Overview

Dataset statistics

Number of variables6
Number of observations1887
Missing cells29
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory88.6 KiB
Average record size in memory48.1 B

Variable types

Categorical2
Text4

Dataset

Description서울특별시동작관악교육지원청 관내(동작구, 관악구) 평생교육시설현황입니다.(학원명, 주소, 전화번호 등)
Author서울특별시교육청 서울특별시동작관악교육지원청
URLhttps://www.data.go.kr/data/15053601/fileData.do

Alerts

등록상태 is highly imbalanced (93.3%)Imbalance
교습과정 has 29 (1.5%) missing valuesMissing

Reproduction

Analysis started2023-12-12 00:03:20.537718
Analysis finished2023-12-12 00:03:21.570067
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

종류
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.9 KiB
학원
1049 
교습소
697 
평생교육시설
141 

Length

Max length6
Median length2
Mean length2.6682565
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
학원 1049
55.6%
교습소 697
36.9%
평생교육시설 141
 
7.5%

Length

2023-12-12T09:03:21.693478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:03:21.841523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학원 1049
55.6%
교습소 697
36.9%
평생교육시설 141
 
7.5%

학원명
Text

Distinct1885
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size14.9 KiB
2023-12-12T09:03:22.112885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length30
Mean length9.3195548
Min length3

Characters and Unicode

Total characters17586
Distinct characters631
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1883 ?
Unique (%)99.8%

Sample

1st row아이은음악학원
2nd row박문각서울법학원
3rd row남정임미술학원
4th row건영음악학원
5th row이화음악학원
ValueCountFrequency (%)
아이지에스이아카데미(igse 4
 
0.2%
원격평생교육원 3
 
0.2%
윤선생아이지에스이아카데미(igse 3
 
0.2%
평생교육원 3
 
0.2%
현대피아노교습소 2
 
0.1%
평생교육시설 2
 
0.1%
서울덕성기술학원 2
 
0.1%
비엔나음악학원 2
 
0.1%
드림하이영어교습소 1
 
0.1%
그로잉트리영어교습소 1
 
0.1%
Other values (1884) 1884
98.8%
2023-12-12T09:03:22.503674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 1228
 
7.0%
원 1175
 
6.7%
교 875
 
5.0%
습 837
 
4.8%
소 750
 
4.3%
스 422
 
2.4%
이 386
 
2.2%
어 352
 
2.0%
수 323
 
1.8%
영 297
 
1.7%
Other values (621) 10941
62.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17033
96.9%
Uppercase Letter 186
 
1.1%
Lowercase Letter 120
 
0.7%
Decimal Number 99
 
0.6%
Close Punctuation 59
 
0.3%
Open Punctuation 59
 
0.3%
Space Separator 21
 
0.1%
Other Punctuation 6
 
< 0.1%
Dash Punctuation 2
 
< 0.1%
Final Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 1228
 
7.2%
원 1175
 
6.9%
교 875
 
5.1%
습 837
 
4.9%
소 750
 
4.4%
스 422
 
2.5%
이 386
 
2.3%
어 352
 
2.1%
수 323
 
1.9%
영 297
 
1.7%
Other values (562) 10388
61.0%
Uppercase Letter
ValueCountFrequency (%)
S 26
14.0%
E 23
12.4%
A 19
10.2%
I 17
 
9.1%
G 13
 
7.0%
M 12
 
6.5%
T 9
 
4.8%
C 9
 
4.8%
O 8
 
4.3%
N 7
 
3.8%
Other values (12) 43
23.1%
Lowercase Letter
ValueCountFrequency (%)
e 16
13.3%
a 13
10.8%
c 11
9.2%
m 9
 
7.5%
y 9
 
7.5%
d 8
 
6.7%
n 8
 
6.7%
l 7
 
5.8%
i 7
 
5.8%
s 5
 
4.2%
Other values (10) 27
22.5%
Decimal Number
ValueCountFrequency (%)
2 35
35.4%
1 23
23.2%
3 20
20.2%
0 6
 
6.1%
4 6
 
6.1%
9 2
 
2.0%
8 2
 
2.0%
6 2
 
2.0%
5 2
 
2.0%
7 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
& 4
66.7%
· 2
33.3%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17031
96.8%
Latin 306
 
1.7%
Common 247
 
1.4%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 1228
 
7.2%
원 1175
 
6.9%
교 875
 
5.1%
습 837
 
4.9%
소 750
 
4.4%
스 422
 
2.5%
이 386
 
2.3%
어 352
 
2.1%
수 323
 
1.9%
영 297
 
1.7%
Other values (560) 10386
61.0%
Latin
ValueCountFrequency (%)
S 26
 
8.5%
E 23
 
7.5%
A 19
 
6.2%
I 17
 
5.6%
e 16
 
5.2%
a 13
 
4.2%
G 13
 
4.2%
M 12
 
3.9%
c 11
 
3.6%
m 9
 
2.9%
Other values (32) 147
48.0%
Common
ValueCountFrequency (%)
) 59
23.9%
( 59
23.9%
2 35
14.2%
1 23
 
9.3%
21
 
8.5%
3 20
 
8.1%
0 6
 
2.4%
4 6
 
2.4%
& 4
 
1.6%
9 2
 
0.8%
Other values (7) 12
 
4.9%
Han
ValueCountFrequency (%)
來 1
50.0%
必 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17031
96.8%
ASCII 550
 
3.1%
None 2
 
< 0.1%
CJK 2
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 1228
 
7.2%
원 1175
 
6.9%
교 875
 
5.1%
습 837
 
4.9%
소 750
 
4.4%
스 422
 
2.5%
이 386
 
2.3%
어 352
 
2.1%
수 323
 
1.9%
영 297
 
1.7%
Other values (560) 10386
61.0%
ASCII
ValueCountFrequency (%)
) 59
 
10.7%
( 59
 
10.7%
2 35
 
6.4%
S 26
 
4.7%
1 23
 
4.2%
E 23
 
4.2%
21
 
3.8%
3 20
 
3.6%
A 19
 
3.5%
I 17
 
3.1%
Other values (47) 248
45.1%
None
ValueCountFrequency (%)
· 2
100.0%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%
CJK
ValueCountFrequency (%)
來 1
50.0%
必 1
50.0%

주소
Text

Distinct1859
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size14.9 KiB
2023-12-12T09:03:22.826813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length64
Mean length34.735029
Min length21

Characters and Unicode

Total characters65545
Distinct characters350
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1833 ?
Unique (%)97.1%

Sample

1st row서울특별시 관악구 난곡로35길 29 (신림동)
2nd row서울특별시 관악구 관악로 132 , 3층~5층 (봉천동)
3rd row서울특별시 관악구 구암길 25 2층(봉천동)
4th row서울특별시 관악구 신림로3길 40 상가2층(신림동)
5th row서울특별시 관악구 관악로14길 105 2층 (봉천동)
ValueCountFrequency (%)
서울특별시 1887
 
13.6%
1460
 
10.5%
동작구 1026
 
7.4%
관악구 861
 
6.2%
봉천동 353
 
2.5%
2층 339
 
2.4%
일부 290
 
2.1%
신림동 288
 
2.1%
3층 246
 
1.8%
사당동 182
 
1.3%
Other values (1879) 6957
50.1%
2023-12-12T09:03:23.273958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12302
 
18.8%
동 3168
 
4.8%
, 2251
 
3.4%
1 2044
 
3.1%
서 1937
 
3.0%
시 1922
 
2.9%
구 1906
 
2.9%
울 1891
 
2.9%
별 1888
 
2.9%
특 1887
 
2.9%
Other values (340) 34349
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37106
56.6%
Space Separator 12302
 
18.8%
Decimal Number 9957
 
15.2%
Other Punctuation 2267
 
3.5%
Open Punctuation 1756
 
2.7%
Close Punctuation 1754
 
2.7%
Dash Punctuation 173
 
0.3%
Math Symbol 133
 
0.2%
Uppercase Letter 88
 
0.1%
Lowercase Letter 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3168
 
8.5%
서 1937
 
5.2%
시 1922
 
5.2%
구 1906
 
5.1%
울 1891
 
5.1%
별 1888
 
5.1%
특 1887
 
5.1%
로 1662
 
4.5%
층 1421
 
3.8%
작 1136
 
3.1%
Other values (303) 18288
49.3%
Uppercase Letter
ValueCountFrequency (%)
B 39
44.3%
A 28
31.8%
S 5
 
5.7%
C 3
 
3.4%
T 2
 
2.3%
D 2
 
2.3%
F 1
 
1.1%
P 1
 
1.1%
O 1
 
1.1%
I 1
 
1.1%
Other values (5) 5
 
5.7%
Decimal Number
ValueCountFrequency (%)
1 2044
20.5%
2 1868
18.8%
3 1369
13.7%
0 1104
11.1%
4 984
9.9%
5 670
 
6.7%
6 655
 
6.6%
7 456
 
4.6%
9 447
 
4.5%
8 360
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 2251
99.3%
· 8
 
0.4%
. 5
 
0.2%
& 2
 
0.1%
@ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
12302
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1756
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1754
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 173
100.0%
Math Symbol
ValueCountFrequency (%)
~ 133
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 8
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37105
56.6%
Common 28343
43.2%
Latin 96
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3168
 
8.5%
서 1937
 
5.2%
시 1922
 
5.2%
구 1906
 
5.1%
울 1891
 
5.1%
별 1888
 
5.1%
특 1887
 
5.1%
로 1662
 
4.5%
층 1421
 
3.8%
작 1136
 
3.1%
Other values (302) 18287
49.3%
Common
ValueCountFrequency (%)
12302
43.4%
, 2251
 
7.9%
1 2044
 
7.2%
2 1868
 
6.6%
( 1756
 
6.2%
) 1754
 
6.2%
3 1369
 
4.8%
0 1104
 
3.9%
4 984
 
3.5%
5 670
 
2.4%
Other values (11) 2241
 
7.9%
Latin
ValueCountFrequency (%)
B 39
40.6%
A 28
29.2%
e 8
 
8.3%
S 5
 
5.2%
C 3
 
3.1%
T 2
 
2.1%
D 2
 
2.1%
F 1
 
1.0%
P 1
 
1.0%
O 1
 
1.0%
Other values (6) 6
 
6.2%
Han
ValueCountFrequency (%)
家 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37086
56.6%
ASCII 28431
43.4%
Compat Jamo 19
 
< 0.1%
None 8
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12302
43.3%
, 2251
 
7.9%
1 2044
 
7.2%
2 1868
 
6.6%
( 1756
 
6.2%
) 1754
 
6.2%
3 1369
 
4.8%
0 1104
 
3.9%
4 984
 
3.5%
5 670
 
2.4%
Other values (26) 2329
 
8.2%
Hangul
ValueCountFrequency (%)
동 3168
 
8.5%
서 1937
 
5.2%
시 1922
 
5.2%
구 1906
 
5.1%
울 1891
 
5.1%
별 1888
 
5.1%
특 1887
 
5.1%
로 1662
 
4.5%
층 1421
 
3.8%
작 1136
 
3.1%
Other values (301) 18268
49.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 19
100.0%
None
ValueCountFrequency (%)
· 8
100.0%
CJK
ValueCountFrequency (%)
家 1
100.0%

전화번호
Text

Distinct1462
Distinct (%)77.5%
Missing0
Missing (%)0.0%
Memory size14.9 KiB
2023-12-12T09:03:23.520803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.921039
Min length9

Characters and Unicode

Total characters20608
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1387 ?
Unique (%)73.5%

Sample

1st row02-853-4019
2nd row02-887-9161
3rd row02-874-1580
4th row02-887-2333
5th row02-886-5311
ValueCountFrequency (%)
관할교육지원청문의 288
 
15.3%
02-0000-0000 32
 
1.7%
02-888-5557 7
 
0.4%
02-812-6521 7
 
0.4%
02-1544-1881 6
 
0.3%
02-569-7467 6
 
0.3%
02-826-1555 4
 
0.2%
02-813-2700 4
 
0.2%
02-3280-0400 4
 
0.2%
02-878-1126 3
 
0.2%
Other values (1452) 1526
80.9%
2023-12-12T09:03:23.876733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 3198
15.5%
0 3058
14.8%
2 2702
13.1%
8 2164
10.5%
7 1156
 
5.6%
5 1154
 
5.6%
1 1148
 
5.6%
6 991
 
4.8%
3 969
 
4.7%
9 759
 
3.7%
Other values (10) 3309
16.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14818
71.9%
Dash Punctuation 3198
 
15.5%
Other Letter 2592
 
12.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3058
20.6%
2 2702
18.2%
8 2164
14.6%
7 1156
 
7.8%
5 1154
 
7.8%
1 1148
 
7.7%
6 991
 
6.7%
3 969
 
6.5%
9 759
 
5.1%
4 717
 
4.8%
Other Letter
ValueCountFrequency (%)
의 288
11.1%
할 288
11.1%
문 288
11.1%
청 288
11.1%
원 288
11.1%
지 288
11.1%
육 288
11.1%
교 288
11.1%
관 288
11.1%
Dash Punctuation
ValueCountFrequency (%)
- 3198
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18016
87.4%
Hangul 2592
 
12.6%

Most frequent character per script

Common
ValueCountFrequency (%)
- 3198
17.8%
0 3058
17.0%
2 2702
15.0%
8 2164
12.0%
7 1156
 
6.4%
5 1154
 
6.4%
1 1148
 
6.4%
6 991
 
5.5%
3 969
 
5.4%
9 759
 
4.2%
Hangul
ValueCountFrequency (%)
의 288
11.1%
할 288
11.1%
문 288
11.1%
청 288
11.1%
원 288
11.1%
지 288
11.1%
육 288
11.1%
교 288
11.1%
관 288
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18016
87.4%
Hangul 2592
 
12.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 3198
17.8%
0 3058
17.0%
2 2702
15.0%
8 2164
12.0%
7 1156
 
6.4%
5 1154
 
6.4%
1 1148
 
6.4%
6 991
 
5.5%
3 969
 
5.4%
9 759
 
4.2%
Hangul
ValueCountFrequency (%)
의 288
11.1%
할 288
11.1%
문 288
11.1%
청 288
11.1%
원 288
11.1%
지 288
11.1%
육 288
11.1%
교 288
11.1%
관 288
11.1%

교습과정
Text

MISSING 

Distinct62
Distinct (%)3.3%
Missing29
Missing (%)1.5%
Memory size14.9 KiB
2023-12-12T09:03:24.041556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length2
Mean length3.9634015
Min length2

Characters and Unicode

Total characters7364
Distinct characters135
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)0.9%

Sample

1st row음악
2nd row성인고시
3rd row미술
4th row음악
5th row음악
ValueCountFrequency (%)
보습 699
37.6%
음악 290
15.6%
미술 165
 
8.9%
성인고시 102
 
5.5%
독서실(일반인 96
 
5.2%
보습·논술 75
 
4.0%
원격평생교육시설 71
 
3.8%
실용외국어(유아/초·중·고 61
 
3.3%
언론기관부설 48
 
2.6%
독서실(유아/초·중·고 36
 
1.9%
Other values (52) 215
 
11.6%
2023-12-12T09:03:24.327430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
보 791
 
10.7%
습 774
 
10.5%
악 314
 
4.3%
음 305
 
4.1%
· 284
 
3.9%
) 259
 
3.5%
( 259
 
3.5%
술 252
 
3.4%
인 227
 
3.1%
실 206
 
2.8%
Other values (125) 3693
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6405
87.0%
Other Punctuation 441
 
6.0%
Close Punctuation 259
 
3.5%
Open Punctuation 259
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 791
 
12.3%
습 774
 
12.1%
악 314
 
4.9%
음 305
 
4.8%
술 252
 
3.9%
인 227
 
3.5%
실 206
 
3.2%
고 199
 
3.1%
시 190
 
3.0%
미 177
 
2.8%
Other values (119) 2970
46.4%
Other Punctuation
ValueCountFrequency (%)
· 284
64.4%
/ 97
 
22.0%
, 51
 
11.6%
. 9
 
2.0%
Close Punctuation
ValueCountFrequency (%)
) 259
100.0%
Open Punctuation
ValueCountFrequency (%)
( 259
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6405
87.0%
Common 959
 
13.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 791
 
12.3%
습 774
 
12.1%
악 314
 
4.9%
음 305
 
4.8%
술 252
 
3.9%
인 227
 
3.5%
실 206
 
3.2%
고 199
 
3.1%
시 190
 
3.0%
미 177
 
2.8%
Other values (119) 2970
46.4%
Common
ValueCountFrequency (%)
· 284
29.6%
) 259
27.0%
( 259
27.0%
/ 97
 
10.1%
, 51
 
5.3%
. 9
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6405
87.0%
ASCII 675
 
9.2%
None 284
 
3.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
보 791
 
12.3%
습 774
 
12.1%
악 314
 
4.9%
음 305
 
4.8%
술 252
 
3.9%
인 227
 
3.5%
실 206
 
3.2%
고 199
 
3.1%
시 190
 
3.0%
미 177
 
2.8%
Other values (119) 2970
46.4%
None
ValueCountFrequency (%)
· 284
100.0%
ASCII
ValueCountFrequency (%)
) 259
38.4%
( 259
38.4%
/ 97
 
14.4%
, 51
 
7.6%
. 9
 
1.3%

등록상태
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.9 KiB
개원
1872 
자진휴원(소)
 
15

Length

Max length7
Median length2
Mean length2.0397456
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개원 1872
99.2%
자진휴원(소) 15
 
0.8%

Length

2023-12-12T09:03:24.463826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:03:24.570320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개원 1872
99.2%
자진휴원(소 15
 
0.8%

Correlations

2023-12-12T09:03:24.628205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종류교습과정등록상태
종류1.0000.9340.000
교습과정0.9341.0000.111
등록상태0.0000.1111.000
2023-12-12T09:03:24.702633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종류등록상태
종류1.0000.000
등록상태0.0001.000
2023-12-12T09:03:24.778330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종류등록상태
종류1.0000.000
등록상태0.0001.000

Missing values

2023-12-12T09:03:21.371943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:03:21.510571image/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

종류학원명주소전화번호교습과정등록상태
0학원아이은음악학원서울특별시 관악구 난곡로35길 29 (신림동)02-853-4019음악개원
1학원박문각서울법학원서울특별시 관악구 관악로 132 , 3층~5층 (봉천동)02-887-9161성인고시개원
2학원남정임미술학원서울특별시 관악구 구암길 25 2층(봉천동)02-874-1580미술개원
3학원건영음악학원서울특별시 관악구 신림로3길 40 상가2층(신림동)02-887-2333음악개원
4학원이화음악학원서울특별시 관악구 관악로14길 105 2층 (봉천동)02-886-5311음악개원
5학원대림음악학원서울특별시 동작구 여의대방로 250 , 상가동,상가 5-8호 (대방동, 대림아파트)02-822-9455음악개원
6학원흑석연세보습학원서울특별시 동작구 서달로8길 14 (흑석동)02-821-0455보습개원
7학원삼보아카데미독서실서울특별시 관악구 호암로26가길 48 (신림동)02-877-6352독서실(일반인)개원
8학원성원음악학원서울특별시 동작구 여의대방로 256 , 304호일부, 305호~306호 (대방동)02-815-9306음악개원
9학원아하브음악학원서울특별시 동작구 흑석로 11 , 3층 (상도1동, 열린우리교회)02-513-5444음악개원
종류학원명주소전화번호교습과정등록상태
1877평생교육시설한국응급처치평생교육원서울특별시 동작구 상도로 8 , 5츨 일부 (대방동, 신한빌딩)02-1599-6799언론기관부설개원
1878평생교육시설한국장애인정보화협회동작구장애인평생교육원서울특별시 동작구 상도로 81 , 4층 일부 (대방동, 대방동크리닉센타)02-823-4833시민사회단체부설개원
1879평생교육시설한국지식공유협회원격평생교육시설서울특별시 동작구 상도로 8 , 5층일부 (대방동)02-2109-6900원격평생교육시설개원
1880평생교육시설한국지식공유협회평생교육원서울특별시 동작구 상도로 8 , 5층 일부 (대방동, 신한빌딩)02-1599-9662언론기관부설개원
1881평생교육시설한국체력향상협회부설평생교육시설서울특별시 관악구 남부순환로 1369 , 4층 3호 (신림동, 관악농협농산물백화점)02-886-4931시민사회단체부설개원
1882평생교육시설한미아카데미원격평생교육원서울특별시 동작구 노량진로 206 , 2층 일부 (노량진동, 백명트렌디타워)02-813-2112원격평생교육시설개원
1883평생교육시설행복한가정평생교육원서울특별시 동작구 상도로 398 , 3층 (상도동,기나빌딩)02-826-0675시민사회단체부설개원
1884평생교육시설행복한헬퍼114평생교육원서울특별시 동작구 동작대로 163 , 5층 일부 (사당동)관할교육지원청문의언론기관부설개원
1885평생교육시설현대엔지비(주) 평생교육시설서울특별시 관악구 관악로 1 서울대학교 314동 차세대자동차신기술연구센터 4,5층(신림동)02-870-8025지식.인력개발사업관련개원
1886평생교육시설홈플러스 문화센터 서울남현점서울특별시 관악구 과천대로 909 , 홈플러스, 3층 (남현동)02-6948-8003사업장부설개원