Overview

Dataset statistics

Number of variables7
Number of observations4414
Missing cells1295
Missing cells (%)4.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory245.8 KiB
Average record size in memory57.0 B

Variable types

Numeric1
Categorical3
Text3

Dataset

Descriptionㅇ 주로 주류를 조리ㆍ판매하는 영업으로서 유흥종사자를 두거나 유흥시설을 설치할 수 있고 손님이 노래를 부르거나 춤을 추는 행위가 허용되는 유흥주점 업소정보
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15069260

Alerts

업종 has constant value ""Constant
연번 is highly overall correlated with 인허가관할기관High correlation
인허가관할기관 is highly overall correlated with 연번High correlation
업소전화번호 has 1295 (29.3%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 22:53:50.786822
Analysis finished2023-12-10 22:53:51.814400
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct4414
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2207.5
Minimum1
Maximum4414
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size38.9 KiB
2023-12-11T07:53:51.893005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile221.65
Q11104.25
median2207.5
Q33310.75
95-th percentile4193.35
Maximum4414
Range4413
Interquartile range (IQR)2206.5

Descriptive statistics

Standard deviation1274.3564
Coefficient of variation (CV)0.57728488
Kurtosis-1.2
Mean2207.5
Median Absolute Deviation (MAD)1103.5
Skewness0
Sum9743905
Variance1623984.2
MonotonicityNot monotonic
2023-12-11T07:53:52.067952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2942 1
 
< 0.1%
2948 1
 
< 0.1%
2947 1
 
< 0.1%
2946 1
 
< 0.1%
2945 1
 
< 0.1%
2944 1
 
< 0.1%
2943 1
 
< 0.1%
2941 1
 
< 0.1%
2967 1
 
< 0.1%
Other values (4404) 4404
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
4414 1
< 0.1%
4413 1
< 0.1%
4412 1
< 0.1%
4411 1
< 0.1%
4410 1
< 0.1%
4409 1
< 0.1%
4408 1
< 0.1%
4407 1
< 0.1%
4406 1
< 0.1%
4405 1
< 0.1%

인허가관할기관
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size34.6 KiB
김해시
649 
창원시 성산구
582 
창원시 마산합포구
445 
거제시
342 
양산시
325 
Other values (17)
2071 

Length

Max length10
Median length4
Mean length5.9456275
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row 거제시
2nd row 거제시
3rd row 거제시
4th row 거제시
5th row 거제시

Common Values

ValueCountFrequency (%)
김해시 649
14.7%
창원시 성산구 582
13.2%
창원시 마산합포구 445
10.1%
거제시 342
7.7%
양산시 325
7.4%
창원시 의창구 315
7.1%
통영시 297
6.7%
창원시 진해구 278
 
6.3%
진주시 255
 
5.8%
창원시 마산회원구 203
 
4.6%
Other values (12) 723
16.4%

Length

2023-12-11T07:53:52.249465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
창원시 1823
29.2%
김해시 649
 
10.4%
성산구 582
 
9.3%
마산합포구 445
 
7.1%
거제시 342
 
5.5%
양산시 325
 
5.2%
의창구 315
 
5.1%
통영시 297
 
4.8%
진해구 278
 
4.5%
진주시 255
 
4.1%
Other values (13) 926
14.8%

업소명
Text

Distinct3677
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Memory size34.6 KiB
2023-12-11T07:53:52.523621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length18
Mean length5.6989126
Min length1

Characters and Unicode

Total characters25155
Distinct characters751
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3245 ?
Unique (%)73.5%

Sample

1st row30분
2nd row7번가가라오케
3rd row8시
4th rowM.B.C노래주점
5th rowT팬티(티팬티)
ValueCountFrequency (%)
노래주점 90
 
1.9%
노래방 57
 
1.2%
술마시는노래방 34
 
0.7%
술마시는 33
 
0.7%
유흥주점 14
 
0.3%
가요주점 13
 
0.3%
황진이 11
 
0.2%
가라오케 11
 
0.2%
황제 9
 
0.2%
블루 8
 
0.2%
Other values (3652) 4529
94.2%
2023-12-11T07:53:53.003889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
노 2010
 
8.0%
래 2009
 
8.0%
주 1575
 
6.3%
점 1567
 
6.2%
방 817
 
3.2%
가 499
 
2.0%
마 485
 
1.9%
시 465
 
1.8%
스 457
 
1.8%
이 435
 
1.7%
Other values (741) 14836
59.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23593
93.8%
Space Separator 398
 
1.6%
Uppercase Letter 378
 
1.5%
Decimal Number 374
 
1.5%
Lowercase Letter 147
 
0.6%
Close Punctuation 108
 
0.4%
Open Punctuation 107
 
0.4%
Other Punctuation 42
 
0.2%
Letter Number 4
 
< 0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
노 2010
 
8.5%
래 2009
 
8.5%
주 1575
 
6.7%
점 1567
 
6.6%
방 817
 
3.5%
가 499
 
2.1%
마 485
 
2.1%
시 465
 
2.0%
스 457
 
1.9%
이 435
 
1.8%
Other values (669) 13274
56.3%
Uppercase Letter
ValueCountFrequency (%)
B 39
 
10.3%
M 32
 
8.5%
A 29
 
7.7%
S 26
 
6.9%
I 24
 
6.3%
O 22
 
5.8%
C 19
 
5.0%
E 18
 
4.8%
L 17
 
4.5%
N 16
 
4.2%
Other values (15) 136
36.0%
Lowercase Letter
ValueCountFrequency (%)
a 20
13.6%
o 20
13.6%
r 11
 
7.5%
e 11
 
7.5%
n 8
 
5.4%
l 8
 
5.4%
s 8
 
5.4%
m 7
 
4.8%
p 6
 
4.1%
i 6
 
4.1%
Other values (13) 42
28.6%
Decimal Number
ValueCountFrequency (%)
0 109
29.1%
8 57
15.2%
1 56
15.0%
7 51
13.6%
2 50
13.4%
9 16
 
4.3%
3 14
 
3.7%
4 8
 
2.1%
6 7
 
1.9%
5 6
 
1.6%
Other Punctuation
ValueCountFrequency (%)
. 22
52.4%
& 11
26.2%
, 4
 
9.5%
! 3
 
7.1%
＆ 1
 
2.4%
? 1
 
2.4%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
50.0%
ⅱ 1
25.0%
ⅰ 1
25.0%
Space Separator
ValueCountFrequency (%)
398
100.0%
Close Punctuation
ValueCountFrequency (%)
) 108
100.0%
Open Punctuation
ValueCountFrequency (%)
( 107
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23589
93.8%
Common 1033
 
4.1%
Latin 529
 
2.1%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
노 2010
 
8.5%
래 2009
 
8.5%
주 1575
 
6.7%
점 1567
 
6.6%
방 817
 
3.5%
가 499
 
2.1%
마 485
 
2.1%
시 465
 
2.0%
스 457
 
1.9%
이 435
 
1.8%
Other values (665) 13270
56.3%
Latin
ValueCountFrequency (%)
B 39
 
7.4%
M 32
 
6.0%
A 29
 
5.5%
S 26
 
4.9%
I 24
 
4.5%
O 22
 
4.2%
a 20
 
3.8%
o 20
 
3.8%
C 19
 
3.6%
E 18
 
3.4%
Other values (41) 280
52.9%
Common
ValueCountFrequency (%)
398
38.5%
0 109
 
10.6%
) 108
 
10.5%
( 107
 
10.4%
8 57
 
5.5%
1 56
 
5.4%
7 51
 
4.9%
2 50
 
4.8%
. 22
 
2.1%
9 16
 
1.5%
Other values (11) 59
 
5.7%
Han
ValueCountFrequency (%)
太 1
25.0%
山 1
25.0%
女 1
25.0%
友 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23589
93.8%
ASCII 1556
 
6.2%
Number Forms 4
 
< 0.1%
CJK 3
 
< 0.1%
None 1
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
노 2010
 
8.5%
래 2009
 
8.5%
주 1575
 
6.7%
점 1567
 
6.6%
방 817
 
3.5%
가 499
 
2.1%
마 485
 
2.1%
시 465
 
2.0%
스 457
 
1.9%
이 435
 
1.8%
Other values (665) 13270
56.3%
ASCII
ValueCountFrequency (%)
398
25.6%
0 109
 
7.0%
) 108
 
6.9%
( 107
 
6.9%
8 57
 
3.7%
1 56
 
3.6%
7 51
 
3.3%
2 50
 
3.2%
B 39
 
2.5%
M 32
 
2.1%
Other values (57) 549
35.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
50.0%
ⅱ 1
25.0%
ⅰ 1
25.0%
None
ValueCountFrequency (%)
＆ 1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%
CJK
ValueCountFrequency (%)
太 1
33.3%
山 1
33.3%
友 1
33.3%
CJK Compat Ideographs
ValueCountFrequency (%)
女 1
100.0%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.6 KiB
유흥주점영업
4414 

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 4414
100.0%

Length

2023-12-11T07:53:53.174038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:53:53.285181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유흥주점영업 4414
100.0%

업태
Categorical

Distinct11
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size34.6 KiB
룸살롱
1984 
기타
1163 
간이주점
477 
<NA>
427 
카바레
 
147
Other values (6)
216 

Length

Max length12
Median length9
Mean length3.0387404
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
룸살롱 1984
44.9%
기타 1163
26.3%
간이주점 477
 
10.8%
<NA> 427
 
9.7%
카바레 147
 
3.3%
노래클럽 103
 
2.3%
스텐드바 70
 
1.6%
고고(디스코)클럽 30
 
0.7%
관광호텔나이트(디스코) 8
 
0.2%
요정 4
 
0.1%

Length

2023-12-11T07:53:53.421981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
룸살롱 1984
44.9%
기타 1163
26.3%
간이주점 477
 
10.8%
na 427
 
9.7%
카바레 147
 
3.3%
노래클럽 103
 
2.3%
스텐드바 70
 
1.6%
고고(디스코)클럽 30
 
0.7%
관광호텔나이트(디스코 8
 
0.2%
요정 4
 
0.1%

업소주소
Text

Distinct4184
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size34.6 KiB
2023-12-11T07:53:53.760674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length50
Mean length29.676031
Min length14

Characters and Unicode

Total characters130990
Distinct characters392
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3981 ?
Unique (%)90.2%

Sample

1st row경상남도 거제시 옥포로6길 29-1(2층 옥포동, 2층)
2nd row경상남도 거제시 고현로 92(고현동)
3rd row경상남도 거제시 옥포로6길 29-1(2층 옥포동, 2층)
4th row경상남도 거제시 장평3로6길 10-1(장평동,지하층)
5th row경상남도 거제시 거제중앙로27길 13-1(고현동,2층)
ValueCountFrequency (%)
경상남도 4414
 
19.0%
창원시 1823
 
7.9%
김해시 649
 
2.8%
성산구 582
 
2.5%
마산합포구 445
 
1.9%
거제시 342
 
1.5%
양산시 325
 
1.4%
의창구 315
 
1.4%
통영시 297
 
1.3%
진해구 278
 
1.2%
Other values (4879) 13746
59.2%
2023-12-11T07:53:54.339526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18810
 
14.4%
1 5330
 
4.1%
남 5308
 
4.1%
상 5195
 
4.0%
도 4514
 
3.4%
경 4458
 
3.4%
동 4188
 
3.2%
시 4086
 
3.1%
( 3871
 
3.0%
) 3871
 
3.0%
Other values (382) 71359
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 79612
60.8%
Decimal Number 21570
 
16.5%
Space Separator 18810
 
14.4%
Open Punctuation 3871
 
3.0%
Close Punctuation 3871
 
3.0%
Other Punctuation 2005
 
1.5%
Dash Punctuation 1142
 
0.9%
Uppercase Letter 92
 
0.1%
Lowercase Letter 13
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 5308
 
6.7%
상 5195
 
6.5%
도 4514
 
5.7%
경 4458
 
5.6%
동 4188
 
5.3%
시 4086
 
5.1%
로 3228
 
4.1%
길 2786
 
3.5%
원 2587
 
3.2%
창 2435
 
3.1%
Other values (339) 40827
51.3%
Uppercase Letter
ValueCountFrequency (%)
B 24
26.1%
N 14
15.2%
A 10
10.9%
C 9
 
9.8%
M 8
 
8.7%
J 5
 
5.4%
O 4
 
4.3%
S 3
 
3.3%
K 3
 
3.3%
V 2
 
2.2%
Other values (6) 10
10.9%
Decimal Number
ValueCountFrequency (%)
1 5330
24.7%
2 3547
16.4%
3 2535
11.8%
0 2192
10.2%
5 1757
 
8.1%
4 1707
 
7.9%
6 1503
 
7.0%
7 1211
 
5.6%
9 909
 
4.2%
8 879
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
p 2
15.4%
o 2
15.4%
c 2
15.4%
i 2
15.4%
t 2
15.4%
y 2
15.4%
k 1
7.7%
Other Punctuation
ValueCountFrequency (%)
, 1922
95.9%
· 40
 
2.0%
. 34
 
1.7%
/ 9
 
0.4%
Math Symbol
ValueCountFrequency (%)
~ 3
75.0%
+ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
18810
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3871
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3871
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1142
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 79612
60.8%
Common 51273
39.1%
Latin 105
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 5308
 
6.7%
상 5195
 
6.5%
도 4514
 
5.7%
경 4458
 
5.6%
동 4188
 
5.3%
시 4086
 
5.1%
로 3228
 
4.1%
길 2786
 
3.5%
원 2587
 
3.2%
창 2435
 
3.1%
Other values (339) 40827
51.3%
Latin
ValueCountFrequency (%)
B 24
22.9%
N 14
13.3%
A 10
9.5%
C 9
 
8.6%
M 8
 
7.6%
J 5
 
4.8%
O 4
 
3.8%
S 3
 
2.9%
K 3
 
2.9%
V 2
 
1.9%
Other values (13) 23
21.9%
Common
ValueCountFrequency (%)
18810
36.7%
1 5330
 
10.4%
( 3871
 
7.5%
) 3871
 
7.5%
2 3547
 
6.9%
3 2535
 
4.9%
0 2192
 
4.3%
, 1922
 
3.7%
5 1757
 
3.4%
4 1707
 
3.3%
Other values (10) 5731
 
11.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 79612
60.8%
ASCII 51338
39.2%
None 40
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18810
36.6%
1 5330
 
10.4%
( 3871
 
7.5%
) 3871
 
7.5%
2 3547
 
6.9%
3 2535
 
4.9%
0 2192
 
4.3%
, 1922
 
3.7%
5 1757
 
3.4%
4 1707
 
3.3%
Other values (32) 5796
 
11.3%
Hangul
ValueCountFrequency (%)
남 5308
 
6.7%
상 5195
 
6.5%
도 4514
 
5.7%
경 4458
 
5.6%
동 4188
 
5.3%
시 4086
 
5.1%
로 3228
 
4.1%
길 2786
 
3.5%
원 2587
 
3.2%
창 2435
 
3.1%
Other values (339) 40827
51.3%
None
ValueCountFrequency (%)
· 40
100.0%

업소전화번호
Text

MISSING 

Distinct3064
Distinct (%)98.2%
Missing1295
Missing (%)29.3%
Memory size34.6 KiB
2023-12-11T07:53:54.731740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.956717
Min length3

Characters and Unicode

Total characters34174
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

Unique3011 ?
Unique (%)96.5%

Sample

1st row055 6379911
2nd row055 687 1645
3rd row055 6368292
4th row055 6381533
5th row055 6881909
ValueCountFrequency (%)
055 2658
38.3%
687 26
 
0.4%
547 26
 
0.4%
542 24
 
0.3%
646 22
 
0.3%
552 21
 
0.3%
645 20
 
0.3%
551 20
 
0.3%
544 19
 
0.3%
648 18
 
0.3%
Other values (3172) 4087
58.9%
2023-12-11T07:53:55.202782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 7732
22.6%
0 4352
12.7%
3850
11.3%
3 3024
 
8.8%
2 2950
 
8.6%
6 2397
 
7.0%
4 2389
 
7.0%
8 2201
 
6.4%
7 2030
 
5.9%
1 1702
 
5.0%
Other values (2) 1547
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30166
88.3%
Space Separator 3850
 
11.3%
Dash Punctuation 158
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 7732
25.6%
0 4352
14.4%
3 3024
 
10.0%
2 2950
 
9.8%
6 2397
 
7.9%
4 2389
 
7.9%
8 2201
 
7.3%
7 2030
 
6.7%
1 1702
 
5.6%
9 1389
 
4.6%
Space Separator
ValueCountFrequency (%)
3850
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 158
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 34174
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 7732
22.6%
0 4352
12.7%
3850
11.3%
3 3024
 
8.8%
2 2950
 
8.6%
6 2397
 
7.0%
4 2389
 
7.0%
8 2201
 
6.4%
7 2030
 
5.9%
1 1702
 
5.0%
Other values (2) 1547
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34174
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 7732
22.6%
0 4352
12.7%
3850
11.3%
3 3024
 
8.8%
2 2950
 
8.6%
6 2397
 
7.0%
4 2389
 
7.0%
8 2201
 
6.4%
7 2030
 
5.9%
1 1702
 
5.0%
Other values (2) 1547
 
4.5%

Interactions

2023-12-11T07:53:51.523021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:53:55.303310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번인허가관할기관업태
연번1.0000.9720.502
인허가관할기관0.9721.0000.554
업태0.5020.5541.000
2023-12-11T07:53:55.404215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업태인허가관할기관
업태1.0000.241
인허가관할기관0.2411.000
2023-12-11T07:53:55.502608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번인허가관할기관업태
연번1.0000.8450.174
인허가관할기관0.8451.0000.241
업태0.1740.2411.000

Missing values

2023-12-11T07:53:51.644356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:53:51.766422image/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

연번인허가관할기관업소명업종업태업소주소업소전화번호
01거제시30분유흥주점영업기타경상남도 거제시 옥포로6길 29-1(2층 옥포동, 2층)<NA>
12거제시7번가가라오케유흥주점영업룸살롱경상남도 거제시 고현로 92(고현동)055 6379911
23거제시8시유흥주점영업기타경상남도 거제시 옥포로6길 29-1(2층 옥포동, 2층)055 687 1645
34거제시M.B.C노래주점유흥주점영업기타경상남도 거제시 장평3로6길 10-1(장평동,지하층)055 6368292
45거제시T팬티(티팬티)유흥주점영업기타경상남도 거제시 거제중앙로27길 13-1(고현동,2층)055 6381533
56거제시가자가요주점유흥주점영업간이주점경상남도 거제시 옥포성안로 79(옥포동,1층)055 6881909
67거제시갈채유흥주점영업룸살롱경상남도 거제시 고현로 89-1(고현동,2층)055 636 6599
78거제시강미노래주점유흥주점영업기타경상남도 거제시 장평로10길 14(장평동,2층)055 6362259
89거제시강촌유흥주점영업룸살롱경상남도 거제시 장평로8길 24(장평동,2층)055 6376319
910거제시갤러리유흥주점영업기타경상남도 거제시 거제중앙로27길 5(고현동,1동)055 6375900
연번인허가관할기관업소명업종업태업소주소업소전화번호
44044405합천군카지노유흥주점영업기타경상남도 합천군 충효로 70005509317373
44054406합천군태평양유흥주점영업기타경상남도 합천군 치인2길 27(1층)005509327232
44064407합천군프로가요주점유흥주점영업기타경상남도 합천군 묘산로 164-1(1층)005509311696
44074408합천군한국관유흥주점영업카바레경상남도 합천군 충효로 84-4005509314417
44084409합천군한국관유흥주점영업룸살롱경상남도 합천군 청덕면 의합대로 2917-1(1층)005509334009
44094410합천군향기주점유흥주점영업기타경상남도 합천군 청덕면 의합대로 2909055 9328259
44104411합천군현대 룸싸롱유흥주점영업룸살롱경상남도 합천군 야로면 가야산로 346<NA>
44114412합천군환희영상주점유흥주점영업기타경상남도 합천군 초계면 내동3길 1-2(1층)005509321046
44124413합천군황매산골유흥주점유흥주점영업기타경상남도 합천군 대병면 회양관광단지길 79-6(2층)055 9329991
44134414합천군히트가요주점유흥주점영업기타경상남도 합천군 합천읍 충효로 78-6005509335439