Overview

Dataset statistics

Number of variables5
Number of observations439
Missing cells188
Missing cells (%)8.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.3 KiB
Average record size in memory40.3 B

Variable types

Text5

Dataset

Description전북특별자치도 전주시 노래연습장은 제공하며 업종, 사업장명, 인허가 일자, 주소, 노래방실수, 비상구여부 등을 제공합니다.
Author전라북도
URLhttps://www.bigdatahub.go.kr/index.jeonbuk?startPage=13&menuCd=DOM_000000103007001000&pListTypeStr=&pId=15042111

Alerts

전화번호 has 184 (41.9%) missing valuesMissing

Reproduction

Analysis started2024-04-17 11:54:47.656533
Analysis finished2024-04-17 11:54:48.204434
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호명
Text

Distinct403
Distinct (%)92.0%
Missing1
Missing (%)0.2%
Memory size3.6 KiB
2024-04-17T20:54:48.417728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length8.2716895
Min length1

Characters and Unicode

Total characters3623
Distinct characters369
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique375 ?
Unique (%)85.6%

Sample

1st row신나는노래연습장
2nd row동반자노래연습장
3rd row우신노래연습장
4th row팝콘 노래연습장
5th row향수빛노래연습장
ValueCountFrequency (%)
노래연습장 236
33.3%
코인노래연습장 14
 
2.0%
팡팡 5
 
0.7%
스카이 4
 
0.6%
파티 3
 
0.4%
쑝코인노래연습장 3
 
0.4%
수노래연습장 3
 
0.4%
세븐스타 3
 
0.4%
뭉치 2
 
0.3%
까치 2
 
0.3%
Other values (406) 433
61.2%
2024-04-17T20:54:48.792537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
래 440
12.1%
노 439
12.1%
연 433
12.0%
장 433
12.0%
습 432
11.9%
270
 
7.5%
코 51
 
1.4%
인 48
 
1.3%
스 38
 
1.0%
이 25
 
0.7%
Other values (359) 1014
28.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3267
90.2%
Space Separator 270
 
7.5%
Uppercase Letter 62
 
1.7%
Decimal Number 14
 
0.4%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%
Lowercase Letter 3
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
래 440
13.5%
노 439
13.4%
연 433
13.3%
장 433
13.3%
습 432
13.2%
코 51
 
1.6%
인 48
 
1.5%
스 38
 
1.2%
이 25
 
0.8%
타 21
 
0.6%
Other values (326) 907
27.8%
Uppercase Letter
ValueCountFrequency (%)
M 6
 
9.7%
L 6
 
9.7%
E 5
 
8.1%
O 4
 
6.5%
P 4
 
6.5%
C 4
 
6.5%
I 4
 
6.5%
T 3
 
4.8%
V 3
 
4.8%
N 3
 
4.8%
Other values (11) 20
32.3%
Decimal Number
ValueCountFrequency (%)
2 5
35.7%
4 3
21.4%
7 3
21.4%
1 2
 
14.3%
3 1
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
o 1
33.3%
v 1
33.3%
e 1
33.3%
Space Separator
ValueCountFrequency (%)
270
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3267
90.2%
Common 291
 
8.0%
Latin 65
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
래 440
13.5%
노 439
13.4%
연 433
13.3%
장 433
13.3%
습 432
13.2%
코 51
 
1.6%
인 48
 
1.5%
스 38
 
1.2%
이 25
 
0.8%
타 21
 
0.6%
Other values (326) 907
27.8%
Latin
ValueCountFrequency (%)
M 6
 
9.2%
L 6
 
9.2%
E 5
 
7.7%
O 4
 
6.2%
P 4
 
6.2%
C 4
 
6.2%
I 4
 
6.2%
T 3
 
4.6%
V 3
 
4.6%
N 3
 
4.6%
Other values (14) 23
35.4%
Common
ValueCountFrequency (%)
270
92.8%
2 5
 
1.7%
4 3
 
1.0%
) 3
 
1.0%
7 3
 
1.0%
( 3
 
1.0%
1 2
 
0.7%
· 1
 
0.3%
3 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3267
90.2%
ASCII 355
 
9.8%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
래 440
13.5%
노 439
13.4%
연 433
13.3%
장 433
13.3%
습 432
13.2%
코 51
 
1.6%
인 48
 
1.5%
스 38
 
1.2%
이 25
 
0.8%
타 21
 
0.6%
Other values (326) 907
27.8%
ASCII
ValueCountFrequency (%)
270
76.1%
M 6
 
1.7%
L 6
 
1.7%
E 5
 
1.4%
2 5
 
1.4%
O 4
 
1.1%
P 4
 
1.1%
C 4
 
1.1%
I 4
 
1.1%
T 3
 
0.8%
Other values (22) 44
 
12.4%
None
ValueCountFrequency (%)
· 1
100.0%

영업소도로명소재지
Text

Distinct432
Distinct (%)98.6%
Missing1
Missing (%)0.2%
Memory size3.6 KiB
2024-04-17T20:54:49.048316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length43
Mean length30.06621
Min length24

Characters and Unicode

Total characters13169
Distinct characters200
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique426 ?
Unique (%)97.3%

Sample

1st row전라북도 전주시 덕진구 명륜3길 20 (덕진동1가)
2nd row전라북도 전주시 덕진구 기린대로 847 (팔복동2가)
3rd row전라북도 전주시 덕진구 편운로 54 (동산동)
4th row전라북도 전주시 완산구 서학로 34 (동서학동)
5th row전라북도 전주시 덕진구 조경단로 72 (금암동)
ValueCountFrequency (%)
전라북도 438
 
15.8%
전주시 438
 
15.8%
완산구 258
 
9.3%
덕진구 180
 
6.5%
중화산동2가 51
 
1.8%
삼천동1가 43
 
1.6%
2층 39
 
1.4%
효자동3가 30
 
1.1%
서신동 27
 
1.0%
송천동2가 26
 
0.9%
Other values (510) 1240
44.8%
2024-04-17T20:54:49.402340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2337
 
17.7%
전 900
 
6.8%
북 458
 
3.5%
주 458
 
3.5%
동 458
 
3.5%
) 445
 
3.4%
( 445
 
3.4%
1 444
 
3.4%
구 442
 
3.4%
시 441
 
3.3%
Other values (190) 6341
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7899
60.0%
Space Separator 2337
 
17.7%
Decimal Number 1791
 
13.6%
Close Punctuation 445
 
3.4%
Open Punctuation 445
 
3.4%
Other Punctuation 136
 
1.0%
Dash Punctuation 108
 
0.8%
Uppercase Letter 5
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 900
 
11.4%
북 458
 
5.8%
주 458
 
5.8%
동 458
 
5.8%
구 442
 
5.6%
시 441
 
5.6%
도 440
 
5.6%
라 439
 
5.6%
산 399
 
5.1%
가 341
 
4.3%
Other values (167) 3123
39.5%
Decimal Number
ValueCountFrequency (%)
1 444
24.8%
2 395
22.1%
3 242
13.5%
4 171
 
9.5%
7 103
 
5.8%
5 101
 
5.6%
0 94
 
5.2%
6 92
 
5.1%
8 82
 
4.6%
9 67
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
A 1
20.0%
D 1
20.0%
B 1
20.0%
S 1
20.0%
C 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 134
98.5%
/ 1
 
0.7%
. 1
 
0.7%
Space Separator
ValueCountFrequency (%)
2337
100.0%
Close Punctuation
ValueCountFrequency (%)
) 445
100.0%
Open Punctuation
ValueCountFrequency (%)
( 445
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 108
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7899
60.0%
Common 5265
40.0%
Latin 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 900
 
11.4%
북 458
 
5.8%
주 458
 
5.8%
동 458
 
5.8%
구 442
 
5.6%
시 441
 
5.6%
도 440
 
5.6%
라 439
 
5.6%
산 399
 
5.1%
가 341
 
4.3%
Other values (167) 3123
39.5%
Common
ValueCountFrequency (%)
2337
44.4%
) 445
 
8.5%
( 445
 
8.5%
1 444
 
8.4%
2 395
 
7.5%
3 242
 
4.6%
4 171
 
3.2%
, 134
 
2.5%
- 108
 
2.1%
7 103
 
2.0%
Other values (8) 441
 
8.4%
Latin
ValueCountFrequency (%)
A 1
20.0%
D 1
20.0%
B 1
20.0%
S 1
20.0%
C 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7899
60.0%
ASCII 5270
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2337
44.3%
) 445
 
8.4%
( 445
 
8.4%
1 444
 
8.4%
2 395
 
7.5%
3 242
 
4.6%
4 171
 
3.2%
, 134
 
2.5%
- 108
 
2.0%
7 103
 
2.0%
Other values (13) 446
 
8.5%
Hangul
ValueCountFrequency (%)
전 900
 
11.4%
북 458
 
5.8%
주 458
 
5.8%
동 458
 
5.8%
구 442
 
5.6%
시 441
 
5.6%
도 440
 
5.6%
라 439
 
5.6%
산 399
 
5.1%
가 341
 
4.3%
Other values (167) 3123
39.5%

영업소지번소재지
Text

Distinct430
Distinct (%)98.2%
Missing1
Missing (%)0.2%
Memory size3.6 KiB
2024-04-17T20:54:49.561129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length40
Mean length25.833333
Min length21

Characters and Unicode

Total characters11315
Distinct characters106
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique422 ?
Unique (%)96.3%

Sample

1st row전라북도 전주시 덕진구 덕진동1가 1314-179
2nd row전라북도 전주시 덕진구 팔복동2가 599-4
3rd row전라북도 전주시 덕진구 여의동2가 665-17
4th row전라북도 전주시 완산구 동서학동 137
5th row전라북도 전주시 덕진구 금암동 1561-6
ValueCountFrequency (%)
전라북도 438
19.3%
전주시 438
19.3%
완산구 258
 
11.4%
덕진구 180
 
7.9%
중화산동2가 55
 
2.4%
삼천동1가 44
 
1.9%
효자동3가 31
 
1.4%
서신동 29
 
1.3%
송천동2가 26
 
1.1%
평화동1가 23
 
1.0%
Other values (489) 748
33.0%
2024-04-17T20:54:50.051803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2263
20.0%
전 876
 
7.7%
1 523
 
4.6%
북 445
 
3.9%
동 444
 
3.9%
2 440
 
3.9%
라 439
 
3.9%
구 438
 
3.9%
시 438
 
3.9%
주 438
 
3.9%
Other values (96) 4571
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6257
55.3%
Decimal Number 2347
 
20.7%
Space Separator 2263
 
20.0%
Dash Punctuation 411
 
3.6%
Close Punctuation 14
 
0.1%
Open Punctuation 14
 
0.1%
Other Punctuation 4
 
< 0.1%
Uppercase Letter 4
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 876
14.0%
북 445
 
7.1%
동 444
 
7.1%
라 439
 
7.0%
구 438
 
7.0%
시 438
 
7.0%
주 438
 
7.0%
도 438
 
7.0%
가 345
 
5.5%
산 318
 
5.1%
Other values (75) 1638
26.2%
Decimal Number
ValueCountFrequency (%)
1 523
22.3%
2 440
18.7%
3 222
9.5%
6 200
 
8.5%
4 196
 
8.4%
5 194
 
8.3%
7 187
 
8.0%
8 152
 
6.5%
9 131
 
5.6%
0 102
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
D 1
25.0%
B 1
25.0%
C 1
25.0%
S 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
/ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
2263
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 411
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6257
55.3%
Common 5054
44.7%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 876
14.0%
북 445
 
7.1%
동 444
 
7.1%
라 439
 
7.0%
구 438
 
7.0%
시 438
 
7.0%
주 438
 
7.0%
도 438
 
7.0%
가 345
 
5.5%
산 318
 
5.1%
Other values (75) 1638
26.2%
Common
ValueCountFrequency (%)
2263
44.8%
1 523
 
10.3%
2 440
 
8.7%
- 411
 
8.1%
3 222
 
4.4%
6 200
 
4.0%
4 196
 
3.9%
5 194
 
3.8%
7 187
 
3.7%
8 152
 
3.0%
Other values (7) 266
 
5.3%
Latin
ValueCountFrequency (%)
D 1
25.0%
B 1
25.0%
C 1
25.0%
S 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6257
55.3%
ASCII 5058
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2263
44.7%
1 523
 
10.3%
2 440
 
8.7%
- 411
 
8.1%
3 222
 
4.4%
6 200
 
4.0%
4 196
 
3.9%
5 194
 
3.8%
7 187
 
3.7%
8 152
 
3.0%
Other values (11) 270
 
5.3%
Hangul
ValueCountFrequency (%)
전 876
14.0%
북 445
 
7.1%
동 444
 
7.1%
라 439
 
7.0%
구 438
 
7.0%
시 438
 
7.0%
주 438
 
7.0%
도 438
 
7.0%
가 345
 
5.5%
산 318
 
5.1%
Other values (75) 1638
26.2%

전화번호
Text

MISSING 

Distinct246
Distinct (%)96.5%
Missing184
Missing (%)41.9%
Memory size3.6 KiB
2024-04-17T20:54:50.248750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters3060
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

Unique237 ?
Unique (%)92.9%

Sample

1st row063-272-6575
2nd row063-242-0381
3rd row063-232-0229
4th row063-288-7786
5th row063-227-4705
ValueCountFrequency (%)
063-283-5342 2
 
0.8%
063-262-2368 2
 
0.8%
063-228-1331 2
 
0.8%
063-274-0739 2
 
0.8%
063-223-9430 2
 
0.8%
063-223-8759 2
 
0.8%
063-221-6433 2
 
0.8%
063-223-2335 2
 
0.8%
063-223-3523 2
 
0.8%
063-226-3691 1
 
0.4%
Other values (236) 236
92.5%
2024-04-17T20:54:50.549567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 510
16.7%
2 506
16.5%
3 412
13.5%
0 388
12.7%
6 359
11.7%
7 178
 
5.8%
5 166
 
5.4%
4 153
 
5.0%
8 144
 
4.7%
1 144
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2550
83.3%
Dash Punctuation 510
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 506
19.8%
3 412
16.2%
0 388
15.2%
6 359
14.1%
7 178
 
7.0%
5 166
 
6.5%
4 153
 
6.0%
8 144
 
5.6%
1 144
 
5.6%
9 100
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 510
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3060
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 510
16.7%
2 506
16.5%
3 412
13.5%
0 388
12.7%
6 359
11.7%
7 178
 
5.8%
5 166
 
5.4%
4 153
 
5.0%
8 144
 
4.7%
1 144
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3060
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 510
16.7%
2 506
16.5%
3 412
13.5%
0 388
12.7%
6 359
11.7%
7 178
 
5.8%
5 166
 
5.4%
4 153
 
5.0%
8 144
 
4.7%
1 144
 
4.7%

청소년실(유,무)
Text

Distinct92
Distinct (%)21.0%
Missing1
Missing (%)0.2%
Memory size3.6 KiB
2024-04-17T20:54:50.736078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length8
Mean length12.292237
Min length7

Characters and Unicode

Total characters5384
Distinct characters22
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

Unique49 ?
Unique (%)11.2%

Sample

1st row유-총실수(9) 청소년실수(3)
2nd row무-총실수(7)
3rd row무-총실수(7)
4th row유-총실수(8) 청소년실수(7)
5th row무-총실수(6)
ValueCountFrequency (%)
무-총실수(5 68
 
10.7%
청소년실수(1 58
 
9.1%
무-총실수(6 54
 
8.5%
무-총실수(7 49
 
7.7%
청소년실수(2 36
 
5.7%
유-총실수(6 31
 
4.9%
유-총실수(7 30
 
4.7%
유-총실수(5 26
 
4.1%
유-총실수(8 19
 
3.0%
무-총실수(4 19
 
3.0%
Other values (54) 244
38.5%
2024-04-17T20:54:51.014238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
실 634
11.8%
수 634
11.8%
( 634
11.8%
) 634
11.8%
- 438
 
8.1%
총 438
 
8.1%
무 242
 
4.5%
년 196
 
3.6%
소 196
 
3.6%
청 196
 
3.6%
Other values (12) 1142
21.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2732
50.7%
Decimal Number 750
 
13.9%
Open Punctuation 634
 
11.8%
Close Punctuation 634
 
11.8%
Dash Punctuation 438
 
8.1%
Space Separator 196
 
3.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 168
22.4%
5 114
15.2%
6 100
13.3%
7 98
13.1%
2 85
11.3%
8 50
 
6.7%
4 38
 
5.1%
0 35
 
4.7%
9 33
 
4.4%
3 29
 
3.9%
Other Letter
ValueCountFrequency (%)
실 634
23.2%
수 634
23.2%
총 438
16.0%
무 242
 
8.9%
년 196
 
7.2%
소 196
 
7.2%
청 196
 
7.2%
유 196
 
7.2%
Open Punctuation
ValueCountFrequency (%)
( 634
100.0%
Close Punctuation
ValueCountFrequency (%)
) 634
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 438
100.0%
Space Separator
ValueCountFrequency (%)
196
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2732
50.7%
Common 2652
49.3%

Most frequent character per script

Common
ValueCountFrequency (%)
( 634
23.9%
) 634
23.9%
- 438
16.5%
196
 
7.4%
1 168
 
6.3%
5 114
 
4.3%
6 100
 
3.8%
7 98
 
3.7%
2 85
 
3.2%
8 50
 
1.9%
Other values (4) 135
 
5.1%
Hangul
ValueCountFrequency (%)
실 634
23.2%
수 634
23.2%
총 438
16.0%
무 242
 
8.9%
년 196
 
7.2%
소 196
 
7.2%
청 196
 
7.2%
유 196
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2732
50.7%
ASCII 2652
49.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
실 634
23.2%
수 634
23.2%
총 438
16.0%
무 242
 
8.9%
년 196
 
7.2%
소 196
 
7.2%
청 196
 
7.2%
유 196
 
7.2%
ASCII
ValueCountFrequency (%)
( 634
23.9%
) 634
23.9%
- 438
16.5%
196
 
7.4%
1 168
 
6.3%
5 114
 
4.3%
6 100
 
3.8%
7 98
 
3.7%
2 85
 
3.2%
8 50
 
1.9%
Other values (4) 135
 
5.1%

Missing values

2024-04-17T20:54:47.996347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-17T20:54:48.071588image/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.
2024-04-17T20:54:48.152108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

상호명영업소도로명소재지영업소지번소재지전화번호청소년실(유,무)
0신나는노래연습장전라북도 전주시 덕진구 명륜3길 20 (덕진동1가)전라북도 전주시 덕진구 덕진동1가 1314-179063-272-6575유-총실수(9) 청소년실수(3)
1동반자노래연습장전라북도 전주시 덕진구 기린대로 847 (팔복동2가)전라북도 전주시 덕진구 팔복동2가 599-4<NA>무-총실수(7)
2우신노래연습장전라북도 전주시 덕진구 편운로 54 (동산동)전라북도 전주시 덕진구 여의동2가 665-17063-242-0381무-총실수(7)
3팝콘 노래연습장전라북도 전주시 완산구 서학로 34 (동서학동)전라북도 전주시 완산구 동서학동 137063-232-0229유-총실수(8) 청소년실수(7)
4향수빛노래연습장전라북도 전주시 덕진구 조경단로 72 (금암동)전라북도 전주시 덕진구 금암동 1561-6<NA>무-총실수(6)
5퓨처월드노래연습장전라북도 전주시 덕진구 명륜4길 18-3 (덕진동1가)전라북도 전주시 덕진구 덕진동1가 1314-172<NA>무-총실수(11)
6하이트노래연습장전라북도 전주시 덕진구 우아3길 9 (우아동3가)전라북도 전주시 덕진구 우아동3가 747-46063-288-7786무-총실수(10)
7소리쳐노래연습장전라북도 전주시 덕진구 쪽구름로 105 (반월동)전라북도 전주시 덕진구 반월동 243-8<NA>유-총실수(9) 청소년실수(7)
8캉캉 노래연습장전라북도 전주시 완산구 신봉3길 35-13 (효자동1가)전라북도 전주시 완산구 효자동1가 608-1063-227-4705무-총실수(5)
9노송 노래연습장전라북도 전주시 완산구 마당재2길 82 (남노송동)전라북도 전주시 완산구 남노송동 159-9063-282-7527무-총실수(4)
상호명영업소도로명소재지영업소지번소재지전화번호청소년실(유,무)
429COMON MUSIC PLEX 코인노래연습장전라북도 전주시 완산구 평화로 209, 다온빌딩 1층 (평화동1가)전라북도 전주시 완산구 평화동1가 718-5<NA>유-총실수(25) 청소년실수(25)
430노래야노래야 코인노래연습장전라북도 전주시 완산구 홍산남로 52, 2층 (효자동2가)전라북도 전주시 완산구 효자동2가 1155-3<NA>유-총실수(20) 청소년실수(20)
431쿨 코인노래연습장전라북도 전주시 완산구 전주객사5길 73-26 (고사동)전라북도 전주시 완산구 고사동 232-4063-277-0463유-총실수(20) 청소년실수(20)
432썸씽코인노래연습장전라북도 전주시 덕진구 한배미로 48, 소라빌딩 2층 (우아동1가)전라북도 전주시 덕진구 우아동1가 1102-4 소라빌딩<NA>유-총실수(13) 청소년실수(13)
433몬스터 코인노래연습장전라북도 전주시 완산구 평화9길 14, 3층 (평화동2가)전라북도 전주시 완산구 평화동2가 230-115<NA>유-총실수(18) 청소년실수(18)
434복면가왕 코인노래연습장전라북도 전주시 완산구 봉곡로 116, 1층 (효자동2가)전라북도 전주시 완산구 효자동2가 1327-2<NA>유-총실수(18) 청소년실수(18)
435세븐스타 코인노래연습장 전주 에코시티점전라북도 전주시 덕진구 세병2길 31-7, 403호 (송천동2가)전라북도 전주시 덕진구 송천동2가 1327-8<NA>유-총실수(15) 청소년실수(15)
436필통노래연습장전라북도 전주시 완산구 중산중앙로 32, 2층 (중화산동2가)전라북도 전주시 완산구 중화산동2가 628-5 2층<NA>무-총실수(7)
437에코코인노래연습장전라북도 전주시 덕진구 세병1길 36, 베스트타워 301호 (송천동2가)전라북도 전주시 덕진구 송천동2가 1327-6 베스트타워<NA>유-총실수(17) 청소년실수()
438<NA><NA><NA><NA><NA>