Overview

Dataset statistics

Number of variables7
Number of observations146
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.3 KiB
Average record size in memory57.9 B

Variable types

Categorical3
Numeric1
Text3

Dataset

Description김포시 유흥주점(업종명,업태명,인허가번호,업소명,소재지(도로명,지번),데이터기준일자 등)의 데이터를 제공하고 있습니다.
Author경기도 김포시
URLhttps://www.data.go.kr/data/15113601/fileData.do

Alerts

업종명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
업태명 is highly imbalanced (73.7%)Imbalance
인허가번호 has unique valuesUnique

Reproduction

Analysis started2024-04-29 23:09:50.194325
Analysis finished2024-04-29 23:09:51.890776
Duration1.7 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
유흥주점영업
146 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유흥주점영업 146
100.0%

Length

2024-04-30T08:09:51.961996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T08:09:52.066197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유흥주점영업 146
100.0%

업태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
룸살롱
132 
노래클럽
 
12
고고(디스코)클럽
 
1
기타
 
1

Length

Max length9
Median length3
Mean length3.1164384
Min length2

Unique

Unique2 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
룸살롱 132
90.4%
노래클럽 12
 
8.2%
고고(디스코)클럽 1
 
0.7%
기타 1
 
0.7%

Length

2024-04-30T08:09:52.170823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T08:09:52.272861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
룸살롱 132
90.4%
노래클럽 12
 
8.2%
고고(디스코)클럽 1
 
0.7%
기타 1
 
0.7%

인허가번호
Real number (ℝ)

UNIQUE 

Distinct146
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0145115 × 1010
Minimum1.9830362 × 1010
Maximum2.0230513 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-30T08:09:52.390458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9830362 × 1010
5-th percentile1.9955362 × 1010
Q12.0142862 × 1010
median2.0180379 × 1010
Q32.0200379 × 1010
95-th percentile2.0230511 × 1010
Maximum2.0230513 × 1010
Range4.0015109 × 108
Interquartile range (IQR)57516934

Descriptive statistics

Standard deviation92944410
Coefficient of variation (CV)0.0046137442
Kurtosis2.0885513
Mean2.0145115 × 1010
Median Absolute Deviation (MAD)20000982
Skewness-1.6848092
Sum2.9411868 × 1012
Variance8.6386633 × 1015
MonotonicityNot monotonic
2024-04-30T08:09:52.523985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19830362017 1
 
0.7%
20200379376 1
 
0.7%
20190379495 1
 
0.7%
20190379545 1
 
0.7%
20190379888 1
 
0.7%
20190379976 1
 
0.7%
20190379977 1
 
0.7%
20190380121 1
 
0.7%
20190380147 1
 
0.7%
20200378270 1
 
0.7%
Other values (136) 136
93.2%
ValueCountFrequency (%)
19830362017 1
0.7%
19840362017 1
0.7%
19870362034 1
0.7%
19880362004 1
0.7%
19880362015 1
0.7%
19880362024 1
0.7%
19890362061 1
0.7%
19950362171 1
0.7%
19970362086 1
0.7%
19970362233 1
0.7%
ValueCountFrequency (%)
20230513105 1
0.7%
20230512836 1
0.7%
20230512508 1
0.7%
20230511992 1
0.7%
20230511989 1
0.7%
20230511988 1
0.7%
20230511738 1
0.7%
20230511448 1
0.7%
20230511447 1
0.7%
20230511387 1
0.7%

업소명
Text

Distinct144
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-30T08:09:52.732678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length18
Mean length6
Min length1

Characters and Unicode

Total characters876
Distinct characters242
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

Unique142 ?
Unique (%)97.3%

Sample

1st row빨간풍차가요주점
2nd row다이랑노래빠
3rd row아시아 가라오케 (Asia karaoke)
4th row에이스
5th row왕과왕비
ValueCountFrequency (%)
karaoke 4
 
2.4%
노래빠 3
 
1.8%
베트남노래클럽 2
 
1.2%
준코뮤직타운 2
 
1.2%
에이스 2
 
1.2%
수 2
 
1.2%
가라오케 2
 
1.2%
황진이 2
 
1.2%
탑쓰노래짱 1
 
0.6%
노을 1
 
0.6%
Other values (145) 145
87.3%
2024-04-30T08:09:53.069921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
래 96
 
11.0%
노 94
 
10.7%
짱 36
 
4.1%
20
 
2.3%
이 19
 
2.2%
클 18
 
2.1%
럽 18
 
2.1%
라 17
 
1.9%
바 16
 
1.8%
스 13
 
1.5%
Other values (232) 529
60.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 758
86.5%
Uppercase Letter 42
 
4.8%
Decimal Number 28
 
3.2%
Space Separator 20
 
2.3%
Lowercase Letter 16
 
1.8%
Close Punctuation 5
 
0.6%
Open Punctuation 5
 
0.6%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
래 96
 
12.7%
노 94
 
12.4%
짱 36
 
4.7%
이 19
 
2.5%
클 18
 
2.4%
럽 18
 
2.4%
라 17
 
2.2%
바 16
 
2.1%
스 13
 
1.7%
빠 13
 
1.7%
Other values (198) 418
55.1%
Uppercase Letter
ValueCountFrequency (%)
A 9
21.4%
K 7
16.7%
E 5
11.9%
R 3
 
7.1%
I 3
 
7.1%
O 3
 
7.1%
S 3
 
7.1%
N 2
 
4.8%
V 1
 
2.4%
P 1
 
2.4%
Other values (5) 5
11.9%
Decimal Number
ValueCountFrequency (%)
0 12
42.9%
7 6
21.4%
8 5
17.9%
2 2
 
7.1%
1 1
 
3.6%
6 1
 
3.6%
9 1
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
a 5
31.2%
k 3
18.8%
e 2
 
12.5%
o 2
 
12.5%
r 2
 
12.5%
s 1
 
6.2%
i 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
? 1
50.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 758
86.5%
Common 60
 
6.8%
Latin 58
 
6.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
래 96
 
12.7%
노 94
 
12.4%
짱 36
 
4.7%
이 19
 
2.5%
클 18
 
2.4%
럽 18
 
2.4%
라 17
 
2.2%
바 16
 
2.1%
스 13
 
1.7%
빠 13
 
1.7%
Other values (198) 418
55.1%
Latin
ValueCountFrequency (%)
A 9
15.5%
K 7
12.1%
E 5
 
8.6%
a 5
 
8.6%
R 3
 
5.2%
I 3
 
5.2%
O 3
 
5.2%
k 3
 
5.2%
S 3
 
5.2%
e 2
 
3.4%
Other values (12) 15
25.9%
Common
ValueCountFrequency (%)
20
33.3%
0 12
20.0%
7 6
 
10.0%
) 5
 
8.3%
8 5
 
8.3%
( 5
 
8.3%
2 2
 
3.3%
1 1
 
1.7%
6 1
 
1.7%
9 1
 
1.7%
Other values (2) 2
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 758
86.5%
ASCII 118
 
13.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
래 96
 
12.7%
노 94
 
12.4%
짱 36
 
4.7%
이 19
 
2.5%
클 18
 
2.4%
럽 18
 
2.4%
라 17
 
2.2%
바 16
 
2.1%
스 13
 
1.7%
빠 13
 
1.7%
Other values (198) 418
55.1%
ASCII
ValueCountFrequency (%)
20
16.9%
0 12
 
10.2%
A 9
 
7.6%
K 7
 
5.9%
7 6
 
5.1%
E 5
 
4.2%
) 5
 
4.2%
8 5
 
4.2%
a 5
 
4.2%
( 5
 
4.2%
Other values (24) 39
33.1%

소재지(도로명)
Text

Distinct142
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-30T08:09:53.288521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length43
Mean length34.69863
Min length18

Characters and Unicode

Total characters5066
Distinct characters108
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique138 ?
Unique (%)94.5%

Sample

1st row경기도 김포시 양촌읍 양곡로 541
2nd row경기도 김포시 통진읍 조강로 66-9
3rd row경기도 김포시 통진읍 조강로 66-13
4th row경기도 김포시 월곶면 오리정로 118
5th row경기도 김포시 북변중로68번길 16 (북변동)
ValueCountFrequency (%)
경기도 146
 
14.4%
김포시 146
 
14.4%
구래동 98
 
9.7%
김포한강9로75번길 59
 
5.8%
통진읍 34
 
3.4%
3층 31
 
3.1%
김포한강9로 28
 
2.8%
서암로 17
 
1.7%
2층 15
 
1.5%
80 12
 
1.2%
Other values (185) 428
42.2%
2024-04-30T08:09:53.656209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
989
 
19.5%
포 257
 
5.1%
김 254
 
5.0%
0 167
 
3.3%
경 155
 
3.1%
시 147
 
2.9%
로 146
 
2.9%
도 146
 
2.9%
기 146
 
2.9%
9 134
 
2.6%
Other values (98) 2525
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2754
54.4%
Decimal Number 1054
 
20.8%
Space Separator 989
 
19.5%
Close Punctuation 120
 
2.4%
Open Punctuation 120
 
2.4%
Dash Punctuation 24
 
0.5%
Math Symbol 2
 
< 0.1%
Uppercase Letter 2
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
포 257
 
9.3%
김 254
 
9.2%
경 155
 
5.6%
시 147
 
5.3%
로 146
 
5.3%
도 146
 
5.3%
기 146
 
5.3%
강 116
 
4.2%
동 109
 
4.0%
한 107
 
3.9%
Other values (81) 1171
42.5%
Decimal Number
ValueCountFrequency (%)
0 167
15.8%
9 134
12.7%
1 127
12.0%
3 125
11.9%
5 118
11.2%
7 103
9.8%
2 96
9.1%
6 72
6.8%
4 63
 
6.0%
8 49
 
4.6%
Space Separator
ValueCountFrequency (%)
989
100.0%
Close Punctuation
ValueCountFrequency (%)
) 120
100.0%
Open Punctuation
ValueCountFrequency (%)
( 120
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2754
54.4%
Common 2309
45.6%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
포 257
 
9.3%
김 254
 
9.2%
경 155
 
5.6%
시 147
 
5.3%
로 146
 
5.3%
도 146
 
5.3%
기 146
 
5.3%
강 116
 
4.2%
동 109
 
4.0%
한 107
 
3.9%
Other values (81) 1171
42.5%
Common
ValueCountFrequency (%)
989
42.8%
0 167
 
7.2%
9 134
 
5.8%
1 127
 
5.5%
3 125
 
5.4%
) 120
 
5.2%
( 120
 
5.2%
5 118
 
5.1%
7 103
 
4.5%
2 96
 
4.2%
Other values (5) 210
 
9.1%
Latin
ValueCountFrequency (%)
B 2
66.7%
Ⅱ 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2754
54.4%
ASCII 2311
45.6%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
989
42.8%
0 167
 
7.2%
9 134
 
5.8%
1 127
 
5.5%
3 125
 
5.4%
) 120
 
5.2%
( 120
 
5.2%
5 118
 
5.1%
7 103
 
4.5%
2 96
 
4.2%
Other values (6) 212
 
9.2%
Hangul
ValueCountFrequency (%)
포 257
 
9.3%
김 254
 
9.2%
경 155
 
5.6%
시 147
 
5.3%
로 146
 
5.3%
도 146
 
5.3%
기 146
 
5.3%
강 116
 
4.2%
동 109
 
4.0%
한 107
 
3.9%
Other values (81) 1171
42.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지(지번)
Text

Distinct123
Distinct (%)84.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-30T08:09:53.967150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length35
Mean length26.232877
Min length18

Characters and Unicode

Total characters3830
Distinct characters99
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

Unique111 ?
Unique (%)76.0%

Sample

1st row경기도 김포시 양촌읍 양곡리 416-16
2nd row경기도 김포시 통진읍 서암리 725-2
3rd row경기도 김포시 통진읍 서암리 759-45
4th row경기도 김포시 월곶면 갈산리 485-1
5th row경기도 김포시 북변동 375-1
ValueCountFrequency (%)
경기도 146
18.3%
김포시 146
18.3%
구래동 98
 
12.3%
통진읍 34
 
4.3%
서암리 17
 
2.1%
마송리 17
 
2.1%
6883-8 12
 
1.5%
6882-5 11
 
1.4%
이너매스한강 11
 
1.4%
다온프라자 10
 
1.3%
Other values (153) 296
37.1%
2024-04-30T08:09:54.402594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
727
19.0%
8 237
 
6.2%
1 154
 
4.0%
- 151
 
3.9%
포 149
 
3.9%
경 148
 
3.9%
시 147
 
3.8%
도 146
 
3.8%
김 146
 
3.8%
기 146
 
3.8%
Other values (89) 1679
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1885
49.2%
Decimal Number 1048
27.4%
Space Separator 727
 
19.0%
Dash Punctuation 151
 
3.9%
Close Punctuation 8
 
0.2%
Open Punctuation 8
 
0.2%
Math Symbol 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
포 149
 
7.9%
경 148
 
7.9%
시 147
 
7.8%
도 146
 
7.7%
김 146
 
7.7%
기 146
 
7.7%
동 108
 
5.7%
래 103
 
5.5%
구 98
 
5.2%
호 79
 
4.2%
Other values (74) 615
32.6%
Decimal Number
ValueCountFrequency (%)
8 237
22.6%
1 154
14.7%
6 120
11.5%
0 111
10.6%
2 109
10.4%
3 104
9.9%
5 71
 
6.8%
4 53
 
5.1%
7 51
 
4.9%
9 38
 
3.6%
Space Separator
ValueCountFrequency (%)
727
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 151
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1945
50.8%
Hangul 1885
49.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
포 149
 
7.9%
경 148
 
7.9%
시 147
 
7.8%
도 146
 
7.7%
김 146
 
7.7%
기 146
 
7.7%
동 108
 
5.7%
래 103
 
5.5%
구 98
 
5.2%
호 79
 
4.2%
Other values (74) 615
32.6%
Common
ValueCountFrequency (%)
727
37.4%
8 237
 
12.2%
1 154
 
7.9%
- 151
 
7.8%
6 120
 
6.2%
0 111
 
5.7%
2 109
 
5.6%
3 104
 
5.3%
5 71
 
3.7%
4 53
 
2.7%
Other values (5) 108
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1945
50.8%
Hangul 1885
49.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
727
37.4%
8 237
 
12.2%
1 154
 
7.9%
- 151
 
7.8%
6 120
 
6.2%
0 111
 
5.7%
2 109
 
5.6%
3 104
 
5.3%
5 71
 
3.7%
4 53
 
2.7%
Other values (5) 108
 
5.6%
Hangul
ValueCountFrequency (%)
포 149
 
7.9%
경 148
 
7.9%
시 147
 
7.8%
도 146
 
7.7%
김 146
 
7.7%
기 146
 
7.7%
동 108
 
5.7%
래 103
 
5.5%
구 98
 
5.2%
호 79
 
4.2%
Other values (74) 615
32.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-23
146 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-04-23
2nd row2024-04-23
3rd row2024-04-23
4th row2024-04-23
5th row2024-04-23

Common Values

ValueCountFrequency (%)
2024-04-23 146
100.0%

Length

2024-04-30T08:09:54.537589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T08:09:54.625587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-04-23 146
100.0%

Interactions

2024-04-30T08:09:51.516758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-30T08:09:54.680812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업태명인허가번호
업태명1.0000.000
인허가번호0.0001.000
2024-04-30T08:09:54.764546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인허가번호업태명
인허가번호1.0000.000
업태명0.0001.000

Missing values

2024-04-30T08:09:51.716396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T08:09:51.837381image/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

업종명업태명인허가번호업소명소재지(도로명)소재지(지번)데이터기준일자
0유흥주점영업룸살롱19830362017빨간풍차가요주점경기도 김포시 양촌읍 양곡로 541경기도 김포시 양촌읍 양곡리 416-162024-04-23
1유흥주점영업룸살롱19840362017다이랑노래빠경기도 김포시 통진읍 조강로 66-9경기도 김포시 통진읍 서암리 725-22024-04-23
2유흥주점영업룸살롱19870362034아시아 가라오케 (Asia karaoke)경기도 김포시 통진읍 조강로 66-13경기도 김포시 통진읍 서암리 759-452024-04-23
3유흥주점영업룸살롱19880362004에이스경기도 김포시 월곶면 오리정로 118경기도 김포시 월곶면 갈산리 485-12024-04-23
4유흥주점영업룸살롱19880362015왕과왕비경기도 김포시 북변중로68번길 16 (북변동)경기도 김포시 북변동 375-12024-04-23
5유흥주점영업룸살롱19880362024블링블링경기도 김포시 통진읍 김포대로2244번길 36 지하1층경기도 김포시 통진읍 마송리 110-32024-04-23
6유흥주점영업룸살롱19890362061황진이경기도 김포시 통진읍 김포대로2244번길 36경기도 김포시 통진읍 마송리 110-32024-04-23
7유흥주점영업룸살롱1995036217169섯따경기도 김포시 통진읍 김포대로2230번길 14-1경기도 김포시 통진읍 마송리 104-332024-04-23
8유흥주점영업룸살롱19970362086노다지경기도 김포시 통진읍 서암로 61 지하1층경기도 김포시 통진읍 마송리 109-92024-04-23
9유흥주점영업룸살롱19970362300보스노래바경기도 김포시 통진읍 서암로 74경기도 김포시 통진읍 서암리 759-702024-04-23
업종명업태명인허가번호업소명소재지(도로명)소재지(지번)데이터기준일자
136유흥주점영업노래클럽20230511387엘루이 노래클럽경기도 김포시 김포한강9로75번길 180 205호 (구래동 두원타워)경기도 김포시 구래동 6882-4 두원타워 205호2024-04-23
137유흥주점영업노래클럽20230511447준코뮤직타운 김포구래1호점경기도 김포시 김포한강9로75번길 56 디에스프라자 5층 503 504 505 506호 (구래동)경기도 김포시 구래동 6881-17 디에스프라자 503-506호2024-04-23
138유흥주점영업노래클럽20230511448준코뮤직타운 김포구래2호점경기도 김포시 김포한강9로75번길 56 디에스프라자 5층 507호 (구래동)경기도 김포시 구래동 6881-17 디에스프라자 507호2024-04-23
139유흥주점영업노래클럽20230511738달콤노래빠경기도 김포시 김포한강9로75번길 100 태경프라자 5층 507호 (구래동)경기도 김포시 구래동 6881-92024-04-23
140유흥주점영업룸살롱20230511988세븐 가라오케경기도 김포시 김포한강9로75번길 98 제이원 타워 3층 301호 (구래동)경기도 김포시 구래동 6881-8 제이원 타워 301호2024-04-23
141유흥주점영업룸살롱20230511989파티가라오케경기도 김포시 김포한강9로75번길 98 제이원 타워 3층 302호 (구래동)경기도 김포시 구래동 6881-8 제이원 타워 302호2024-04-23
142유흥주점영업룸살롱20230511992새콤노래빠경기도 김포시 김포한강9로75번길 100 태경프라자 508호 (구래동)경기도 김포시 구래동 6881-9 508호2024-04-23
143유흥주점영업룸살롱20230512508써니노래클럽경기도 김포시 김포한강9로 80 다온프라자 310호 (구래동)경기도 김포시 구래동 6883-82024-04-23
144유흥주점영업노래클럽20230512836태평양7080라이브경기도 김포시 김포한강9로76번길 49 포인트프라자 504호 (구래동)경기도 김포시 구래동 6883-6 포인트프라자 504호2024-04-23
145유흥주점영업룸살롱20230513105하노이가라오케경기도 김포시 통진읍 서암로 78 지하1층경기도 김포시 통진읍 서암리 759-52 지하1층2024-04-23