Overview

Dataset statistics

Number of variables7
Number of observations166
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.5 KiB
Average record size in memory58.8 B

Variable types

Categorical2
Text3
Numeric2

Dataset

Description부산광역시 동래구 관내 노래연습장 현황에 대한 데이터로 상호명, 영업소소재지(도로명주소) 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/3080992/fileData.do

Alerts

업종명 has constant value ""Constant
영업소주소(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:03:39.973748
Analysis finished2023-12-12 13:03:40.881840
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
노래연습장업
166 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노래연습장업 166
100.0%

Length

2023-12-12T22:03:40.937529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:03:41.036589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노래연습장업 166
100.0%

상호명
Text

Distinct148
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T22:03:41.213220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length8.1445783
Min length2

Characters and Unicode

Total characters1352
Distinct characters222
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

Unique136 ?
Unique (%)81.9%

Sample

1st rowSBSⅡ 노래연습장
2nd row태백노래연습장
3rd row마돈나노래연습장
4th row동경노래연습장
5th row하모니노래연습장
ValueCountFrequency (%)
노래연습장 30
 
14.4%
궁전노래연습장 5
 
2.4%
팡팡노래연습장 4
 
1.9%
신바람노래연습장 3
 
1.4%
수노래연습장 2
 
1.0%
코인노래연습장 2
 
1.0%
락휴코인노래연습장 2
 
1.0%
친구노래연습장 2
 
1.0%
고래고래노래연습장 2
 
1.0%
야호노래연습장 2
 
1.0%
Other values (149) 155
74.2%
2023-12-12T22:03:41.569783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
래 170
 
12.6%
노 166
 
12.3%
장 164
 
12.1%
연 162
 
12.0%
습 162
 
12.0%
43
 
3.2%
스 16
 
1.2%
코 12
 
0.9%
동 12
 
0.9%
팡 10
 
0.7%
Other values (212) 435
32.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1273
94.2%
Space Separator 43
 
3.2%
Uppercase Letter 22
 
1.6%
Decimal Number 8
 
0.6%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Letter Number 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
래 170
13.4%
노 166
13.0%
장 164
12.9%
연 162
12.7%
습 162
12.7%
스 16
 
1.3%
코 12
 
0.9%
동 12
 
0.9%
팡 10
 
0.8%
전 10
 
0.8%
Other values (190) 389
30.6%
Uppercase Letter
ValueCountFrequency (%)
S 4
18.2%
P 4
18.2%
K 3
13.6%
O 3
13.6%
T 2
9.1%
A 1
 
4.5%
B 1
 
4.5%
R 1
 
4.5%
M 1
 
4.5%
F 1
 
4.5%
Decimal Number
ValueCountFrequency (%)
0 2
25.0%
2 2
25.0%
5 1
12.5%
7 1
12.5%
8 1
12.5%
1 1
12.5%
Space Separator
ValueCountFrequency (%)
43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1273
94.2%
Common 56
 
4.1%
Latin 23
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
래 170
13.4%
노 166
13.0%
장 164
12.9%
연 162
12.7%
습 162
12.7%
스 16
 
1.3%
코 12
 
0.9%
동 12
 
0.9%
팡 10
 
0.8%
전 10
 
0.8%
Other values (190) 389
30.6%
Latin
ValueCountFrequency (%)
S 4
17.4%
P 4
17.4%
K 3
13.0%
O 3
13.0%
T 2
8.7%
A 1
 
4.3%
Ⅱ 1
 
4.3%
B 1
 
4.3%
R 1
 
4.3%
M 1
 
4.3%
Other values (2) 2
8.7%
Common
ValueCountFrequency (%)
43
76.8%
0 2
 
3.6%
2 2
 
3.6%
) 2
 
3.6%
( 2
 
3.6%
- 1
 
1.8%
5 1
 
1.8%
7 1
 
1.8%
8 1
 
1.8%
1 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1273
94.2%
ASCII 78
 
5.8%
Number Forms 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
래 170
13.4%
노 166
13.0%
장 164
12.9%
연 162
12.7%
습 162
12.7%
스 16
 
1.3%
코 12
 
0.9%
동 12
 
0.9%
팡 10
 
0.8%
전 10
 
0.8%
Other values (190) 389
30.6%
ASCII
ValueCountFrequency (%)
43
55.1%
S 4
 
5.1%
P 4
 
5.1%
K 3
 
3.8%
O 3
 
3.8%
0 2
 
2.6%
2 2
 
2.6%
T 2
 
2.6%
) 2
 
2.6%
( 2
 
2.6%
Other values (11) 11
 
14.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

우편번호
Real number (ℝ)

Distinct59
Distinct (%)35.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47791.88
Minimum47708
Maximum47901
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T22:03:41.983190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47708
5-th percentile47709.75
Q147741.5
median47786
Q347826.75
95-th percentile47890.75
Maximum47901
Range193
Interquartile range (IQR)85.25

Descriptive statistics

Standard deviation51.520493
Coefficient of variation (CV)0.0010780177
Kurtosis-0.71849269
Mean47791.88
Median Absolute Deviation (MAD)41.5
Skewness0.3346531
Sum7933452
Variance2654.3612
MonotonicityNot monotonic
2023-12-12T22:03:42.133724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47736 17
 
10.2%
47865 10
 
6.0%
47783 9
 
5.4%
47782 9
 
5.4%
47786 6
 
3.6%
47709 6
 
3.6%
47787 5
 
3.0%
47728 5
 
3.0%
47808 4
 
2.4%
47837 4
 
2.4%
Other values (49) 91
54.8%
ValueCountFrequency (%)
47708 3
 
1.8%
47709 6
 
3.6%
47712 1
 
0.6%
47718 1
 
0.6%
47727 1
 
0.6%
47728 5
 
3.0%
47731 1
 
0.6%
47732 1
 
0.6%
47736 17
10.2%
47737 3
 
1.8%
ValueCountFrequency (%)
47901 1
 
0.6%
47900 1
 
0.6%
47895 4
 
2.4%
47894 2
 
1.2%
47891 1
 
0.6%
47890 1
 
0.6%
47875 2
 
1.2%
47866 2
 
1.2%
47865 10
6.0%
47864 3
 
1.8%

영업소주소(도로명)
Text

UNIQUE 

Distinct166
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T22:03:42.362227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length36
Mean length30.746988
Min length22

Characters and Unicode

Total characters5104
Distinct characters94
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

Unique166 ?
Unique (%)100.0%

Sample

1st row부산광역시 동래구 충렬대로237번길 58, 2층 (복천동)
2nd row부산광역시 동래구 명서로 144, 지하1층 (명장동)
3rd row부산광역시 동래구 명안로85번길 17, 지하1층 (명장동)
4th row부산광역시 동래구 미남로 28-1, 지하1층 (사직동)
5th row부산광역시 동래구 충렬대로108번길 42, 지하1층 (온천동)
ValueCountFrequency (%)
부산광역시 166
16.7%
동래구 166
16.7%
지하1층 76
 
7.6%
안락동 55
 
5.5%
2층 46
 
4.6%
온천동 33
 
3.3%
명륜동 26
 
2.6%
사직동 24
 
2.4%
명장동 19
 
1.9%
안락로 18
 
1.8%
Other values (183) 366
36.8%
2023-12-12T22:03:42.723775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
829
 
16.2%
동 339
 
6.6%
1 218
 
4.3%
시 173
 
3.4%
광 167
 
3.3%
부 166
 
3.3%
구 166
 
3.3%
) 166
 
3.3%
( 166
 
3.3%
산 166
 
3.3%
Other values (84) 2548
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2975
58.3%
Space Separator 829
 
16.2%
Decimal Number 794
 
15.6%
Close Punctuation 166
 
3.3%
Open Punctuation 166
 
3.3%
Other Punctuation 161
 
3.2%
Dash Punctuation 13
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 339
 
11.4%
시 173
 
5.8%
광 167
 
5.6%
부 166
 
5.6%
구 166
 
5.6%
산 166
 
5.6%
역 166
 
5.6%
래 166
 
5.6%
로 165
 
5.5%
층 152
 
5.1%
Other values (69) 1149
38.6%
Decimal Number
ValueCountFrequency (%)
1 218
27.5%
2 155
19.5%
4 71
 
8.9%
3 70
 
8.8%
5 55
 
6.9%
9 54
 
6.8%
8 48
 
6.0%
0 46
 
5.8%
7 42
 
5.3%
6 35
 
4.4%
Space Separator
ValueCountFrequency (%)
829
100.0%
Close Punctuation
ValueCountFrequency (%)
) 166
100.0%
Open Punctuation
ValueCountFrequency (%)
( 166
100.0%
Other Punctuation
ValueCountFrequency (%)
, 161
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2975
58.3%
Common 2129
41.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 339
 
11.4%
시 173
 
5.8%
광 167
 
5.6%
부 166
 
5.6%
구 166
 
5.6%
산 166
 
5.6%
역 166
 
5.6%
래 166
 
5.6%
로 165
 
5.5%
층 152
 
5.1%
Other values (69) 1149
38.6%
Common
ValueCountFrequency (%)
829
38.9%
1 218
 
10.2%
) 166
 
7.8%
( 166
 
7.8%
, 161
 
7.6%
2 155
 
7.3%
4 71
 
3.3%
3 70
 
3.3%
5 55
 
2.6%
9 54
 
2.5%
Other values (5) 184
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2975
58.3%
ASCII 2129
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
829
38.9%
1 218
 
10.2%
) 166
 
7.8%
( 166
 
7.8%
, 161
 
7.6%
2 155
 
7.3%
4 71
 
3.3%
3 70
 
3.3%
5 55
 
2.6%
9 54
 
2.5%
Other values (5) 184
 
8.6%
Hangul
ValueCountFrequency (%)
동 339
 
11.4%
시 173
 
5.8%
광 167
 
5.6%
부 166
 
5.6%
구 166
 
5.6%
산 166
 
5.6%
역 166
 
5.6%
래 166
 
5.6%
로 165
 
5.5%
층 152
 
5.1%
Other values (69) 1149
38.6%

영업소주소(지번)
Text

Distinct164
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T22:03:43.136301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length22.644578
Min length18

Characters and Unicode

Total characters3759
Distinct characters53
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

Unique162 ?
Unique (%)97.6%

Sample

1st row부산광역시 동래구 복천동 292-9
2nd row부산광역시 동래구 명장동 497-81
3rd row부산광역시 동래구 명장동 132-43
4th row부산광역시 동래구 사직동 153-7 지하1층
5th row부산광역시 동래구 온천동 1451-17
ValueCountFrequency (%)
부산광역시 166
22.2%
동래구 166
22.2%
안락동 55
 
7.4%
지하1층 37
 
5.0%
온천동 33
 
4.4%
2층 28
 
3.7%
명륜동 26
 
3.5%
사직동 24
 
3.2%
명장동 19
 
2.5%
수안동 7
 
0.9%
Other values (173) 186
24.9%
2023-12-12T22:03:43.666809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
746
19.8%
동 335
 
8.9%
1 170
 
4.5%
부 166
 
4.4%
광 166
 
4.4%
역 166
 
4.4%
시 166
 
4.4%
래 166
 
4.4%
구 166
 
4.4%
산 166
 
4.4%
Other values (43) 1346
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2005
53.3%
Decimal Number 830
22.1%
Space Separator 746
 
19.8%
Dash Punctuation 163
 
4.3%
Close Punctuation 7
 
0.2%
Open Punctuation 7
 
0.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 335
16.7%
부 166
8.3%
광 166
8.3%
역 166
8.3%
시 166
8.3%
래 166
8.3%
구 166
8.3%
산 166
8.3%
층 76
 
3.8%
안 62
 
3.1%
Other values (28) 370
18.5%
Decimal Number
ValueCountFrequency (%)
1 170
20.5%
2 127
15.3%
4 120
14.5%
5 96
11.6%
3 83
10.0%
6 61
 
7.3%
9 50
 
6.0%
7 46
 
5.5%
0 41
 
4.9%
8 36
 
4.3%
Space Separator
ValueCountFrequency (%)
746
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 163
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2005
53.3%
Common 1754
46.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 335
16.7%
부 166
8.3%
광 166
8.3%
역 166
8.3%
시 166
8.3%
래 166
8.3%
구 166
8.3%
산 166
8.3%
층 76
 
3.8%
안 62
 
3.1%
Other values (28) 370
18.5%
Common
ValueCountFrequency (%)
746
42.5%
1 170
 
9.7%
- 163
 
9.3%
2 127
 
7.2%
4 120
 
6.8%
5 96
 
5.5%
3 83
 
4.7%
6 61
 
3.5%
9 50
 
2.9%
7 46
 
2.6%
Other values (5) 92
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2005
53.3%
ASCII 1754
46.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
746
42.5%
1 170
 
9.7%
- 163
 
9.3%
2 127
 
7.2%
4 120
 
6.8%
5 96
 
5.5%
3 83
 
4.7%
6 61
 
3.5%
9 50
 
2.9%
7 46
 
2.6%
Other values (5) 92
 
5.2%
Hangul
ValueCountFrequency (%)
동 335
16.7%
부 166
8.3%
광 166
8.3%
역 166
8.3%
시 166
8.3%
래 166
8.3%
구 166
8.3%
산 166
8.3%
층 76
 
3.8%
안 62
 
3.1%
Other values (28) 370
18.5%

청소년실(유_무)
Categorical

Distinct47
Distinct (%)28.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
무-총실수(5)
26 
무-총실수(6)
16 
무-총실수(7)
15 
무-총실수(4)
15 
유-총실수(5) 청소년실수(2)
9 
Other values (42)
85 

Length

Max length19
Median length8
Mean length11.73494
Min length7

Unique

Unique26 ?
Unique (%)15.7%

Sample

1st row무-총실수(5)
2nd row무-총실수(5)
3rd row유-총실수() 청소년실수()
4th row무-총실수(5)
5th row무-총실수(4)

Common Values

ValueCountFrequency (%)
무-총실수(5) 26
15.7%
무-총실수(6) 16
 
9.6%
무-총실수(7) 15
 
9.0%
무-총실수(4) 15
 
9.0%
유-총실수(5) 청소년실수(2) 9
 
5.4%
유-총실수(5) 청소년실수(1) 9
 
5.4%
무-총실수(8) 8
 
4.8%
무-총실수() 5
 
3.0%
유-총실수(6) 청소년실수(2) 4
 
2.4%
유-총실수(4) 청소년실수(2) 4
 
2.4%
Other values (37) 55
33.1%

Length

2023-12-12T22:03:43.832688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
무-총실수(5 26
 
11.1%
청소년실수(2 26
 
11.1%
유-총실수(5 20
 
8.5%
청소년실수(1 20
 
8.5%
무-총실수(6 16
 
6.8%
무-총실수(7 15
 
6.4%
무-총실수(4 15
 
6.4%
청소년실수 9
 
3.8%
유-총실수(6 9
 
3.8%
무-총실수(8 8
 
3.4%
Other values (33) 70
29.9%

시설면적
Real number (ℝ)

Distinct161
Distinct (%)97.6%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean142.13764
Minimum43.98
Maximum373.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T22:03:43.991774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43.98
5-th percentile78.92
Q1111.53
median133.34
Q3161.28
95-th percentile243.486
Maximum373.42
Range329.44
Interquartile range (IQR)49.75

Descriptive statistics

Standard deviation52.702754
Coefficient of variation (CV)0.37078676
Kurtosis3.8098474
Mean142.13764
Median Absolute Deviation (MAD)23.39
Skewness1.5656059
Sum23452.71
Variance2777.5803
MonotonicityNot monotonic
2023-12-12T22:03:44.186176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
224.89 2
 
1.2%
117.19 2
 
1.2%
114.23 2
 
1.2%
95.29 2
 
1.2%
172.27 1
 
0.6%
99.2 1
 
0.6%
154.62 1
 
0.6%
171.66 1
 
0.6%
148.68 1
 
0.6%
132.48 1
 
0.6%
Other values (151) 151
91.0%
ValueCountFrequency (%)
43.98 1
0.6%
45.6 1
0.6%
53.72 1
0.6%
63.64 1
0.6%
63.86 1
0.6%
66.0 1
0.6%
72.0 1
0.6%
72.1 1
0.6%
78.87 1
0.6%
79.12 1
0.6%
ValueCountFrequency (%)
373.42 1
0.6%
334.88 1
0.6%
317.83 1
0.6%
309.48 1
0.6%
292.46 1
0.6%
291.44 1
0.6%
256.0 1
0.6%
246.53 1
0.6%
244.62 1
0.6%
238.95 1
0.6%

Interactions

2023-12-12T22:03:40.490276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:03:40.290486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:03:40.589374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:03:40.391715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:03:44.331488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호청소년실(유_무)시설면적
우편번호1.0000.4990.198
청소년실(유_무)0.4991.0000.862
시설면적0.1980.8621.000
2023-12-12T22:03:44.440849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호시설면적청소년실(유_무)
우편번호1.000-0.0860.174
시설면적-0.0861.0000.445
청소년실(유_무)0.1740.4451.000

Missing values

2023-12-12T22:03:40.704690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:03:40.832204image/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

업종명상호명우편번호영업소주소(도로명)영업소주소(지번)청소년실(유_무)시설면적
0노래연습장업SBSⅡ 노래연습장47810부산광역시 동래구 충렬대로237번길 58, 2층 (복천동)부산광역시 동래구 복천동 292-9무-총실수(5)172.27
1노래연습장업태백노래연습장47761부산광역시 동래구 명서로 144, 지하1층 (명장동)부산광역시 동래구 명장동 497-81무-총실수(5)93.58
2노래연습장업마돈나노래연습장47773부산광역시 동래구 명안로85번길 17, 지하1층 (명장동)부산광역시 동래구 명장동 132-43유-총실수() 청소년실수()43.98
3노래연습장업동경노래연습장47836부산광역시 동래구 미남로 28-1, 지하1층 (사직동)부산광역시 동래구 사직동 153-7 지하1층무-총실수(5)166.4
4노래연습장업하모니노래연습장47826부산광역시 동래구 충렬대로108번길 42, 지하1층 (온천동)부산광역시 동래구 온천동 1451-17무-총실수(4)109.97
5노래연습장업파타야노래연습장47894부산광역시 동래구 안남로 69, 지하1층 (안락동)부산광역시 동래구 안락동 670-4무-총실수(6)72.0
6노래연습장업석천노래연습장47731부산광역시 동래구 우장춘로4번길 24, 2층 (온천동)부산광역시 동래구 온천동 1428-4유-총실수(12) 청소년실수(1)196.55
7노래연습장업UFO 노래연습장47821부산광역시 동래구 미남로 142, 지하1층 (온천동)부산광역시 동래구 온천동 1424-6무-총실수(3)66.0
8노래연습장업아싸노래연습장47761부산광역시 동래구 명서로 158, 2층 (명장동)부산광역시 동래구 명장동 300-78유-총실수(7) 청소년실수(2)117.07
9노래연습장업코코노래연습장47772부산광역시 동래구 반송로 274-1, 지하1층 (명장동)부산광역시 동래구 명장동 62-22무-총실수(9)132.21
업종명상호명우편번호영업소주소(도로명)영업소주소(지번)청소년실(유_무)시설면적
156노래연습장업코인싱어동전노래연습장47736부산광역시 동래구 충렬대로181번길 29 (명륜동)부산광역시 동래구 명륜동 532-7유-총실수(22) 청소년실수(22)176.23
157노래연습장업히든 노래연습장47709부산광역시 동래구 온천장로107번길 44, 3층 (온천동)부산광역시 동래구 온천동 138-41무-총실수(2)101.44
158노래연습장업설탕 노래연습장47783부산광역시 동래구 명안로39번길 80, 지하1호 (안락동)부산광역시 동래구 안락동 427-41 지하1층무-총실수(4)79.12
159노래연습장업케이팝노래연습장47736부산광역시 동래구 충렬대로181번길 42, 동상빌딩 10층 (명륜동)부산광역시 동래구 명륜동 553-21무-총실수(10)224.89
160노래연습장업KPOP노래연습장47736부산광역시 동래구 충렬대로181번길 42, 동상빌딩 9층 (명륜동)부산광역시 동래구 명륜동 553-21무-총실수(7)224.89
161노래연습장업팡팡노래연습장47736부산광역시 동래구 명륜로129번길 54, 5층 (명륜동)부산광역시 동래구 명륜동 533-115유-총실수(7) 청소년실수(2)186.79
162노래연습장업엔젤스코인노래연습장47865부산광역시 동래구 사직북로 13, 2층 (사직동)부산광역시 동래구 사직동 78-38유-총실수(14) 청소년실수()119.68
163노래연습장업락휴코인노래연습장 동래점47808부산광역시 동래구 명륜로 128-1, 2층 (명륜동)부산광역시 동래구 명륜동 485-1유-총실수(21) 청소년실수()160.33
164노래연습장업락휴코인노래연습장 미남역점47851부산광역시 동래구 아시아드대로 239 (온천동)부산광역시 동래구 온천동 1248-6유-총실수(20) 청소년실수(20)141.33
165노래연습장업미디어스코프(주) 싱잇박스47727부산광역시 동래구 중앙대로 1393, 롯데백화점 8층 (온천동)부산광역시 동래구 온천동 502-3 롯데백화점무-총실수(5)<NA>