Overview

Dataset statistics

Number of variables8
Number of observations3141
Missing cells0
Missing cells (%)0.0%
Duplicate rows961
Duplicate rows (%)30.6%
Total size in memory208.7 KiB
Average record size in memory68.0 B

Variable types

Categorical5
Text3

Dataset

Descriptionㅇ대학정보공시공시항목 중 [9-가-1.등록금산정근거]*의PDF파일에관한정보임 * 대학에서 등록금을 산정할 때 활용한 근거 자료(수입지출 내역, 등록금심의위원회 구성, 평균등록금 인상률 정보 등) 포함
Author한국장학재단
URLhttps://www.data.go.kr/data/15073567/fileData.do

Alerts

조사년도 has constant value ""Constant
적용년도 has constant value ""Constant
Dataset has 961 (30.6%) duplicate rowsDuplicates
본분교구분 is highly imbalanced (79.7%)Imbalance
파일차수 is highly imbalanced (99.6%)Imbalance

Reproduction

Analysis started2023-12-12 18:26:52.476110
Analysis finished2023-12-12 18:26:53.179425
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

조사년도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size24.7 KiB
2013
3141 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2013
2nd row2013
3rd row2013
4th row2013
5th row2013

Common Values

ValueCountFrequency (%)
2013 3141
100.0%

Length

2023-12-13T03:26:53.246619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:26:53.340933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2013 3141
100.0%

차수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.7 KiB
1
1813 
2
1328 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 1813
57.7%
2 1328
42.3%

Length

2023-12-13T03:26:53.451463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:26:53.561532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1813
57.7%
2 1328
42.3%
Distinct447
Distinct (%)14.2%
Missing0
Missing (%)0.0%
Memory size24.7 KiB
2023-12-13T03:26:53.807419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length7.0015918
Min length4

Characters and Unicode

Total characters21992
Distinct characters212
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울디지털대학교
2nd row영진전문대학
3rd row한국폴리텍 IV 대학 청주캠퍼스
4th row국민대학교
5th row신성대학교
ValueCountFrequency (%)
한국폴리텍 65
 
1.9%
대학 60
 
1.7%
한국폴리텍대학 37
 
1.1%
한밭대학교 22
 
0.6%
강릉원주대학교 22
 
0.6%
영산대학교 20
 
0.6%
iv 20
 
0.6%
경동대학교 18
 
0.5%
연세대학교 18
 
0.5%
서울과학기술대학교 17
 
0.5%
Other values (447) 3140
91.3%
2023-12-13T03:26:54.260612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3710
16.9%
3541
 
16.1%
2923
 
13.3%
562
 
2.6%
513
 
2.3%
513
 
2.3%
309
 
1.4%
298
 
1.4%
280
 
1.3%
277
 
1.3%
Other values (202) 9066
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21557
98.0%
Space Separator 298
 
1.4%
Uppercase Letter 132
 
0.6%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3710
17.2%
3541
16.4%
2923
 
13.6%
562
 
2.6%
513
 
2.4%
513
 
2.4%
309
 
1.4%
280
 
1.3%
277
 
1.3%
253
 
1.2%
Other values (198) 8676
40.2%
Uppercase Letter
ValueCountFrequency (%)
I 91
68.9%
V 41
31.1%
Space Separator
ValueCountFrequency (%)
298
100.0%
Decimal Number
ValueCountFrequency (%)
1 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21557
98.0%
Common 303
 
1.4%
Latin 132
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3710
17.2%
3541
16.4%
2923
 
13.6%
562
 
2.6%
513
 
2.4%
513
 
2.4%
309
 
1.4%
280
 
1.3%
277
 
1.3%
253
 
1.2%
Other values (198) 8676
40.2%
Common
ValueCountFrequency (%)
298
98.3%
1 5
 
1.7%
Latin
ValueCountFrequency (%)
I 91
68.9%
V 41
31.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21557
98.0%
ASCII 435
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
3710
17.2%
3541
16.4%
2923
 
13.6%
562
 
2.6%
513
 
2.4%
513
 
2.4%
309
 
1.4%
280
 
1.3%
277
 
1.3%
253
 
1.2%
Other values (198) 8676
40.2%
ASCII
ValueCountFrequency (%)
298
68.5%
I 91
 
20.9%
V 41
 
9.4%
1 5
 
1.1%

본분교구분
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.7 KiB
본교
2949 
제2캠퍼스
 
115
캠퍼스
 
66
제3캠퍼스
 
11

Length

Max length5
Median length2
Mean length2.1413563
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
본교 2949
93.9%
제2캠퍼스 115
 
3.7%
캠퍼스 66
 
2.1%
제3캠퍼스 11
 
0.4%

Length

2023-12-13T03:26:54.427247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:26:54.592362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
본교 2949
93.9%
제2캠퍼스 115
 
3.7%
캠퍼스 66
 
2.1%
제3캠퍼스 11
 
0.4%

파일차수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.7 KiB
1
3140 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 3140
> 99.9%
2 1
 
< 0.1%

Length

2023-12-13T03:26:54.806747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:26:54.961436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3140
> 99.9%
2 1
 
< 0.1%

제목
Text

Distinct448
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size24.7 KiB
2023-12-13T03:26:55.334426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length30
Mean length20.005412
Min length17

Characters and Unicode

Total characters62837
Distinct characters218
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2013 서울디지털대학교 등록금산정근거
2nd row2013 영진전문대학 등록금산정근거
3rd row2013 한국폴리텍 IV 대학 청주캠퍼스 등록금산정근거
4th row2013 국민대학교 등록금산정근거
5th row2013 신성대학교 등록금산정근거
ValueCountFrequency (%)
2013 3141
32.3%
등록금산정근거 3141
32.3%
한국폴리텍 65
 
0.7%
대학 60
 
0.6%
한국폴리텍대학 37
 
0.4%
강릉원주대학교 22
 
0.2%
한밭대학교 22
 
0.2%
영산대학교 20
 
0.2%
iv 20
 
0.2%
연세대학교 18
 
0.2%
Other values (450) 3175
32.7%
2023-12-13T03:26:55.929451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6580
 
10.5%
3716
 
5.9%
3541
 
5.6%
3388
 
5.4%
3195
 
5.1%
3157
 
5.0%
3152
 
5.0%
1 3146
 
5.0%
2 3141
 
5.0%
3141
 
5.0%
Other values (208) 26680
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43556
69.3%
Decimal Number 12569
 
20.0%
Space Separator 6580
 
10.5%
Uppercase Letter 132
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3716
 
8.5%
3541
 
8.1%
3388
 
7.8%
3195
 
7.3%
3157
 
7.2%
3152
 
7.2%
3141
 
7.2%
3141
 
7.2%
3141
 
7.2%
2923
 
6.7%
Other values (201) 11061
25.4%
Decimal Number
ValueCountFrequency (%)
1 3146
25.0%
2 3141
25.0%
0 3141
25.0%
3 3141
25.0%
Uppercase Letter
ValueCountFrequency (%)
I 91
68.9%
V 41
31.1%
Space Separator
ValueCountFrequency (%)
6580
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 43556
69.3%
Common 19149
30.5%
Latin 132
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3716
 
8.5%
3541
 
8.1%
3388
 
7.8%
3195
 
7.3%
3157
 
7.2%
3152
 
7.2%
3141
 
7.2%
3141
 
7.2%
3141
 
7.2%
2923
 
6.7%
Other values (201) 11061
25.4%
Common
ValueCountFrequency (%)
6580
34.4%
1 3146
16.4%
2 3141
16.4%
0 3141
16.4%
3 3141
16.4%
Latin
ValueCountFrequency (%)
I 91
68.9%
V 41
31.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 43556
69.3%
ASCII 19281
30.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6580
34.1%
1 3146
16.3%
2 3141
16.3%
0 3141
16.3%
3 3141
16.3%
I 91
 
0.5%
V 41
 
0.2%
Hangul
ValueCountFrequency (%)
3716
 
8.5%
3541
 
8.1%
3388
 
7.8%
3195
 
7.3%
3157
 
7.2%
3152
 
7.2%
3141
 
7.2%
3141
 
7.2%
3141
 
7.2%
2923
 
6.7%
Other values (201) 11061
25.4%

적용년도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size24.7 KiB
2013
3141 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2013
2nd row2013
3rd row2013
4th row2013
5th row2013

Common Values

ValueCountFrequency (%)
2013 3141
100.0%

Length

2023-12-13T03:26:56.098216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:26:56.214644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2013 3141
100.0%
Distinct823
Distinct (%)26.2%
Missing0
Missing (%)0.0%
Memory size24.7 KiB
2023-12-13T03:26:56.431442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length49
Mean length22.682585
Min length6

Characters and Unicode

Total characters71246
Distinct characters290
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique158 ?
Unique (%)5.0%

Sample

1st row2013학년도_서울디지털대학교(본교).pdf
2nd row(영진전문대학)2013학년도 등록금산출내역_1.0.pdf
3rd row2013년_한국폴리텍대학 청주캠퍼스(본교).pdf
4th row2013년도 등록금 통계조사 지침 및 시스템매뉴얼_탑재용_수정ver2.0.pdf
5th row2013 등록금산정근거.pdf
ValueCountFrequency (%)
2013년 318
 
7.0%
등록금 252
 
5.6%
tuition(2013)_ver3.0.pdf 70
 
1.6%
산정근거.pdf 64
 
1.4%
2013 62
 
1.4%
2013학년도 62
 
1.4%
2013년도 51
 
1.1%
등록금산정근거.pdf 36
 
0.8%
산정근거).pdf 35
 
0.8%
2013년_한국폴리텍대학 24
 
0.5%
Other values (914) 3541
78.4%
2023-12-13T03:26:56.888210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4414
 
6.2%
. 3567
 
5.0%
0 3446
 
4.8%
3 3413
 
4.8%
1 3259
 
4.6%
2 3251
 
4.6%
3231
 
4.5%
f 3142
 
4.4%
d 3139
 
4.4%
p 3139
 
4.4%
Other values (280) 37245
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32785
46.0%
Decimal Number 13861
19.5%
Lowercase Letter 11039
 
15.5%
Other Punctuation 3595
 
5.0%
Close Punctuation 2772
 
3.9%
Open Punctuation 2758
 
3.9%
Connector Punctuation 2622
 
3.7%
Space Separator 1387
 
1.9%
Dash Punctuation 284
 
0.4%
Uppercase Letter 125
 
0.2%
Other values (2) 18
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4414
 
13.5%
3231
 
9.9%
3086
 
9.4%
2091
 
6.4%
1945
 
5.9%
1136
 
3.5%
1032
 
3.1%
933
 
2.8%
931
 
2.8%
920
 
2.8%
Other values (229) 13066
39.9%
Lowercase Letter
ValueCountFrequency (%)
f 3142
28.5%
d 3139
28.4%
p 3139
28.4%
v 253
 
2.3%
i 239
 
2.2%
e 237
 
2.1%
r 237
 
2.1%
t 231
 
2.1%
n 118
 
1.1%
o 117
 
1.1%
Other values (6) 187
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
D 24
19.2%
P 24
19.2%
F 24
19.2%
T 17
13.6%
I 11
8.8%
V 10
8.0%
S 5
 
4.0%
U 4
 
3.2%
B 1
 
0.8%
W 1
 
0.8%
Other values (4) 4
 
3.2%
Decimal Number
ValueCountFrequency (%)
0 3446
24.9%
3 3413
24.6%
1 3259
23.5%
2 3251
23.5%
7 191
 
1.4%
8 144
 
1.0%
4 65
 
0.5%
5 50
 
0.4%
9 22
 
0.2%
6 20
 
0.1%
Other Punctuation
ValueCountFrequency (%)
. 3567
99.2%
, 28
 
0.8%
Close Punctuation
ValueCountFrequency (%)
) 2768
99.9%
] 4
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 2754
99.9%
[ 4
 
0.1%
Connector Punctuation
ValueCountFrequency (%)
_ 2622
100.0%
Space Separator
ValueCountFrequency (%)
1387
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 284
100.0%
Math Symbol
ValueCountFrequency (%)
+ 14
100.0%
Other Symbol
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32785
46.0%
Common 27297
38.3%
Latin 11164
 
15.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4414
 
13.5%
3231
 
9.9%
3086
 
9.4%
2091
 
6.4%
1945
 
5.9%
1136
 
3.5%
1032
 
3.1%
933
 
2.8%
931
 
2.8%
920
 
2.8%
Other values (229) 13066
39.9%
Latin
ValueCountFrequency (%)
f 3142
28.1%
d 3139
28.1%
p 3139
28.1%
v 253
 
2.3%
i 239
 
2.1%
e 237
 
2.1%
r 237
 
2.1%
t 231
 
2.1%
n 118
 
1.1%
o 117
 
1.0%
Other values (20) 312
 
2.8%
Common
ValueCountFrequency (%)
. 3567
13.1%
0 3446
12.6%
3 3413
12.5%
1 3259
11.9%
2 3251
11.9%
) 2768
10.1%
( 2754
10.1%
_ 2622
9.6%
1387
 
5.1%
- 284
 
1.0%
Other values (11) 546
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 38457
54.0%
Hangul 32785
46.0%
Misc Symbols 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
4414
 
13.5%
3231
 
9.9%
3086
 
9.4%
2091
 
6.4%
1945
 
5.9%
1136
 
3.5%
1032
 
3.1%
933
 
2.8%
931
 
2.8%
920
 
2.8%
Other values (229) 13066
39.9%
ASCII
ValueCountFrequency (%)
. 3567
9.3%
0 3446
9.0%
3 3413
8.9%
1 3259
8.5%
2 3251
8.5%
f 3142
8.2%
d 3139
8.2%
p 3139
8.2%
) 2768
7.2%
( 2754
7.2%
Other values (40) 6579
17.1%
Misc Symbols
ValueCountFrequency (%)
4
100.0%

Correlations

2023-12-13T03:26:56.992443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
차수본분교구분파일차수
차수1.0000.0000.000
본분교구분0.0001.0000.178
파일차수0.0000.1781.000
2023-12-13T03:26:57.113819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
차수파일차수본분교구분
차수1.0000.0000.000
파일차수0.0001.0000.118
본분교구분0.0000.1181.000
2023-12-13T03:26:57.245649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
차수본분교구분파일차수
차수1.0000.0000.000
본분교구분0.0001.0000.118
파일차수0.0000.1181.000

Missing values

2023-12-13T03:26:52.986488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:26:53.118551image/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

조사년도차수학교명본분교구분파일차수제목적용년도파일명
020131서울디지털대학교본교12013 서울디지털대학교 등록금산정근거20132013학년도_서울디지털대학교(본교).pdf
120131영진전문대학본교12013 영진전문대학 등록금산정근거2013(영진전문대학)2013학년도 등록금산출내역_1.0.pdf
220131한국폴리텍 IV 대학 청주캠퍼스본교12013 한국폴리텍 IV 대학 청주캠퍼스 등록금산정근거20132013년_한국폴리텍대학 청주캠퍼스(본교).pdf
320131국민대학교본교12013 국민대학교 등록금산정근거20132013년도 등록금 통계조사 지침 및 시스템매뉴얼_탑재용_수정ver2.0.pdf
420131신성대학교본교12013 신성대학교 등록금산정근거20132013 등록금산정근거.pdf
520131서울시립대학교본교12013 서울시립대학교 등록금산정근거20132013년_서울시립대학교(본교).pdf
620131영동대학교본교12013 영동대학교 등록금산정근거20132013년_영동대학교(본교).pdf
720131실천신학대학원대학교본교12013 실천신학대학원대학교 등록금산정근거20132013년실천신학대학원대학교(본교)_ver3.0.pdf
820131계명문화대학교본교12013 계명문화대학교 등록금산정근거20132013년_계명문화대학교.pdf
920131성덕대학교본교12013 성덕대학교 등록금산정근거20132013년 성덕대학교 본교.pdf
조사년도차수학교명본분교구분파일차수제목적용년도파일명
313120132경운대학교본교12013 경운대학교 등록금산정근거2013T_2013년-경운대학교(본교).pdf
313220132경북도립대학교본교12013 경북도립대학교 등록금산정근거20132013년_경북도립대학교(본교).pdf
313320132한국복지사이버대학본교12013 한국복지사이버대학 등록금산정근거20132013년-한국복지사이버대학.pdf
313420132고구려대학교본교12013 고구려대학교 등록금산정근거20132013년_고구려대학교(본교).pdf
313520132진주보건대학교본교12013 진주보건대학교 등록금산정근거2013진주보건대학교-1.pdf
313620132한국성서대학교본교12013 한국성서대학교 등록금산정근거20132013년_한국성서대학교(본교) 등록금 산정근거.pdf
313720132제주관광대학교본교12013 제주관광대학교 등록금산정근거20132013-제주관광대학교(본교).pdf
313820132한국폴리텍 I 대학 서울강서캠퍼스본교12013 한국폴리텍 I 대학 서울강서캠퍼스 등록금산정근거20132013년_폴리텍강서(130723)제출용-8월정보공시.pdf
313920132송호대학교본교12013 송호대학교 등록금산정근거2013붙임_4)_2013년_송호대학교_본교_등록금_산정근거(예산_등) 제출 건(수정본).pdf
314020132영산대학교본교12013 영산대학교 등록금산정근거2013등록금입력_본교최종(20130715)수정.pdf

Duplicate rows

Most frequently occurring

조사년도차수학교명본분교구분파일차수제목적용년도파일명# duplicates
4620131경운대학교본교12013 경운대학교 등록금산정근거20132013년-경운대학교(본교).pdf9
20020131서울과학기술대학교본교12013 서울과학기술대학교 등록금산정근거20132013년_서울과학기술대학교_본교.pdf9
31220131을지대학교 대전캠퍼스본교12013 을지대학교 대전캠퍼스 등록금산정근거20132013등록금산정근거(2013)_ver3.0.pdf8
39620131한국교통대학교본교12013 한국교통대학교 등록금산정근거20132013등록금 산정근거_한국교통대학교.pdf8
58520132남서울대학교본교12013 남서울대학교 등록금산정근거20132013년_남서울대학교(본교).pdf8
1220131강릉원주대학교본교12013 강릉원주대학교 등록금산정근거2013강릉원주대학교(등록금 산정근거).pdf7
2420131건양대학교제2캠퍼스12013 건양대학교 등록금산정근거2013등록금산정근거.pdf7
5720131계약신학대학원대학교본교12013 계약신학대학원대학교 등록금산정근거2013계약신학대학원대학교_등록금산정근거2013.pdf7
15720131마산대학교본교12013 마산대학교 등록금산정근거20132013_마산대학교(본교).pdf7
38720131포항공과대학교본교12013 포항공과대학교 등록금산정근거20132013년_포항공과대학교(본교) 등록금 산정근거.pdf7