343
 
4.6%
인 273
 
3.6%
시 270
 
3.6%
남 268
 
3.6%
광 268
 
3.6%
천 267
 
3.6%
- 266
 
3.5%
Other values (131) 3094
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4055
54.0%
Decimal Number 1716
22.9%
Space Separator 1420
 
18.9%
Dash Punctuation 266
 
3.5%
Open Punctuation 20
 
0.3%
Close Punctuation 20
 
0.3%
Other Punctuation 5
 
0.1%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 541
13.3%
구 343
 
8.5%
인 273
 
6.7%
시 270
 
6.7%
남 268
 
6.6%
광 268
 
6.6%
천 267
 
6.6%
역 265
 
6.5%
층 163
 
4.0%
석 122
 
3.0%
Other values (113) 1275
31.4%
Decimal Number
ValueCountFrequency (%)
1 495
28.8%
2 266
15.5%
3 176
 
10.3%
7 158
 
9.2%
4 153
 
8.9%
6 149
 
8.7%
0 129
 
7.5%
5 83
 
4.8%
8 72
 
4.2%
9 35
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
& 1
 
20.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
S 1
33.3%
Space Separator
ValueCountFrequency (%)
1420
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 266
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4055
54.0%
Common 3447
45.9%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 541
13.3%
구 343
 
8.5%
인 273
 
6.7%
시 270
 
6.7%
남 268
 
6.6%
광 268
 
6.6%
천 267
 
6.6%
역 265
 
6.5%
층 163
 
4.0%
석 122
 
3.0%
Other values (113) 1275
31.4%
Common
ValueCountFrequency (%)
1420
41.2%
1 495
 
14.4%
- 266
 
7.7%
2 266
 
7.7%
3 176
 
5.1%
7 158
 
4.6%
4 153
 
4.4%
6 149
 
4.3%
0 129
 
3.7%
5 83
 
2.4%
Other values (6) 152
 
4.4%
Latin
ValueCountFrequency (%)
B 2
66.7%
S 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4055
54.0%
ASCII 3450
46.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1420
41.2%
1 495
 
14.3%
- 266
 
7.7%
2 266
 
7.7%
3 176
 
5.1%
7 158
 
4.6%
4 153
 
4.4%
6 149
 
4.3%
0 129
 
3.7%
5 83
 
2.4%
Other values (8) 155
 
4.5%
Hangul
ValueCountFrequency (%)
동 541
13.3%
구 343
 
8.5%
인 273
 
6.7%
시 270
 
6.7%
남 268
 
6.6%
광 268
 
6.6%
천 267
 
6.6%
역 265
 
6.5%
층 163
 
4.0%
석 122
 
3.0%
Other values (113) 1275
31.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-09-11
264 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-11
2nd row2023-09-11
3rd row2023-09-11
4th row2023-09-11
5th row2023-09-11

Common Values

ValueCountFrequency (%)
2023-09-11 264
100.0%

Length

2023-12-12T20:20:55.066759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:20:55.198960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-11 264
100.0%

Interactions

2023-12-12T20:20:49.331895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:20:55.272030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명
연번1.0001.000
업종명1.0001.000
2023-12-12T20:20:55.395548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명
연번1.0000.976
업종명0.9761.000

Missing values

2023-12-12T20:20:49.509078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:20:50.146401image/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)데이터기준일자
01유흥주점영업로얄노래주점인천광역시 남동구 경인로626번길 25, 1층 (간석동)인천광역시 남동구 간석동 277-5 1층전부2023-09-11
12유흥주점영업퀸비인천광역시 남동구 경인로626번길 25, 지하1층 (간석동)인천광역시 남동구 간석동 277-5 지하1층2023-09-11
23유흥주점영업스탠드바변강쇠인천광역시 남동구 남동대로 923, 지하1층 (간석동)인천광역시 남동구 간석동 276-7 지하1층전체2023-09-11
34유흥주점영업다국적클럽인천광역시 남동구 남동대로922번길 39 (간석동, 지하1층 )인천광역시 남동구 간석동 174-24 지하1층2023-09-11
45유흥주점영업차차차 민속주점인천광역시 남동구 백범로 325-2, 지하1층 (간석동)인천광역시 남동구 간석동 122-82023-09-11
56유흥주점영업백악관카바레인천광역시 남동구 용천로 154 (간석동, 지하1층)인천광역시 남동구 간석동 39-8 지하1층2023-09-11
67유흥주점영업아리랑인천광역시 남동구 남동대로 923, 3층 (간석동)인천광역시 남동구 간석동 276-7 3층전부2023-09-11
78유흥주점영업대우인천광역시 남동구 석촌로 43, 4층 (간석동)인천광역시 남동구 간석동 211-5 외1필지 4층전체2023-09-11
89유흥주점영업투페이스인천광역시 남동구 남동대로 920, 801호 (간석동, 대원플라자)인천광역시 남동구 간석동 211-2 (남동대로 920) 대원플라자 801호2023-09-11
910유흥주점영업비밀인천광역시 남동구 남동대로922번길 25 (간석동, 지하1층전부)인천광역시 남동구 간석동 174-3 지하1층전부2023-09-11
연번업종명업소명소재지(도로명)소재지(지번)데이터기준일자
254255단란주점아이앤디(IND)-88클럽인천광역시 남동구 경인로 607, 관광나이트런던 지하1층 2호 (간석동)인천광역시 남동구 간석동 250-3 관광나이트런던2023-09-11
255256단란주점소래왕라이브인천광역시 남동구 소래역로 20, 2층 201호 (논현동)인천광역시 남동구 논현동 679-3 201호2023-09-11
256257단란주점펄라이브인천광역시 남동구 논고개로 120, 논현프라자 301-1호 (논현동)인천광역시 남동구 논현동 616-1 논현프라자 301-1호2023-09-11
257258단란주점놀자라이브7080인천광역시 남동구 선수촌공원로23번길 10-10, 솔보프라자 3층 301호 (구월동)인천광역시 남동구 구월동 1540-1 솔보프라자(상업7-1-1)2023-09-11
258259단란주점에이스단란주점인천광역시 남동구 백범로 320, 지하1층 (간석동)인천광역시 남동구 간석동 42-2 지하1층2023-09-11
259260단란주점명품 단란주점인천광역시 남동구 선수촌공원로 37, 중앙프라자 3층 302호 (구월동)인천광역시 남동구 구월동 1533-3 중앙프라자 3층 302호2023-09-11
260261단란주점덤라이브인천광역시 남동구 선수촌공원로23번길 10-6, 은성프라자 2층 201호 (구월동)인천광역시 남동구 구월동 1540-2 은성프라자 201호2023-09-11
261262단란주점깐부라이브7080인천광역시 남동구 선수촌공원로23번길 10-16, 금산빌딩 3층 301호 (구월동)인천광역시 남동구 구월동 1537-2 금산빌딩 3층 301호2023-09-11
262263단란주점7080콘서트인천광역시 남동구 남동대로921번길 15, 1층 101호 (간석동)인천광역시 남동구 간석동 314-1 1층 101호2023-09-11
263264단란주점오늘은 라이브인천광역시 남동구 선수촌공원로23번길 6-21, B&S빌딩 2층 201호 (구월동)인천광역시 남동구 구월동 1538-1 B&S빌딩 2층 201호2023-09-11