Overview

Dataset statistics

Number of variables6
Number of observations205
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.9 KiB
Average record size in memory49.6 B

Variable types

Categorical1
Text4
Numeric1

Dataset

Description대구광역시 수성구 관내 노래연습장 현황에 관한 데이터로 노래연습장의 상호, 소재지, 전화번호 등의 항목을 제공합니다.
Author대구광역시 수성구
URLhttps://www.data.go.kr/data/3075542/fileData.do

Alerts

업종 has constant value ""Constant
영업소도로명소재지 has unique valuesUnique
영업소지번소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:45:51.721327
Analysis finished2023-12-12 13:45:52.246475
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
노래연습장
205 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노래연습장 205
100.0%

Length

2023-12-12T22:45:52.302164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:45:52.383386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노래연습장 205
100.0%

상호명
Text

Distinct193
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T22:45:52.553302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length7.0292683
Min length1

Characters and Unicode

Total characters1441
Distinct characters236
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique182 ?
Unique (%)88.8%

Sample

1st row오페라노래연습장
2nd row맨하탄노래연습장
3rd row필통노래연습장
4th row첼로노래연습장
5th row테크노영상노래연습장
ValueCountFrequency (%)
노래연습장 4
 
1.9%
멜론노래연습장 3
 
1.4%
톡톡 2
 
0.9%
축제노래연습장 2
 
0.9%
라이브노래연습장 2
 
0.9%
황제노래연습장 2
 
0.9%
범어노래연습장 2
 
0.9%
스타노래연습장 2
 
0.9%
제우스 2
 
0.9%
칼라노래연습장 2
 
0.9%
Other values (186) 188
89.1%
2023-12-12T22:45:52.935644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
노 176
 
12.2%
래 175
 
12.1%
연 175
 
12.1%
장 174
 
12.1%
습 173
 
12.0%
스 22
 
1.5%
동 18
 
1.2%
리 14
 
1.0%
전 14
 
1.0%
라 11
 
0.8%
Other values (226) 489
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1419
98.5%
Space Separator 6
 
0.4%
Decimal Number 5
 
0.3%
Uppercase Letter 4
 
0.3%
Close Punctuation 3
 
0.2%
Open Punctuation 3
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
노 176
 
12.4%
래 175
 
12.3%
연 175
 
12.3%
장 174
 
12.3%
습 173
 
12.2%
스 22
 
1.6%
동 18
 
1.3%
리 14
 
1.0%
전 14
 
1.0%
라 11
 
0.8%
Other values (215) 467
32.9%
Decimal Number
ValueCountFrequency (%)
0 2
40.0%
2 1
20.0%
8 1
20.0%
3 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
S 2
50.0%
B 1
25.0%
K 1
25.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1419
98.5%
Common 18
 
1.2%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
노 176
 
12.4%
래 175
 
12.3%
연 175
 
12.3%
장 174
 
12.3%
습 173
 
12.2%
스 22
 
1.6%
동 18
 
1.3%
리 14
 
1.0%
전 14
 
1.0%
라 11
 
0.8%
Other values (215) 467
32.9%
Common
ValueCountFrequency (%)
6
33.3%
) 3
16.7%
( 3
16.7%
0 2
 
11.1%
- 1
 
5.6%
2 1
 
5.6%
8 1
 
5.6%
3 1
 
5.6%
Latin
ValueCountFrequency (%)
S 2
50.0%
B 1
25.0%
K 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1419
98.5%
ASCII 22
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
노 176
 
12.4%
래 175
 
12.3%
연 175
 
12.3%
장 174
 
12.3%
습 173
 
12.2%
스 22
 
1.6%
동 18
 
1.3%
리 14
 
1.0%
전 14
 
1.0%
라 11
 
0.8%
Other values (215) 467
32.9%
ASCII
ValueCountFrequency (%)
6
27.3%
) 3
13.6%
( 3
13.6%
0 2
 
9.1%
S 2
 
9.1%
B 1
 
4.5%
K 1
 
4.5%
- 1
 
4.5%
2 1
 
4.5%
8 1
 
4.5%

영업소도로명소재지
Text

UNIQUE 

Distinct205
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T22:45:53.292021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length34
Mean length24.887805
Min length20

Characters and Unicode

Total characters5102
Distinct characters90
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

Unique205 ?
Unique (%)100.0%

Sample

1st row대구광역시 수성구 수성로 290 (수성동2가)
2nd row대구광역시 수성구 수성로 273 (수성동1가)
3rd row대구광역시 수성구 고산로18길 19 (신매동)
4th row대구광역시 수성구 들안로 28 (두산동)
5th row대구광역시 수성구 지범로31길 7 (지산동)
ValueCountFrequency (%)
대구광역시 205
19.5%
수성구 205
19.5%
지산동 37
 
3.5%
범어동 34
 
3.2%
들안로 31
 
2.9%
두산동 28
 
2.7%
만촌동 17
 
1.6%
황금동 16
 
1.5%
신매동 13
 
1.2%
수성로 13
 
1.2%
Other values (245) 454
43.1%
2023-12-12T22:45:53.799230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
848
16.6%
구 449
 
8.8%
수 253
 
5.0%
성 245
 
4.8%
대 244
 
4.8%
동 230
 
4.5%
시 213
 
4.2%
) 205
 
4.0%
( 205
 
4.0%
역 205
 
4.0%
Other values (80) 2005
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3087
60.5%
Space Separator 848
 
16.6%
Decimal Number 710
 
13.9%
Close Punctuation 205
 
4.0%
Open Punctuation 205
 
4.0%
Dash Punctuation 25
 
0.5%
Other Punctuation 22
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 449
14.5%
수 253
 
8.2%
성 245
 
7.9%
대 244
 
7.9%
동 230
 
7.5%
시 213
 
6.9%
역 205
 
6.6%
광 205
 
6.6%
로 204
 
6.6%
지 78
 
2.5%
Other values (65) 761
24.7%
Decimal Number
ValueCountFrequency (%)
1 139
19.6%
2 110
15.5%
3 101
14.2%
4 71
10.0%
9 67
9.4%
6 57
8.0%
5 53
 
7.5%
8 44
 
6.2%
0 36
 
5.1%
7 32
 
4.5%
Space Separator
ValueCountFrequency (%)
848
100.0%
Close Punctuation
ValueCountFrequency (%)
) 205
100.0%
Open Punctuation
ValueCountFrequency (%)
( 205
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3087
60.5%
Common 2015
39.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 449
14.5%
수 253
 
8.2%
성 245
 
7.9%
대 244
 
7.9%
동 230
 
7.5%
시 213
 
6.9%
역 205
 
6.6%
광 205
 
6.6%
로 204
 
6.6%
지 78
 
2.5%
Other values (65) 761
24.7%
Common
ValueCountFrequency (%)
848
42.1%
) 205
 
10.2%
( 205
 
10.2%
1 139
 
6.9%
2 110
 
5.5%
3 101
 
5.0%
4 71
 
3.5%
9 67
 
3.3%
6 57
 
2.8%
5 53
 
2.6%
Other values (5) 159
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3087
60.5%
ASCII 2015
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
848
42.1%
) 205
 
10.2%
( 205
 
10.2%
1 139
 
6.9%
2 110
 
5.5%
3 101
 
5.0%
4 71
 
3.5%
9 67
 
3.3%
6 57
 
2.8%
5 53
 
2.6%
Other values (5) 159
 
7.9%
Hangul
ValueCountFrequency (%)
구 449
14.5%
수 253
 
8.2%
성 245
 
7.9%
대 244
 
7.9%
동 230
 
7.5%
시 213
 
6.9%
역 205
 
6.6%
광 205
 
6.6%
로 204
 
6.6%
지 78
 
2.5%
Other values (65) 761
24.7%

우편번호
Real number (ℝ)

Distinct93
Distinct (%)45.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42151.102
Minimum42000
Maximum42287
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T22:45:53.932404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42000
5-th percentile42005
Q142117
median42165
Q342196
95-th percentile42274
Maximum42287
Range287
Interquartile range (IQR)79

Descriptive statistics

Standard deviation76.924615
Coefficient of variation (CV)0.0018249728
Kurtosis-0.52044628
Mean42151.102
Median Absolute Deviation (MAD)34
Skewness-0.40754221
Sum8640976
Variance5917.3963
MonotonicityNot monotonic
2023-12-12T22:45:54.073843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42175 12
 
5.9%
42274 11
 
5.4%
42196 10
 
4.9%
42189 9
 
4.4%
42140 8
 
3.9%
42197 6
 
2.9%
42173 5
 
2.4%
42001 5
 
2.4%
42009 5
 
2.4%
42143 5
 
2.4%
Other values (83) 129
62.9%
ValueCountFrequency (%)
42000 2
 
1.0%
42001 5
2.4%
42002 1
 
0.5%
42005 4
2.0%
42007 1
 
0.5%
42009 5
2.4%
42013 1
 
0.5%
42016 1
 
0.5%
42019 1
 
0.5%
42025 1
 
0.5%
ValueCountFrequency (%)
42287 1
 
0.5%
42277 1
 
0.5%
42276 1
 
0.5%
42274 11
5.4%
42271 2
 
1.0%
42269 1
 
0.5%
42268 1
 
0.5%
42266 1
 
0.5%
42256 1
 
0.5%
42255 1
 
0.5%

영업소지번소재지
Text

UNIQUE 

Distinct205
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T22:45:54.368134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length31
Mean length21.068293
Min length16

Characters and Unicode

Total characters4319
Distinct characters80
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

Unique205 ?
Unique (%)100.0%

Sample

1st row대구광역시 수성구 수성동2가 295
2nd row대구광역시 수성구 수성동1가 419-5
3rd row대구광역시 수성구 신매동 568-5
4th row대구광역시 수성구 두산동 153-12
5th row대구광역시 수성구 지산동 1285-13
ValueCountFrequency (%)
대구광역시 205
24.3%
수성구 205
24.3%
지산동 37
 
4.4%
범어동 34
 
4.0%
두산동 28
 
3.3%
만촌동 17
 
2.0%
황금동 16
 
1.9%
신매동 13
 
1.5%
상동 10
 
1.2%
수성동4가 9
 
1.1%
Other values (236) 269
31.9%
2023-12-12T22:45:54.805953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
842
19.5%
구 412
 
9.5%
성 231
 
5.3%
수 230
 
5.3%
시 210
 
4.9%
동 210
 
4.9%
대 206
 
4.8%
광 206
 
4.8%
역 206
 
4.8%
1 204
 
4.7%
Other values (70) 1362
31.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2357
54.6%
Decimal Number 942
 
21.8%
Space Separator 842
 
19.5%
Dash Punctuation 176
 
4.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 412
17.5%
성 231
9.8%
수 230
9.8%
시 210
8.9%
동 210
8.9%
대 206
8.7%
광 206
8.7%
역 206
8.7%
산 65
 
2.8%
지 45
 
1.9%
Other values (56) 336
14.3%
Decimal Number
ValueCountFrequency (%)
1 204
21.7%
2 136
14.4%
3 86
9.1%
5 85
9.0%
7 81
 
8.6%
4 79
 
8.4%
6 74
 
7.9%
8 71
 
7.5%
0 67
 
7.1%
9 59
 
6.3%
Space Separator
ValueCountFrequency (%)
842
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 176
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2357
54.6%
Common 1962
45.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 412
17.5%
성 231
9.8%
수 230
9.8%
시 210
8.9%
동 210
8.9%
대 206
8.7%
광 206
8.7%
역 206
8.7%
산 65
 
2.8%
지 45
 
1.9%
Other values (56) 336
14.3%
Common
ValueCountFrequency (%)
842
42.9%
1 204
 
10.4%
- 176
 
9.0%
2 136
 
6.9%
3 86
 
4.4%
5 85
 
4.3%
7 81
 
4.1%
4 79
 
4.0%
6 74
 
3.8%
8 71
 
3.6%
Other values (4) 128
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2357
54.6%
ASCII 1962
45.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
842
42.9%
1 204
 
10.4%
- 176
 
9.0%
2 136
 
6.9%
3 86
 
4.4%
5 85
 
4.3%
7 81
 
4.1%
4 79
 
4.0%
6 74
 
3.8%
8 71
 
3.6%
Other values (4) 128
 
6.5%
Hangul
ValueCountFrequency (%)
구 412
17.5%
성 231
9.8%
수 230
9.8%
시 210
8.9%
동 210
8.9%
대 206
8.7%
광 206
8.7%
역 206
8.7%
산 65
 
2.8%
지 45
 
1.9%
Other values (56) 336
14.3%

전화번호
Text

Distinct164
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T22:45:55.053343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11
Min length7

Characters and Unicode

Total characters2255
Distinct characters18
Distinct categories4 ?
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 (%)79.0%

Sample

1st row053-766-5222
2nd row053-767-8701
3rd row053-794-1221
4th row053-767-2218
5th row053-784-3312
ValueCountFrequency (%)
개인정보 41
 
16.7%
포함 41
 
16.7%
053-764-6500 2
 
0.8%
053-983-6918 1
 
0.4%
053-751-0829 1
 
0.4%
053-784-3111 1
 
0.4%
053-766-5222 1
 
0.4%
053-782-5366 1
 
0.4%
053-767-4440 1
 
0.4%
053-783-2191 1
 
0.4%
Other values (155) 155
63.0%
2023-12-12T22:45:55.407580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 328
14.5%
5 269
11.9%
3 259
11.5%
0 248
11.0%
7 221
9.8%
6 138
 
6.1%
4 119
 
5.3%
8 107
 
4.7%
1 105
 
4.7%
2 93
 
4.1%
Other values (8) 368
16.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1640
72.7%
Dash Punctuation 328
 
14.5%
Other Letter 246
 
10.9%
Space Separator 41
 
1.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 269
16.4%
3 259
15.8%
0 248
15.1%
7 221
13.5%
6 138
8.4%
4 119
7.3%
8 107
 
6.5%
1 105
 
6.4%
2 93
 
5.7%
9 81
 
4.9%
Other Letter
ValueCountFrequency (%)
인 41
16.7%
함 41
16.7%
포 41
16.7%
보 41
16.7%
정 41
16.7%
개 41
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 328
100.0%
Space Separator
ValueCountFrequency (%)
41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2009
89.1%
Hangul 246
 
10.9%

Most frequent character per script

Common
ValueCountFrequency (%)
- 328
16.3%
5 269
13.4%
3 259
12.9%
0 248
12.3%
7 221
11.0%
6 138
6.9%
4 119
 
5.9%
8 107
 
5.3%
1 105
 
5.2%
2 93
 
4.6%
Other values (2) 122
 
6.1%
Hangul
ValueCountFrequency (%)
인 41
16.7%
함 41
16.7%
포 41
16.7%
보 41
16.7%
정 41
16.7%
개 41
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2009
89.1%
Hangul 246
 
10.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 328
16.3%
5 269
13.4%
3 259
12.9%
0 248
12.3%
7 221
11.0%
6 138
6.9%
4 119
 
5.9%
8 107
 
5.3%
1 105
 
5.2%
2 93
 
4.6%
Other values (2) 122
 
6.1%
Hangul
ValueCountFrequency (%)
인 41
16.7%
함 41
16.7%
포 41
16.7%
보 41
16.7%
정 41
16.7%
개 41
16.7%

Interactions

2023-12-12T22:45:51.999584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T22:45:52.120591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:45:52.212541image/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

업종상호명영업소도로명소재지우편번호영업소지번소재지전화번호
0노래연습장오페라노래연습장대구광역시 수성구 수성로 290 (수성동2가)42133대구광역시 수성구 수성동2가 295053-766-5222
1노래연습장맨하탄노래연습장대구광역시 수성구 수성로 273 (수성동1가)42135대구광역시 수성구 수성동1가 419-5053-767-8701
2노래연습장필통노래연습장대구광역시 수성구 고산로18길 19 (신매동)42274대구광역시 수성구 신매동 568-5053-794-1221
3노래연습장첼로노래연습장대구광역시 수성구 들안로 28 (두산동)42173대구광역시 수성구 두산동 153-12053-767-2218
4노래연습장테크노영상노래연습장대구광역시 수성구 지범로31길 7 (지산동)42196대구광역시 수성구 지산동 1285-13053-784-3312
5노래연습장엘에이대구광역시 수성구 들안로 181 (중동)42151대구광역시 수성구 중동 77-1053-767-0015
6노래연습장아모르대구광역시 수성구 들안로 34 (두산동)42173대구광역시 수성구 두산동 152-4053-744-4006
7노래연습장탑대구광역시 수성구 달구벌대로 지하 2500 (범어동)42088대구광역시 수성구 범어동 835 수성구청역053-753-7513
8노래연습장대자연대구광역시 수성구 파동로 99 (파동)42228대구광역시 수성구 파동 199-22053-763-9465
9노래연습장아테네노래연습장대구광역시 수성구 용학로 196 (지산동)42219대구광역시 수성구 지산동 1193-3053-782-0782
업종상호명영업소도로명소재지우편번호영업소지번소재지전화번호
195노래연습장티제이퍼펙트싱어동전노래연습장대구광역시 수성구 달구벌대로504길 5 (범어동)42089대구광역시 수성구 범어동 211-15개인정보 포함
196노래연습장오렌지동전노래연습장(신천점)대구광역시 수성구 들안로 412 (범어동)42009대구광역시 수성구 범어동 1161개인정보 포함
197노래연습장동전가왕코인노래연습장대구광역시 수성구 달구벌대로 2514 (범어동)42088대구광역시 수성구 범어동 206-4개인정보 포함
198노래연습장코인락스타노래연습장 대구지산점대구광역시 수성구 지범로 159 (지산동)42196대구광역시 수성구 지산동 1276-7개인정보 포함
199노래연습장엠넷스타 동전노래연습장대구광역시 수성구 신매로19길 34 (신매동)42274대구광역시 수성구 신매동 567-44개인정보 포함
200노래연습장더엠 노래연습장대구광역시 수성구 수성못2길 36, 3층 (두산동)42203대구광역시 수성구 두산동 707개인정보 포함
201노래연습장씽쏭동전노래연습장대구광역시 수성구 청수로40길 29, 105동 2층 201호 (황금동, 화성고려파크뷰)42178대구광역시 수성구 황금동 505 화성고려파크뷰 105동 201호개인정보 포함
202노래연습장레코드코인노래연습장대구광역시 수성구 알파시티2로 27, 수성메트로 2층 201호 (시지동)42251대구광역시 수성구 시지동 579-7 수성메트로개인정보 포함
203노래연습장세븐스타코인노래연습장대구광역시 수성구 상록로 5, 3층 (범어동)42019대구광역시 수성구 범어동 557-19개인정보 포함
204노래연습장더엠럭셔리노래연습장(수성)대구광역시 수성구 수성못2길 35, 2층 (두산동)42203대구광역시 수성구 두산동 706-1개인정보 포함