Overview

Dataset statistics

Number of variables8
Number of observations41
Missing cells16
Missing cells (%)4.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory68.2 B

Variable types

Numeric1
Categorical4
Text3

Dataset

Description경상남도 양산시의 평생직업교육 학원현황에 관한 데이터로 연번, 등록기관(교육청), 학원명, 학원종류, 분야구분 등의 항목을 제공합니다.
Author경상남도 양산시
URLhttps://www.data.go.kr/data/15105929/fileData.do

Alerts

등록기관(교육청) has constant value ""Constant
학원종류 has constant value ""Constant
분야구분 is highly overall correlated with 교습과정High correlation
교습과정 is highly overall correlated with 분야구분High correlation
전화번호 has 16 (39.0%) missing valuesMissing
연번 has unique valuesUnique
학원명 has unique valuesUnique
학원주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:51:12.590525
Analysis finished2023-12-12 15:51:13.379956
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21
Minimum1
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T00:51:13.479277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q111
median21
Q331
95-th percentile39
Maximum41
Range40
Interquartile range (IQR)20

Descriptive statistics

Standard deviation11.979149
Coefficient of variation (CV)0.57043565
Kurtosis-1.2
Mean21
Median Absolute Deviation (MAD)10
Skewness0
Sum861
Variance143.5
MonotonicityStrictly increasing
2023-12-13T00:51:13.674962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1 1
 
2.4%
32 1
 
2.4%
24 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
28 1
 
2.4%
29 1
 
2.4%
30 1
 
2.4%
31 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
41 1
2.4%
40 1
2.4%
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%
32 1
2.4%

등록기관(교육청)
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
양산교육지원청
41 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
양산교육지원청 41
100.0%

Length

2023-12-13T00:51:13.859629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:51:13.968543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
양산교육지원청 41
100.0%

학원명
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-13T00:51:14.234335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length8.4634146
Min length5

Characters and Unicode

Total characters347
Distinct characters134
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st row본메디간호학원
2nd row굿모닝간호학원
3rd row음식나라조리학원
4th rowMBC아카데미뷰티미용학원
5th row양산커피바리스타학원
ValueCountFrequency (%)
본메디간호학원 1
 
2.4%
앤유케이크디자인아트학원 1
 
2.4%
헤럴드커피교육학원 1
 
2.4%
벨라댄스학원 1
 
2.4%
예다움미용전문학원 1
 
2.4%
증산간호학원 1
 
2.4%
증산나누리교육학원 1
 
2.4%
아름다운사람들미용학원 1
 
2.4%
김소희네일뷰티학원 1
 
2.4%
양산미용학원 1
 
2.4%
Other values (31) 31
75.6%
2023-12-13T00:51:14.714026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 43
 
12.4%
학 41
 
11.8%
스 13
 
3.7%
미 10
 
2.9%
리 9
 
2.6%
산 8
 
2.3%
용 8
 
2.3%
양 7
 
2.0%
제 6
 
1.7%
츠 6
 
1.7%
Other values (124) 196
56.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 338
97.4%
Uppercase Letter 8
 
2.3%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 43
 
12.7%
학 41
 
12.1%
스 13
 
3.8%
미 10
 
3.0%
리 9
 
2.7%
산 8
 
2.4%
용 8
 
2.4%
양 7
 
2.1%
제 6
 
1.8%
츠 6
 
1.8%
Other values (116) 187
55.3%
Uppercase Letter
ValueCountFrequency (%)
E 2
25.0%
L 1
12.5%
J 1
12.5%
S 1
12.5%
C 1
12.5%
B 1
12.5%
M 1
12.5%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 338
97.4%
Latin 8
 
2.3%
Common 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 43
 
12.7%
학 41
 
12.1%
스 13
 
3.8%
미 10
 
3.0%
리 9
 
2.7%
산 8
 
2.4%
용 8
 
2.4%
양 7
 
2.1%
제 6
 
1.8%
츠 6
 
1.8%
Other values (116) 187
55.3%
Latin
ValueCountFrequency (%)
E 2
25.0%
L 1
12.5%
J 1
12.5%
S 1
12.5%
C 1
12.5%
B 1
12.5%
M 1
12.5%
Common
ValueCountFrequency (%)
& 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 338
97.4%
ASCII 9
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 43
 
12.7%
학 41
 
12.1%
스 13
 
3.8%
미 10
 
3.0%
리 9
 
2.7%
산 8
 
2.4%
용 8
 
2.4%
양 7
 
2.1%
제 6
 
1.8%
츠 6
 
1.8%
Other values (116) 187
55.3%
ASCII
ValueCountFrequency (%)
E 2
22.2%
L 1
11.1%
J 1
11.1%
& 1
11.1%
S 1
11.1%
C 1
11.1%
B 1
11.1%
M 1
11.1%

학원종류
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
평생직업교육학원
41 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
평생직업교육학원 41
100.0%

Length

2023-12-13T00:51:14.904763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:51:15.040768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평생직업교육학원 41
100.0%

분야구분
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
산업응용기술
18 
간호보조기술
7 
기예(중)
7 
경영·사무관리
2 
일반서비스
2 
Other values (4)
5 

Length

Max length7
Median length6
Mean length5.7073171
Min length2

Unique

Unique3 ?
Unique (%)7.3%

Sample

1st row간호보조기술
2nd row간호보조기술
3rd row산업응용기술
4th row산업응용기술
5th row산업응용기술

Common Values

ValueCountFrequency (%)
산업응용기술 18
43.9%
간호보조기술 7
 
17.1%
기예(중) 7
 
17.1%
경영·사무관리 2
 
4.9%
일반서비스 2
 
4.9%
산업기반기술 2
 
4.9%
국제 1
 
2.4%
인문사회(중) 1
 
2.4%
<NA> 1
 
2.4%

Length

2023-12-13T00:51:15.219129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:51:15.433884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
산업응용기술 18
43.9%
간호보조기술 7
 
17.1%
기예(중 7
 
17.1%
경영·사무관리 2
 
4.9%
일반서비스 2
 
4.9%
산업기반기술 2
 
4.9%
국제 1
 
2.4%
인문사회(중 1
 
2.4%
na 1
 
2.4%

교습과정
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)36.6%
Missing0
Missing (%)0.0%
Memory size460.0 B
식음료품(바리스타,소믈리에)
8 
간호조무사
7 
이,미용
7 
댄스
5 
디자인
3 
Other values (10)
11 

Length

Max length15
Median length6
Mean length6.0731707
Min length2

Unique

Unique9 ?
Unique (%)22.0%

Sample

1st row간호조무사
2nd row간호조무사
3rd row식음료품(바리스타,소믈리에)
4th row이,미용
5th row식음료품(바리스타,소믈리에)

Common Values

ValueCountFrequency (%)
식음료품(바리스타,소믈리에) 8
19.5%
간호조무사 7
17.1%
이,미용 7
17.1%
댄스 5
12.2%
디자인 3
 
7.3%
애견미용 2
 
4.9%
무용(전통무용,현대무용) 1
 
2.4%
부동산 1
 
2.4%
경매 1
 
2.4%
어학(성인) 1
 
2.4%
Other values (5) 5
12.2%

Length

2023-12-13T00:51:15.666159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
식음료품(바리스타,소믈리에 8
19.5%
간호조무사 7
17.1%
이,미용 7
17.1%
댄스 5
12.2%
디자인 3
 
7.3%
애견미용 2
 
4.9%
무용(전통무용,현대무용 1
 
2.4%
부동산 1
 
2.4%
경매 1
 
2.4%
어학(성인 1
 
2.4%
Other values (5) 5
12.2%

학원주소
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-13T00:51:16.082986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length43
Mean length37.585366
Min length28

Characters and Unicode

Total characters1541
Distinct characters132
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st row경상남도 양산시 양산역5길 6-2 , 3층 (중부동)
2nd row경상남도 양산시 평산로 33 , 덕계유토피아 302호, 303호 (평산동)
3rd row경상남도 양산시 양산역1길 24 , 703호 (중부동, 영동프라자)
4th row경상남도 양산시 양산역로 75 , 3층 (중부동, 아로마산부인과)
5th row경상남도 양산시 물금읍 화합3길 14-16 , 1층 일부 (물금읍)
ValueCountFrequency (%)
경상남도 41
 
11.7%
양산시 41
 
11.7%
40
 
11.4%
물금읍 28
 
8.0%
중부동 13
 
3.7%
2층 6
 
1.7%
3층 5
 
1.4%
덕계로 5
 
1.4%
양산역6길 4
 
1.1%
4층 4
 
1.1%
Other values (128) 163
46.6%
2023-12-13T00:51:16.733602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
309
 
20.1%
, 65
 
4.2%
산 65
 
4.2%
양 57
 
3.7%
) 46
 
3.0%
( 46
 
3.0%
상 45
 
2.9%
남 43
 
2.8%
시 42
 
2.7%
경 41
 
2.7%
Other values (122) 782
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 831
53.9%
Space Separator 309
 
20.1%
Decimal Number 233
 
15.1%
Other Punctuation 67
 
4.3%
Close Punctuation 46
 
3.0%
Open Punctuation 46
 
3.0%
Dash Punctuation 7
 
0.5%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 65
 
7.8%
양 57
 
6.9%
상 45
 
5.4%
남 43
 
5.2%
시 42
 
5.1%
경 41
 
4.9%
도 41
 
4.9%
호 32
 
3.9%
동 32
 
3.9%
금 29
 
3.5%
Other values (104) 404
48.6%
Decimal Number
ValueCountFrequency (%)
3 41
17.6%
0 39
16.7%
1 37
15.9%
2 31
13.3%
4 25
10.7%
6 17
7.3%
5 17
7.3%
7 12
 
5.2%
8 12
 
5.2%
9 2
 
0.9%
Other Punctuation
ValueCountFrequency (%)
, 65
97.0%
& 2
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
309
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 831
53.9%
Common 708
45.9%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 65
 
7.8%
양 57
 
6.9%
상 45
 
5.4%
남 43
 
5.2%
시 42
 
5.1%
경 41
 
4.9%
도 41
 
4.9%
호 32
 
3.9%
동 32
 
3.9%
금 29
 
3.5%
Other values (104) 404
48.6%
Common
ValueCountFrequency (%)
309
43.6%
, 65
 
9.2%
) 46
 
6.5%
( 46
 
6.5%
3 41
 
5.8%
0 39
 
5.5%
1 37
 
5.2%
2 31
 
4.4%
4 25
 
3.5%
6 17
 
2.4%
Other values (6) 52
 
7.3%
Latin
ValueCountFrequency (%)
D 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 831
53.9%
ASCII 710
46.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
309
43.5%
, 65
 
9.2%
) 46
 
6.5%
( 46
 
6.5%
3 41
 
5.8%
0 39
 
5.5%
1 37
 
5.2%
2 31
 
4.4%
4 25
 
3.5%
6 17
 
2.4%
Other values (8) 54
 
7.6%
Hangul
ValueCountFrequency (%)
산 65
 
7.8%
양 57
 
6.9%
상 45
 
5.4%
남 43
 
5.2%
시 42
 
5.1%
경 41
 
4.9%
도 41
 
4.9%
호 32
 
3.9%
동 32
 
3.9%
금 29
 
3.5%
Other values (104) 404
48.6%

전화번호
Text

MISSING 

Distinct25
Distinct (%)100.0%
Missing16
Missing (%)39.0%
Memory size460.0 B
2023-12-13T00:51:17.092513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters300
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

Unique25 ?
Unique (%)100.0%

Sample

1st row055-385-6651
2nd row055-365-5215
3rd row055-363-3100
4th row055-362-6777
5th row055-366-2470
ValueCountFrequency (%)
055-385-6651 1
 
4.0%
055-913-3913 1
 
4.0%
055-365-5215 1
 
4.0%
055-387-9700 1
 
4.0%
055-385-5088 1
 
4.0%
055-387-8371 1
 
4.0%
055-386-3660 1
 
4.0%
055-387-3999 1
 
4.0%
055-382-5999 1
 
4.0%
055-389-1883 1
 
4.0%
Other values (15) 15
60.0%
2023-12-13T00:51:17.637182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 64
21.3%
- 50
16.7%
3 41
13.7%
0 39
13.0%
8 28
9.3%
7 19
 
6.3%
6 16
 
5.3%
9 15
 
5.0%
1 12
 
4.0%
2 11
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 250
83.3%
Dash Punctuation 50
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 64
25.6%
3 41
16.4%
0 39
15.6%
8 28
11.2%
7 19
 
7.6%
6 16
 
6.4%
9 15
 
6.0%
1 12
 
4.8%
2 11
 
4.4%
4 5
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 300
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 64
21.3%
- 50
16.7%
3 41
13.7%
0 39
13.0%
8 28
9.3%
7 19
 
6.3%
6 16
 
5.3%
9 15
 
5.0%
1 12
 
4.0%
2 11
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 64
21.3%
- 50
16.7%
3 41
13.7%
0 39
13.0%
8 28
9.3%
7 19
 
6.3%
6 16
 
5.3%
9 15
 
5.0%
1 12
 
4.0%
2 11
 
3.7%

Interactions

2023-12-13T00:51:13.007071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:51:17.805672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번학원명분야구분교습과정학원주소전화번호
연번1.0001.0000.1400.5531.0001.000
학원명1.0001.0001.0001.0001.0001.000
분야구분0.1401.0001.0001.0001.0001.000
교습과정0.5531.0001.0001.0001.0001.000
학원주소1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
2023-12-13T00:51:17.977236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분야구분교습과정
분야구분1.0000.901
교습과정0.9011.000
2023-12-13T00:51:18.097214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번분야구분교습과정
연번1.0000.2150.252
분야구분0.2151.0000.901
교습과정0.2520.9011.000

Missing values

2023-12-13T00:51:13.152025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:51:13.323449image/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

연번등록기관(교육청)학원명학원종류분야구분교습과정학원주소전화번호
01양산교육지원청본메디간호학원평생직업교육학원간호보조기술간호조무사경상남도 양산시 양산역5길 6-2 , 3층 (중부동)055-385-6651
12양산교육지원청굿모닝간호학원평생직업교육학원간호보조기술간호조무사경상남도 양산시 평산로 33 , 덕계유토피아 302호, 303호 (평산동)055-365-5215
23양산교육지원청음식나라조리학원평생직업교육학원산업응용기술식음료품(바리스타,소믈리에)경상남도 양산시 양산역1길 24 , 703호 (중부동, 영동프라자)055-363-3100
34양산교육지원청MBC아카데미뷰티미용학원평생직업교육학원산업응용기술이,미용경상남도 양산시 양산역로 75 , 3층 (중부동, 아로마산부인과)055-362-6777
45양산교육지원청양산커피바리스타학원평생직업교육학원산업응용기술식음료품(바리스타,소믈리에)경상남도 양산시 물금읍 화합3길 14-16 , 1층 일부 (물금읍)055-366-2470
56양산교육지원청중부간호학원평생직업교육학원간호보조기술간호조무사경상남도 양산시 양산역로 103 , 골든세븐빌딩 701호 (중부동)055-387-1800
67양산교육지원청늘솜요리학원평생직업교육학원산업응용기술식음료품(바리스타,소믈리에)경상남도 양산시 북안북7길 35 , 2층 일부 (북부동, 양산시근로자종합복지관)055-387-8777
78양산교육지원청S&J뷰티컴퍼니학원평생직업교육학원산업응용기술디자인경상남도 양산시 신기서길 18 , 상가동 3층 302호 일부(우측실) (신기동, 대동서안한마음타운)055-381-3399
89양산교육지원청마스터요리제과제빵학원평생직업교육학원산업응용기술디자인경상남도 양산시 양산역6길 17 , 501호 (중부동, 청림타워)055-385-3838
910양산교육지원청명성요리제과제빵학원평생직업교육학원산업응용기술식음료품(바리스타,소믈리에)경상남도 양산시 물금읍 서들로 148 , 채움상가 508호 (물금읍)055-372-4061
연번등록기관(교육청)학원명학원종류분야구분교습과정학원주소전화번호
3132양산교육지원청양산유캔애견미용학원평생직업교육학원일반서비스애견미용경상남도 양산시 물금읍 황산로 505 , 4층 (물금읍)<NA>
3233양산교육지원청뮤즈미용전문학원평생직업교육학원산업응용기술이,미용경상남도 양산시 물금읍 야리2길 43 , 403호,503호 (물금읍, 골든프라자)<NA>
3334양산교육지원청리안커피아카데미학원평생직업교육학원산업응용기술식음료품(바리스타,소믈리에)경상남도 양산시 동면 금오8길 26 , 1층 (동면)<NA>
3435양산교육지원청양산건축기술학원평생직업교육학원산업기반기술건축경상남도 양산시 북안남4길 26 , 2층 (북부동)<NA>
3536양산교육지원청댄스인학원평생직업교육학원기예(중)댄스경상남도 양산시 양산역로 69 , 502호 (중부동, 뉴양산플라자)<NA>
3637양산교육지원청커넥츠프랩양산학원평생직업교육학원인문사회(중)성인고시경상남도 양산시 물금읍 증산역로 180 , 네오&스타 302호 (물금읍)<NA>
3738양산교육지원청양산간호조무사학원평생직업교육학원간호보조기술간호조무사경상남도 양산시 양산역6길 3 , 401호 (중부동, 센트럴스위트)055-387-8371
3839양산교육지원청경남중장비운전학원평생직업교육학원산업기반기술자동차경상남도 양산시 상북면 와곡1길 42-1 , 3층 (상북면, 양산중기)055-385-5088
3940양산교육지원청덕계컴퓨터학원평생직업교육학원<NA><NA>경상남도 양산시 덕계로 57 , 2층 (덕계동, DC마트)055-387-9700
4041양산교육지원청묵전서예학원평생직업교육학원기예(중)서예경상남도 양산시 하북면 양산대로 2606 (하북면, 심원서예학원)055-375-5599