Overview

Dataset statistics

Number of variables7
Number of observations44
Missing cells20
Missing cells (%)6.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory60.0 B

Variable types

Numeric1
Categorical1
Text4
DateTime1

Dataset

Description전라남도 영암군 관내에 위치한 유흥및단란주점 업소 현황에 대한 데이터로 업소명, 도로명 주소, 지번 주소, 전화번호 등의 항목을 제공합니다.
Author전라남도 영암군
URLhttps://www.data.go.kr/data/15054269/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 업종명High correlation
업종명 is highly overall correlated with 연번High correlation
소재지전화 has 20 (45.5%) missing valuesMissing
연번 has unique valuesUnique
업소명 has unique valuesUnique

Reproduction

Analysis started2024-04-21 01:20:54.477676
Analysis finished2024-04-21 01:20:56.598327
Duration2.12 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.5
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-04-21T10:20:56.678803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.15
Q111.75
median22.5
Q333.25
95-th percentile41.85
Maximum44
Range43
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation12.845233
Coefficient of variation (CV)0.57089923
Kurtosis-1.2
Mean22.5
Median Absolute Deviation (MAD)11
Skewness0
Sum990
Variance165
MonotonicityStrictly increasing
2024-04-21T10:20:56.800472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
1 1
 
2.3%
24 1
 
2.3%
26 1
 
2.3%
27 1
 
2.3%
28 1
 
2.3%
29 1
 
2.3%
30 1
 
2.3%
31 1
 
2.3%
32 1
 
2.3%
33 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
1 1
2.3%
2 1
2.3%
3 1
2.3%
4 1
2.3%
5 1
2.3%
6 1
2.3%
7 1
2.3%
8 1
2.3%
9 1
2.3%
10 1
2.3%
ValueCountFrequency (%)
44 1
2.3%
43 1
2.3%
42 1
2.3%
41 1
2.3%
40 1
2.3%
39 1
2.3%
38 1
2.3%
37 1
2.3%
36 1
2.3%
35 1
2.3%

업종명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
유흥주점영업
29 
단란주점
15 

Length

Max length6
Median length6
Mean length5.3181818
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유흥주점영업 29
65.9%
단란주점 15
34.1%

Length

2024-04-21T10:20:56.945931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:20:57.044817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유흥주점영업 29
65.9%
단란주점 15
34.1%

업소명
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-04-21T10:20:57.258193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length15
Mean length6.7045455
Min length1

Characters and Unicode

Total characters295
Distinct characters130
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

Unique44 ?
Unique (%)100.0%

Sample

1st row태평양
2nd row대송음악홀
3rd rowB.M.W
4th row신라라이브
5th row비지니스
ValueCountFrequency (%)
태평양 1
 
2.0%
황궁단란주점 1
 
2.0%
hai 1
 
2.0%
dang 1
 
2.0%
karaoke(해당카라오케 1
 
2.0%
보물섬 1
 
2.0%
상하이노래홀(유흥 1
 
2.0%
다온주점 1
 
2.0%
가라오케38클럽(유흥 1
 
2.0%
놀부단란주점 1
 
2.0%
Other values (41) 41
80.4%
2024-04-21T10:20:57.615547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
래 11
 
3.7%
주 11
 
3.7%
노 10
 
3.4%
홀 10
 
3.4%
이 9
 
3.1%
점 9
 
3.1%
라 8
 
2.7%
7
 
2.4%
란 6
 
2.0%
단 6
 
2.0%
Other values (120) 208
70.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 207
70.2%
Uppercase Letter 38
 
12.9%
Decimal Number 14
 
4.7%
Lowercase Letter 12
 
4.1%
Space Separator 7
 
2.4%
Other Punctuation 6
 
2.0%
Close Punctuation 5
 
1.7%
Open Punctuation 5
 
1.7%
Letter Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
래 11
 
5.3%
주 11
 
5.3%
노 10
 
4.8%
홀 10
 
4.8%
이 9
 
4.3%
점 9
 
4.3%
라 8
 
3.9%
란 6
 
2.9%
단 6
 
2.9%
스 6
 
2.9%
Other values (84) 121
58.5%
Uppercase Letter
ValueCountFrequency (%)
A 6
15.8%
R 5
13.2%
M 4
10.5%
O 4
10.5%
H 3
7.9%
K 3
7.9%
G 3
7.9%
N 3
7.9%
C 2
 
5.3%
P 1
 
2.6%
Other values (4) 4
10.5%
Lowercase Letter
ValueCountFrequency (%)
t 2
16.7%
a 2
16.7%
u 2
16.7%
r 1
8.3%
n 1
8.3%
s 1
8.3%
e 1
8.3%
b 1
8.3%
i 1
8.3%
Decimal Number
ValueCountFrequency (%)
0 5
35.7%
8 3
21.4%
3 2
 
14.3%
6 1
 
7.1%
9 1
 
7.1%
7 1
 
7.1%
2 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 5
83.3%
& 1
 
16.7%
Space Separator
ValueCountFrequency (%)
7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 207
70.2%
Latin 51
 
17.3%
Common 37
 
12.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
래 11
 
5.3%
주 11
 
5.3%
노 10
 
4.8%
홀 10
 
4.8%
이 9
 
4.3%
점 9
 
4.3%
라 8
 
3.9%
란 6
 
2.9%
단 6
 
2.9%
스 6
 
2.9%
Other values (84) 121
58.5%
Latin
ValueCountFrequency (%)
A 6
 
11.8%
R 5
 
9.8%
M 4
 
7.8%
O 4
 
7.8%
H 3
 
5.9%
K 3
 
5.9%
G 3
 
5.9%
N 3
 
5.9%
C 2
 
3.9%
t 2
 
3.9%
Other values (14) 16
31.4%
Common
ValueCountFrequency (%)
7
18.9%
0 5
13.5%
. 5
13.5%
) 5
13.5%
( 5
13.5%
8 3
8.1%
3 2
 
5.4%
6 1
 
2.7%
9 1
 
2.7%
& 1
 
2.7%
Other values (2) 2
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 207
70.2%
ASCII 87
29.5%
Number Forms 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
래 11
 
5.3%
주 11
 
5.3%
노 10
 
4.8%
홀 10
 
4.8%
이 9
 
4.3%
점 9
 
4.3%
라 8
 
3.9%
란 6
 
2.9%
단 6
 
2.9%
스 6
 
2.9%
Other values (84) 121
58.5%
ASCII
ValueCountFrequency (%)
7
 
8.0%
A 6
 
6.9%
0 5
 
5.7%
R 5
 
5.7%
. 5
 
5.7%
) 5
 
5.7%
( 5
 
5.7%
M 4
 
4.6%
O 4
 
4.6%
H 3
 
3.4%
Other values (25) 38
43.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지(도로명)
Text

Distinct41
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-04-21T10:20:57.821085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length31
Mean length25.431818
Min length18

Characters and Unicode

Total characters1119
Distinct characters69
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)86.4%

Sample

1st row전라남도 영암군 영암읍 군청로 1-6
2nd row전라남도 영암군 영암읍 남문로 8
3rd row전라남도 영암군 영암읍 군청로 2-15, 2층
4th row전라남도 영암군 영암읍 천황사로 296-2
5th row전라남도 영암군 삼호읍 삼호중앙로 163 ((2층))
ValueCountFrequency (%)
전라남도 44
17.9%
영암군 44
17.9%
삼호읍 25
 
10.2%
영암읍 12
 
4.9%
2층 11
 
4.5%
대불주거5로3길 6
 
2.4%
15 5
 
2.0%
대불주거5로1길 3
 
1.2%
대불주거5로 3
 
1.2%
삼호중앙로 3
 
1.2%
Other values (66) 90
36.6%
2024-04-21T10:20:58.171364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
202
18.1%
영 57
 
5.1%
암 57
 
5.1%
군 47
 
4.2%
남 46
 
4.1%
도 45
 
4.0%
전 44
 
3.9%
1 44
 
3.9%
라 44
 
3.9%
로 41
 
3.7%
Other values (59) 492
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 666
59.5%
Space Separator 202
 
18.1%
Decimal Number 173
 
15.5%
Open Punctuation 27
 
2.4%
Close Punctuation 27
 
2.4%
Dash Punctuation 13
 
1.2%
Other Punctuation 10
 
0.9%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 57
 
8.6%
암 57
 
8.6%
군 47
 
7.1%
남 46
 
6.9%
도 45
 
6.8%
전 44
 
6.6%
라 44
 
6.6%
로 41
 
6.2%
읍 37
 
5.6%
호 34
 
5.1%
Other values (43) 214
32.1%
Decimal Number
ValueCountFrequency (%)
1 44
25.4%
2 35
20.2%
5 27
15.6%
3 19
11.0%
6 12
 
6.9%
0 9
 
5.2%
8 8
 
4.6%
9 7
 
4.0%
7 7
 
4.0%
4 5
 
2.9%
Space Separator
ValueCountFrequency (%)
202
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 666
59.5%
Common 453
40.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 57
 
8.6%
암 57
 
8.6%
군 47
 
7.1%
남 46
 
6.9%
도 45
 
6.8%
전 44
 
6.6%
라 44
 
6.6%
로 41
 
6.2%
읍 37
 
5.6%
호 34
 
5.1%
Other values (43) 214
32.1%
Common
ValueCountFrequency (%)
202
44.6%
1 44
 
9.7%
2 35
 
7.7%
( 27
 
6.0%
5 27
 
6.0%
) 27
 
6.0%
3 19
 
4.2%
- 13
 
2.9%
6 12
 
2.6%
, 10
 
2.2%
Other values (6) 37
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 666
59.5%
ASCII 453
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
202
44.6%
1 44
 
9.7%
2 35
 
7.7%
( 27
 
6.0%
5 27
 
6.0%
) 27
 
6.0%
3 19
 
4.2%
- 13
 
2.9%
6 12
 
2.6%
, 10
 
2.2%
Other values (6) 37
 
8.2%
Hangul
ValueCountFrequency (%)
영 57
 
8.6%
암 57
 
8.6%
군 47
 
7.1%
남 46
 
6.9%
도 45
 
6.8%
전 44
 
6.6%
라 44
 
6.6%
로 41
 
6.2%
읍 37
 
5.6%
호 34
 
5.1%
Other values (43) 214
32.1%

소재지(지번)
Text

Distinct39
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-04-21T10:20:58.373377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length30
Mean length26.363636
Min length20

Characters and Unicode

Total characters1160
Distinct characters56
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)81.8%

Sample

1st row전라남도 영암군 영암읍 동무리 144-37
2nd row전라남도 영암군 영암읍 서남리 34
3rd row전라남도 영암군 영암읍 동무리 164-11 18(2층)
4th row전라남도 영암군 영암읍 개신리 484-3
5th row전라남도 영암군 삼호읍 용앙리 379-44 (2층)
ValueCountFrequency (%)
전라남도 44
17.9%
영암군 44
17.9%
삼호읍 25
 
10.2%
용앙리 22
 
8.9%
영암읍 12
 
4.9%
2층 12
 
4.9%
동무리 7
 
2.8%
지하1층 4
 
1.6%
1660-5 4
 
1.6%
서남리 3
 
1.2%
Other values (57) 69
28.0%
2024-04-21T10:20:58.697029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
246
21.2%
1 65
 
5.6%
암 57
 
4.9%
영 56
 
4.8%
남 47
 
4.1%
6 46
 
4.0%
도 45
 
3.9%
전 44
 
3.8%
리 44
 
3.8%
군 44
 
3.8%
Other values (46) 466
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 609
52.5%
Space Separator 246
21.2%
Decimal Number 229
 
19.7%
Dash Punctuation 40
 
3.4%
Close Punctuation 18
 
1.6%
Open Punctuation 18
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
암 57
 
9.4%
영 56
 
9.2%
남 47
 
7.7%
도 45
 
7.4%
전 44
 
7.2%
리 44
 
7.2%
군 44
 
7.2%
라 44
 
7.2%
읍 37
 
6.1%
호 28
 
4.6%
Other values (32) 163
26.8%
Decimal Number
ValueCountFrequency (%)
1 65
28.4%
6 46
20.1%
2 32
14.0%
4 20
 
8.7%
0 16
 
7.0%
3 15
 
6.6%
5 15
 
6.6%
8 9
 
3.9%
7 6
 
2.6%
9 5
 
2.2%
Space Separator
ValueCountFrequency (%)
246
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 609
52.5%
Common 551
47.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
암 57
 
9.4%
영 56
 
9.2%
남 47
 
7.7%
도 45
 
7.4%
전 44
 
7.2%
리 44
 
7.2%
군 44
 
7.2%
라 44
 
7.2%
읍 37
 
6.1%
호 28
 
4.6%
Other values (32) 163
26.8%
Common
ValueCountFrequency (%)
246
44.6%
1 65
 
11.8%
6 46
 
8.3%
- 40
 
7.3%
2 32
 
5.8%
4 20
 
3.6%
) 18
 
3.3%
( 18
 
3.3%
0 16
 
2.9%
3 15
 
2.7%
Other values (4) 35
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 609
52.5%
ASCII 551
47.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
246
44.6%
1 65
 
11.8%
6 46
 
8.3%
- 40
 
7.3%
2 32
 
5.8%
4 20
 
3.6%
) 18
 
3.3%
( 18
 
3.3%
0 16
 
2.9%
3 15
 
2.7%
Other values (4) 35
 
6.4%
Hangul
ValueCountFrequency (%)
암 57
 
9.4%
영 56
 
9.2%
남 47
 
7.7%
도 45
 
7.4%
전 44
 
7.2%
리 44
 
7.2%
군 44
 
7.2%
라 44
 
7.2%
읍 37
 
6.1%
호 28
 
4.6%
Other values (32) 163
26.8%

소재지전화
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing20
Missing (%)45.5%
Memory size484.0 B
2024-04-21T10:20:58.898830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters288
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

Unique24 ?
Unique (%)100.0%

Sample

1st row061-471-2121
2nd row061-473-3164
3rd row061-473-4824
4th row061-462-3344
5th row061-472-4872
ValueCountFrequency (%)
061-464-0009 1
 
4.2%
061-473-4824 1
 
4.2%
061-471-2002 1
 
4.2%
061-463-2200 1
 
4.2%
061-471-3905 1
 
4.2%
061-471-6588 1
 
4.2%
061-472-6050 1
 
4.2%
061-473-9118 1
 
4.2%
061-472-5458 1
 
4.2%
061-464-5214 1
 
4.2%
Other values (14) 14
58.3%
2024-04-21T10:20:59.185291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 48
16.7%
0 44
15.3%
1 40
13.9%
6 38
13.2%
4 37
12.8%
2 26
9.0%
7 16
 
5.6%
3 11
 
3.8%
5 11
 
3.8%
8 9
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 240
83.3%
Dash Punctuation 48
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 44
18.3%
1 40
16.7%
6 38
15.8%
4 37
15.4%
2 26
10.8%
7 16
 
6.7%
3 11
 
4.6%
5 11
 
4.6%
8 9
 
3.8%
9 8
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 288
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 48
16.7%
0 44
15.3%
1 40
13.9%
6 38
13.2%
4 37
12.8%
2 26
9.0%
7 16
 
5.6%
3 11
 
3.8%
5 11
 
3.8%
8 9
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 288
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 48
16.7%
0 44
15.3%
1 40
13.9%
6 38
13.2%
4 37
12.8%
2 26
9.0%
7 16
 
5.6%
3 11
 
3.8%
5 11
 
3.8%
8 9
 
3.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
Minimum2024-04-03 00:00:00
Maximum2024-04-03 00:00:00
2024-04-21T10:20:59.282440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:20:59.367310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-21T10:20:56.287234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:20:59.428634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명업소명소재지(도로명)소재지(지번)소재지전화
연번1.0000.9921.0000.8230.8841.000
업종명0.9921.0001.0000.0000.0001.000
업소명1.0001.0001.0001.0001.0001.000
소재지(도로명)0.8230.0001.0001.0001.0001.000
소재지(지번)0.8840.0001.0001.0001.0001.000
소재지전화1.0001.0001.0001.0001.0001.000
2024-04-21T10:20:59.517679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명
연번1.0000.828
업종명0.8281.000

Missing values

2024-04-21T10:20:56.444301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:20:56.544767image/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)소재지전화데이터기준일자
01유흥주점영업태평양전라남도 영암군 영암읍 군청로 1-6전라남도 영암군 영암읍 동무리 144-37061-471-21212024-04-03
12유흥주점영업대송음악홀전라남도 영암군 영암읍 남문로 8전라남도 영암군 영암읍 서남리 34061-473-31642024-04-03
23유흥주점영업B.M.W전라남도 영암군 영암읍 군청로 2-15, 2층전라남도 영암군 영암읍 동무리 164-11 18(2층)061-473-48242024-04-03
34유흥주점영업신라라이브전라남도 영암군 영암읍 천황사로 296-2전라남도 영암군 영암읍 개신리 484-3<NA>2024-04-03
45유흥주점영업비지니스전라남도 영암군 삼호읍 삼호중앙로 163 ((2층))전라남도 영암군 삼호읍 용앙리 379-44 (2층)061-462-33442024-04-03
56유흥주점영업희음악홀주점전라남도 영암군 신북면 예향로 2536전라남도 영암군 신북면 월평리 108-2061-472-48722024-04-03
67유흥주점영업미로전라남도 영암군 영암읍 동문밖길 6-2 ((지하1층))전라남도 영암군 영암읍 동무리 107-50 (지하1층)<NA>2024-04-03
78유흥주점영업쇼2000전라남도 영암군 신북면 황금동로 64-10전라남도 영암군 신북면 월평리 115-3061-472-94182024-04-03
89유흥주점영업베르사체유흥주점전라남도 영암군 영암읍 중앙로 33-3전라남도 영암군 영암읍 동무리 142-5061-473-22502024-04-03
910유흥주점영업썬노래홀전라남도 영암군 삼호읍 대불로 92-6 ((지하1층))전라남도 영암군 삼호읍 삼포리 1014 (지하1층)061-463-10082024-04-03
연번업종명업소명소재지(도로명)소재지(지번)소재지전화데이터기준일자
3435단란주점뮬라이브클럽전라남도 영암군 삼호읍 대불주거로 183 ((2층))전라남도 영암군 삼호읍 용앙리 1664-6 (2층)061-463-22002024-04-03
3536단란주점에스전라남도 영암군 삼호읍 대불주거5로 12 ((202호))전라남도 영암군 삼호읍 용앙리 1664-8 (202호)<NA>2024-04-03
3637단란주점거래처전라남도 영암군 삼호읍 삼호중앙로 225 ((2층))전라남도 영암군 삼호읍 용앙리 207-1 (2층)061-462-20092024-04-03
3738단란주점펑키타운 7080전라남도 영암군 영암읍 중앙로 78전라남도 영암군 영암읍 역리 160-3 2층<NA>2024-04-03
3839단란주점루트69전라남도 영암군 삼호읍 대불주거5로1길 3, 2층전라남도 영암군 삼호읍 용앙리 1661-6 2층<NA>2024-04-03
3940단란주점MR.CHANG Pub&Restaurant전라남도 영암군 삼호읍 대불주거5로4길 15, 1층, 106호전라남도 영암군 삼호읍 용앙리 1659-5<NA>2024-04-03
4041단란주점라드펍전라남도 영암군 삼호읍 대불주거5로 52전라남도 영암군 삼호읍 용앙리 1660-15<NA>2024-04-03
4142단란주점상하이노래홀(단란)전라남도 영암군 삼호읍 대불주거5로3길 15, 2층전라남도 영암군 삼호읍 용앙리 1660-5<NA>2024-04-03
4243단란주점모모캄보디아안주전라남도 영암군 삼호읍 대불주거5로3길 15, 1층 101호전라남도 영암군 삼호읍 용앙리 1660-5<NA>2024-04-03
4344단란주점가라오케38클럽(단란)전라남도 영암군 삼호읍 대불주거5로3길 9전라남도 영암군 삼호읍 용앙리 1661-2<NA>2024-04-03