Overview

Dataset statistics

Number of variables6
Number of observations1366
Missing cells11
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory65.5 KiB
Average record size in memory49.1 B

Variable types

Numeric1
Categorical2
Text3

Dataset

Description서울특별시성동광진교육지원청 관내(성동구, 광진구) 교습소 및 학원에 대한 데이터로 학원 및 교습소명, 전화번호, 위치, 분야등을 제공합니다.
URLhttps://www.data.go.kr/data/15053918/fileData.do

Alerts

연번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
학원명/교습소명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:47:22.238452
Analysis finished2023-12-12 00:47:23.748298
Duration1.51 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1366
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean683.5
Minimum1
Maximum1366
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.1 KiB
2023-12-12T09:47:23.852989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile69.25
Q1342.25
median683.5
Q31024.75
95-th percentile1297.75
Maximum1366
Range1365
Interquartile range (IQR)682.5

Descriptive statistics

Standard deviation394.47455
Coefficient of variation (CV)0.57713906
Kurtosis-1.2
Mean683.5
Median Absolute Deviation (MAD)341.5
Skewness0
Sum933661
Variance155610.17
MonotonicityStrictly increasing
2023-12-12T09:47:24.072007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
910 1
 
0.1%
918 1
 
0.1%
917 1
 
0.1%
916 1
 
0.1%
915 1
 
0.1%
914 1
 
0.1%
913 1
 
0.1%
912 1
 
0.1%
911 1
 
0.1%
Other values (1356) 1356
99.3%
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 (%)
1366 1
0.1%
1365 1
0.1%
1364 1
0.1%
1363 1
0.1%
1362 1
0.1%
1361 1
0.1%
1360 1
0.1%
1359 1
0.1%
1358 1
0.1%
1357 1
0.1%

구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
학원
794 
교습소
572 

Length

Max length3
Median length2
Mean length2.4187408
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
학원 794
58.1%
교습소 572
41.9%

Length

2023-12-12T09:47:24.315301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:47:24.436480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학원 794
58.1%
교습소 572
41.9%

학원명/교습소명
Text

UNIQUE 

Distinct1366
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
2023-12-12T09:47:24.665403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length31
Mean length9.4897511
Min length4

Characters and Unicode

Total characters12963
Distinct characters595
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1366 ?
Unique (%)100.0%

Sample

1st row수인비초중등관학원
2nd row군자스터디뱅크독서실
3rd row김길진커피랩학원
4th row더쇼프로젝트모델학원
5th row엘림보습학원
ValueCountFrequency (%)
english)영어교습소 4
 
0.3%
수인비초중등관학원 1
 
0.1%
엘리트뮤지션피아노교습소 1
 
0.1%
줄리아드피아노교습소 1
 
0.1%
아이뮤직음악교습소 1
 
0.1%
글렌피아노교습소 1
 
0.1%
홍선생피아노교습소 1
 
0.1%
예아음악교습소 1
 
0.1%
더피아니스트음악교습소 1
 
0.1%
아이러브음악교습소 1
 
0.1%
Other values (1379) 1379
99.1%
2023-12-12T09:47:25.081198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 1004
 
7.7%
원 807
 
6.2%
습 723
 
5.6%
소 590
 
4.6%
교 583
 
4.5%
어 309
 
2.4%
아 255
 
2.0%
스 255
 
2.0%
수 254
 
2.0%
미 242
 
1.9%
Other values (585) 7941
61.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11984
92.4%
Uppercase Letter 357
 
2.8%
Lowercase Letter 341
 
2.6%
Decimal Number 82
 
0.6%
Close Punctuation 69
 
0.5%
Open Punctuation 69
 
0.5%
Other Punctuation 28
 
0.2%
Space Separator 26
 
0.2%
Dash Punctuation 4
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 1004
 
8.4%
원 807
 
6.7%
습 723
 
6.0%
소 590
 
4.9%
교 583
 
4.9%
어 309
 
2.6%
아 255
 
2.1%
스 255
 
2.1%
수 254
 
2.1%
미 242
 
2.0%
Other values (516) 6962
58.1%
Uppercase Letter
ValueCountFrequency (%)
E 42
11.8%
T 37
 
10.4%
M 31
 
8.7%
A 28
 
7.8%
S 27
 
7.6%
B 23
 
6.4%
C 23
 
6.4%
O 17
 
4.8%
P 17
 
4.8%
H 16
 
4.5%
Other values (14) 96
26.9%
Lowercase Letter
ValueCountFrequency (%)
n 36
10.6%
e 34
10.0%
i 31
 
9.1%
s 27
 
7.9%
a 26
 
7.6%
h 25
 
7.3%
l 25
 
7.3%
o 22
 
6.5%
t 20
 
5.9%
r 16
 
4.7%
Other values (13) 79
23.2%
Decimal Number
ValueCountFrequency (%)
1 22
26.8%
0 19
23.2%
2 18
22.0%
3 9
11.0%
5 7
 
8.5%
7 3
 
3.7%
4 3
 
3.7%
9 1
 
1.2%
Other Punctuation
ValueCountFrequency (%)
& 11
39.3%
. 5
17.9%
' 3
 
10.7%
, 2
 
7.1%
· 2
 
7.1%
! 2
 
7.1%
% 2
 
7.1%
/ 1
 
3.6%
Close Punctuation
ValueCountFrequency (%)
) 69
100.0%
Open Punctuation
ValueCountFrequency (%)
( 69
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11984
92.4%
Latin 698
 
5.4%
Common 281
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 1004
 
8.4%
원 807
 
6.7%
습 723
 
6.0%
소 590
 
4.9%
교 583
 
4.9%
어 309
 
2.6%
아 255
 
2.1%
스 255
 
2.1%
수 254
 
2.1%
미 242
 
2.0%
Other values (516) 6962
58.1%
Latin
ValueCountFrequency (%)
E 42
 
6.0%
T 37
 
5.3%
n 36
 
5.2%
e 34
 
4.9%
i 31
 
4.4%
M 31
 
4.4%
A 28
 
4.0%
S 27
 
3.9%
s 27
 
3.9%
a 26
 
3.7%
Other values (37) 379
54.3%
Common
ValueCountFrequency (%)
) 69
24.6%
( 69
24.6%
26
 
9.3%
1 22
 
7.8%
0 19
 
6.8%
2 18
 
6.4%
& 11
 
3.9%
3 9
 
3.2%
5 7
 
2.5%
. 5
 
1.8%
Other values (12) 26
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11984
92.4%
ASCII 976
 
7.5%
None 2
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 1004
 
8.4%
원 807
 
6.7%
습 723
 
6.0%
소 590
 
4.9%
교 583
 
4.9%
어 309
 
2.6%
아 255
 
2.1%
스 255
 
2.1%
수 254
 
2.1%
미 242
 
2.0%
Other values (516) 6962
58.1%
ASCII
ValueCountFrequency (%)
) 69
 
7.1%
( 69
 
7.1%
E 42
 
4.3%
T 37
 
3.8%
n 36
 
3.7%
e 34
 
3.5%
i 31
 
3.2%
M 31
 
3.2%
A 28
 
2.9%
S 27
 
2.8%
Other values (57) 572
58.6%
None
ValueCountFrequency (%)
· 2
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

전화번호
Text

Distinct1067
Distinct (%)78.7%
Missing11
Missing (%)0.8%
Memory size10.8 KiB
2023-12-12T09:47:25.468871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.593358
Min length11

Characters and Unicode

Total characters15709
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

Unique1037 ?
Unique (%)76.5%

Sample

1st row02-447-7736
2nd row02-466-0979
3rd row02-564-8700
4th row02-545-9331
5th row02-444-7663
ValueCountFrequency (%)
02-0000-0000 200
 
14.8%
00-000-0000 45
 
3.3%
02-000-0000 18
 
1.3%
02-457-2857 3
 
0.2%
02-2292-6492 2
 
0.1%
02-444-3368 2
 
0.1%
02-457-3371 2
 
0.1%
02-3394-4628 2
 
0.1%
02-447-7736 2
 
0.1%
02-2293-4886 2
 
0.1%
Other values (1057) 1077
79.5%
2023-12-12T09:47:26.001524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4291
27.3%
- 2710
17.3%
2 2529
16.1%
4 1281
 
8.2%
5 875
 
5.6%
9 752
 
4.8%
6 720
 
4.6%
7 696
 
4.4%
3 658
 
4.2%
1 629
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12999
82.7%
Dash Punctuation 2710
 
17.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4291
33.0%
2 2529
19.5%
4 1281
 
9.9%
5 875
 
6.7%
9 752
 
5.8%
6 720
 
5.5%
7 696
 
5.4%
3 658
 
5.1%
1 629
 
4.8%
8 568
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 2710
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15709
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4291
27.3%
- 2710
17.3%
2 2529
16.1%
4 1281
 
8.2%
5 875
 
5.6%
9 752
 
4.8%
6 720
 
4.6%
7 696
 
4.4%
3 658
 
4.2%
1 629
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15709
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4291
27.3%
- 2710
17.3%
2 2529
16.1%
4 1281
 
8.2%
5 875
 
5.6%
9 752
 
4.8%
6 720
 
4.6%
7 696
 
4.4%
3 658
 
4.2%
1 629
 
4.0%

위치
Text

Distinct1356
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
2023-12-12T09:47:26.314803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length102
Median length60
Mean length36.166179
Min length23

Characters and Unicode

Total characters49403
Distinct characters337
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

Unique1346 ?
Unique (%)98.5%

Sample

1st row서울특별시 광진구 용마산로 114 , 2층 (중곡동)
2nd row서울특별시 광진구 군자로 100 (군자동)
3rd row서울특별시 성동구 성수이로24길 50 , 4층일부 (성수동2가, 희은빌딩)
4th row서울특별시 성동구 광나루로 250 , 4층 (성수동2가, 현대웨딩홀)
5th row서울특별시 광진구 천호대로 616 3층일부 (능동)
ValueCountFrequency (%)
서울특별시 1366
 
13.2%
1050
 
10.2%
광진구 793
 
7.7%
성동구 573
 
5.6%
2층 291
 
2.8%
구의동 232
 
2.2%
3층 177
 
1.7%
자양동 171
 
1.7%
행당동 132
 
1.3%
아차산로 127
 
1.2%
Other values (1551) 5403
52.4%
2023-12-12T09:47:26.842819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9095
 
18.4%
동 2327
 
4.7%
, 1712
 
3.5%
구 1687
 
3.4%
서 1479
 
3.0%
) 1435
 
2.9%
( 1435
 
2.9%
울 1404
 
2.8%
1 1382
 
2.8%
시 1373
 
2.8%
Other values (327) 26074
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27847
56.4%
Space Separator 9095
 
18.4%
Decimal Number 7570
 
15.3%
Other Punctuation 1733
 
3.5%
Close Punctuation 1435
 
2.9%
Open Punctuation 1435
 
2.9%
Dash Punctuation 155
 
0.3%
Uppercase Letter 92
 
0.2%
Math Symbol 27
 
0.1%
Lowercase Letter 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2327
 
8.4%
구 1687
 
6.1%
서 1479
 
5.3%
울 1404
 
5.0%
시 1373
 
4.9%
특 1366
 
4.9%
별 1366
 
4.9%
로 1240
 
4.5%
광 1092
 
3.9%
층 950
 
3.4%
Other values (283) 13563
48.7%
Uppercase Letter
ValueCountFrequency (%)
B 22
23.9%
A 16
17.4%
C 9
9.8%
L 6
 
6.5%
S 6
 
6.5%
D 6
 
6.5%
K 5
 
5.4%
I 4
 
4.3%
H 3
 
3.3%
P 3
 
3.3%
Other values (7) 12
13.0%
Decimal Number
ValueCountFrequency (%)
1 1382
18.3%
2 1349
17.8%
3 1093
14.4%
0 863
11.4%
4 782
10.3%
5 596
7.9%
6 535
 
7.1%
7 366
 
4.8%
8 321
 
4.2%
9 283
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
e 4
28.6%
o 3
21.4%
r 2
14.3%
i 2
14.3%
w 2
14.3%
n 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 1712
98.8%
. 15
 
0.9%
· 3
 
0.2%
& 2
 
0.1%
? 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 26
96.3%
+ 1
 
3.7%
Space Separator
ValueCountFrequency (%)
9095
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1435
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1435
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 155
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27847
56.4%
Common 21450
43.4%
Latin 106
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2327
 
8.4%
구 1687
 
6.1%
서 1479
 
5.3%
울 1404
 
5.0%
시 1373
 
4.9%
특 1366
 
4.9%
별 1366
 
4.9%
로 1240
 
4.5%
광 1092
 
3.9%
층 950
 
3.4%
Other values (283) 13563
48.7%
Latin
ValueCountFrequency (%)
B 22
20.8%
A 16
15.1%
C 9
 
8.5%
L 6
 
5.7%
S 6
 
5.7%
D 6
 
5.7%
K 5
 
4.7%
e 4
 
3.8%
I 4
 
3.8%
o 3
 
2.8%
Other values (13) 25
23.6%
Common
ValueCountFrequency (%)
9095
42.4%
, 1712
 
8.0%
) 1435
 
6.7%
( 1435
 
6.7%
1 1382
 
6.4%
2 1349
 
6.3%
3 1093
 
5.1%
0 863
 
4.0%
4 782
 
3.6%
5 596
 
2.8%
Other values (11) 1708
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27847
56.4%
ASCII 21553
43.6%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9095
42.2%
, 1712
 
7.9%
) 1435
 
6.7%
( 1435
 
6.7%
1 1382
 
6.4%
2 1349
 
6.3%
3 1093
 
5.1%
0 863
 
4.0%
4 782
 
3.6%
5 596
 
2.8%
Other values (33) 1811
 
8.4%
Hangul
ValueCountFrequency (%)
동 2327
 
8.4%
구 1687
 
6.1%
서 1479
 
5.3%
울 1404
 
5.0%
시 1373
 
4.9%
특 1366
 
4.9%
별 1366
 
4.9%
로 1240
 
4.5%
광 1092
 
3.9%
층 950
 
3.4%
Other values (283) 13563
48.7%
None
ValueCountFrequency (%)
· 3
100.0%

분야구분
Categorical

Distinct10
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
입시.검정 및 보습
694 
예능(대)
409 
국제화
 
66
기예(대)
 
45
직업기술
 
43
Other values (5)
109 

Length

Max length10
Median length10
Mean length7.3528551
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row입시.검정 및 보습
2nd row독서실
3rd row직업기술
4th row기예(대)
5th row입시.검정 및 보습

Common Values

ValueCountFrequency (%)
입시.검정 및 보습 694
50.8%
예능(대) 409
29.9%
국제화 66
 
4.8%
기예(대) 45
 
3.3%
직업기술 43
 
3.1%
독서실 41
 
3.0%
기타(대) 39
 
2.9%
종합(대) 21
 
1.5%
인문사회(대) 5
 
0.4%
정보 3
 
0.2%

Length

2023-12-12T09:47:27.001239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:47:27.158808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
입시.검정 694
25.2%
및 694
25.2%
보습 694
25.2%
예능(대 409
14.9%
국제화 66
 
2.4%
기예(대 45
 
1.6%
직업기술 43
 
1.6%
독서실 41
 
1.5%
기타(대 39
 
1.4%
종합(대 21
 
0.8%
Other values (2) 8
 
0.3%

Interactions

2023-12-12T09:47:23.349006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:47:27.259284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분분야구분
연번1.0000.9990.526
구분0.9991.0000.501
분야구분0.5260.5011.000
2023-12-12T09:47:27.380856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분분야구분
구분1.0000.385
분야구분0.3851.000
2023-12-12T09:47:27.472003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분분야구분
연번1.0000.9650.185
구분0.9651.0000.385
분야구분0.1850.3851.000

Missing values

2023-12-12T09:47:23.514888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:47:23.676386image/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

연번구분학원명/교습소명전화번호위치분야구분
01학원수인비초중등관학원02-447-7736서울특별시 광진구 용마산로 114 , 2층 (중곡동)입시.검정 및 보습
12학원군자스터디뱅크독서실02-466-0979서울특별시 광진구 군자로 100 (군자동)독서실
23학원김길진커피랩학원02-564-8700서울특별시 성동구 성수이로24길 50 , 4층일부 (성수동2가, 희은빌딩)직업기술
34학원더쇼프로젝트모델학원02-545-9331서울특별시 성동구 광나루로 250 , 4층 (성수동2가, 현대웨딩홀)기예(대)
45학원엘림보습학원02-444-7663서울특별시 광진구 천호대로 616 3층일부 (능동)입시.검정 및 보습
56학원맨하탄음악학원02-2298-8002서울특별시 성동구 독서당로 187 극동상가 408호(옥수동)예능(대)
67학원유림컴퓨터학원02-468-2174서울특별시 성동구 뚝섬로 325-1 (성수동1가)직업기술
78학원다솜음악학원02-457-0607서울특별시 광진구 용마산로7길 30 2층(중곡동)예능(대)
89학원센띠아모음악학원02-444-2981서울특별시 광진구 능동로6길 22 2층(자양동)예능(대)
910학원푸른솔컴퓨터학원02-447-1979서울특별시 광진구 뚝섬로 681 3층 (자양동)직업기술
연번구분학원명/교습소명전화번호위치분야구분
13561357교습소오성컴퓨터교습소02-444-7300서울특별시 광진구 뚝섬로36가길 15 , 103호 (자양동,삼성아파트)기타(대)
13571358교습소모짜르트피아노교습소02-2296-5293서울특별시 성동구 고산자로8나길 28 2층 (행당동)예능(대)
13581359교습소푸르지오음악교습소02-3394-4628서울특별시 성동구 금호로 15 서울숲푸르지오아파트상가 301호(금호동4가)예능(대)
13591360교습소달세뇨와코다음악교습소02-849-0278서울특별시 성동구 서울숲길 36 , 현대아파트상가동 302호 (성수동1가, 현대아파트)예능(대)
13601361교습소벽산이화피아노교습소02-2291-1311서울특별시 성동구 금호로 102 벽산아파트상가 702호(금호동1가)예능(대)
13611362교습소리틀모짜르트피아노교습소02-453-7622서울특별시 광진구 천호대로136길 43 1층일부(구의동)예능(대)
13621363교습소비발디피아노음악교습소02-454-2338서울특별시 광진구 자양로40길 40 , 1층 (구의동)예능(대)
13631364교습소아인스음악교습소02-461-0048서울특별시 성동구 상원길 46 , 3층 일부 (성수동1가)예능(대)
13641365교습소한나음악교습소02-2282-3339서울특별시 성동구 독서당로 375 , 신동아아파트 상가동 1층 102호 (응봉동,신동아아파트)예능(대)
13651366교습소두드림음악교습소02-2293-8969서울특별시 성동구 무학봉길 35 , KCC스위첸상가 303호 (하왕십리동)예능(대)