Overview

Dataset statistics

Number of variables19
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows52
Duplicate rows (%)0.5%
Total size in memory1.6 MiB
Average record size in memory170.0 B

Variable types

Categorical10
Text2
Numeric7

Dataset

Descriptionㅇ 정보공시 8-차-1.등록금 현황 중 대학원 관련 데이터임 - 대학원의 학기별, 학위별 등록금 현황 관련 데이터임 - 단위: 명, 천 원
Author한국장학재단
URLhttps://www.data.go.kr/data/15073978/fileData.do

Alerts

조사년도 has constant value ""Constant
차수 has constant value ""Constant
적용년도 has constant value ""Constant
Dataset has 52 (0.5%) duplicate rowsDuplicates
입학금액 is highly overall correlated with 입학정원수 and 1 other fieldsHigh correlation
수업료 is highly overall correlated with 기성회비 and 3 other fieldsHigh correlation
기성회비 is highly overall correlated with 수업료 and 2 other fieldsHigh correlation
입학정원수 is highly overall correlated with 입학금액 and 4 other fieldsHigh correlation
전학년도등록금액 is highly overall correlated with 수업료 and 3 other fieldsHigh correlation
전년도입학정원수 is highly overall correlated with 입학금액 and 3 other fieldsHigh correlation
집계번호별일련번호 is highly overall correlated with 최초등록일자High correlation
최초등록일자 is highly overall correlated with 집계번호별일련번호High correlation
본분교구분 is highly imbalanced (89.1%)Imbalance
단과대학 is highly imbalanced (99.5%)Imbalance
학과특성 is highly imbalanced (93.5%)Imbalance
최초등록일자 is highly imbalanced (58.0%)Imbalance
입학정원수 is highly skewed (γ1 = 23.82420155)Skewed
전년도입학정원수 is highly skewed (γ1 = 27.38602185)Skewed
입학금액 has 9440 (94.4%) zerosZeros
수업료 has 7924 (79.2%) zerosZeros
기성회비 has 8265 (82.7%) zerosZeros
입학정원수 has 8898 (89.0%) zerosZeros
전학년도등록금액 has 8350 (83.5%) zerosZeros
전년도입학정원수 has 9039 (90.4%) zerosZeros

Reproduction

Analysis started2023-12-12 20:04:57.816072
Analysis finished2023-12-12 20:05:07.652582
Duration9.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

조사년도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2013
10000 

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 10000
100.0%

Length

2023-12-13T05:05:07.729654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:05:07.821923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2013 10000
100.0%

차수
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
10000 

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 10000
100.0%

Length

2023-12-13T05:05:07.918410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:05:08.015721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 10000
100.0%

학교명
Text

Distinct254
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T05:05:08.249006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length10.3817
Min length8

Characters and Unicode

Total characters103817
Distinct characters158
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)0.2%

Sample

1st row경상대학교 융합과학기술대학원
2nd row서울대학교 국제대학원
3rd row충남대학교대학원
4th row안동대학교대학원
5th row전북대학교 대학원
ValueCountFrequency (%)
대학원 1442
 
9.9%
일반대학원 759
 
5.2%
전북대학교 682
 
4.7%
서울대학교 682
 
4.7%
부산대학교 622
 
4.3%
산업대학원 540
 
3.7%
교육대학원 446
 
3.1%
전남대학교대학원 411
 
2.8%
창원대학교 342
 
2.4%
충남대학교대학원 328
 
2.3%
Other values (205) 8261
56.9%
2023-12-13T05:05:08.634479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 20739
20.0%
대 20000
19.3%
교 11688
11.3%
원 10570
 
10.2%
4515
 
4.3%
국 2048
 
2.0%
산 2007
 
1.9%
전 1650
 
1.6%
육 1356
 
1.3%
경 1347
 
1.3%
Other values (148) 27897
26.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 99166
95.5%
Space Separator 4515
 
4.3%
Uppercase Letter 115
 
0.1%
Other Punctuation 21
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 20739
20.9%
대 20000
20.2%
교 11688
11.8%
원 10570
 
10.7%
국 2048
 
2.1%
산 2007
 
2.0%
전 1650
 
1.7%
육 1356
 
1.4%
경 1347
 
1.4%
울 1198
 
1.2%
Other values (142) 26563
26.8%
Uppercase Letter
ValueCountFrequency (%)
I 53
46.1%
T 44
38.3%
N 9
 
7.8%
D 9
 
7.8%
Space Separator
ValueCountFrequency (%)
4515
100.0%
Other Punctuation
ValueCountFrequency (%)
· 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 99166
95.5%
Common 4536
 
4.4%
Latin 115
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 20739
20.9%
대 20000
20.2%
교 11688
11.8%
원 10570
 
10.7%
국 2048
 
2.1%
산 2007
 
2.0%
전 1650
 
1.7%
육 1356
 
1.4%
경 1347
 
1.4%
울 1198
 
1.2%
Other values (142) 26563
26.8%
Latin
ValueCountFrequency (%)
I 53
46.1%
T 44
38.3%
N 9
 
7.8%
D 9
 
7.8%
Common
ValueCountFrequency (%)
4515
99.5%
· 21
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 99163
95.5%
ASCII 4630
 
4.5%
None 21
 
< 0.1%
Compat Jamo 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 20739
20.9%
대 20000
20.2%
교 11688
11.8%
원 10570
 
10.7%
국 2048
 
2.1%
산 2007
 
2.0%
전 1650
 
1.7%
육 1356
 
1.4%
경 1347
 
1.4%
울 1198
 
1.2%
Other values (141) 26560
26.8%
ASCII
ValueCountFrequency (%)
4515
97.5%
I 53
 
1.1%
T 44
 
1.0%
N 9
 
0.2%
D 9
 
0.2%
None
ValueCountFrequency (%)
· 21
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 3
100.0%

본분교구분
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
본교
9712 
제2캠퍼스
 
184
캠퍼스
 
98
제3캠퍼스
 
6

Length

Max length5
Median length2
Mean length2.0668
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
본교 9712
97.1%
제2캠퍼스 184
 
1.8%
캠퍼스 98
 
1.0%
제3캠퍼스 6
 
0.1%

Length

2023-12-13T05:05:08.789782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:05:08.920876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
본교 9712
97.1%
제2캠퍼스 184
 
1.8%
캠퍼스 98
 
1.0%
제3캠퍼스 6
 
0.1%

학과명
Text

Distinct1868
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T05:05:09.231228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length23
Mean length6.811
Min length3

Characters and Unicode

Total characters68110
Distinct characters381
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique324 ?
Unique (%)3.2%

Sample

1st row응용생물학전공
2nd row국제협력전공
3rd row건축학과
4th row동양철학과
5th row경제학과
ValueCountFrequency (%)
경영학과 136
 
1.3%
기계공학과 99
 
1.0%
행정학과 91
 
0.9%
법학과 90
 
0.9%
건축공학과 83
 
0.8%
환경공학과 78
 
0.8%
컴퓨터공학과 75
 
0.7%
토목공학과 71
 
0.7%
경제학과 68
 
0.7%
영어교육전공 67
 
0.7%
Other values (1868) 9391
91.6%
2023-12-13T05:05:09.865456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 8237
 
12.1%
과 7359
 
10.8%
공 6360
 
9.3%
전 4061
 
6.0%
육 1904
 
2.8%
교 1884
 
2.8%
정 1736
 
2.5%
경 1100
 
1.6%
자 1005
 
1.5%
동 899
 
1.3%
Other values (371) 33565
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66419
97.5%
Uppercase Letter 337
 
0.5%
Close Punctuation 336
 
0.5%
Open Punctuation 336
 
0.5%
Other Punctuation 280
 
0.4%
Space Separator 255
 
0.4%
Lowercase Letter 116
 
0.2%
Dash Punctuation 31
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 8237
 
12.4%
과 7359
 
11.1%
공 6360
 
9.6%
전 4061
 
6.1%
육 1904
 
2.9%
교 1884
 
2.8%
정 1736
 
2.6%
경 1100
 
1.7%
자 1005
 
1.5%
동 899
 
1.4%
Other values (328) 31874
48.0%
Uppercase Letter
ValueCountFrequency (%)
T 55
16.3%
I 46
13.6%
B 40
11.9%
A 36
10.7%
M 31
9.2%
E 20
 
5.9%
P 18
 
5.3%
C 14
 
4.2%
O 11
 
3.3%
D 9
 
2.7%
Other values (10) 57
16.9%
Lowercase Letter
ValueCountFrequency (%)
e 31
26.7%
s 27
23.3%
i 13
11.2%
n 9
 
7.8%
u 9
 
7.8%
t 6
 
5.2%
r 4
 
3.4%
a 4
 
3.4%
w 4
 
3.4%
v 2
 
1.7%
Other values (4) 7
 
6.0%
Other Punctuation
ValueCountFrequency (%)
· 193
68.9%
. 76
 
27.1%
& 6
 
2.1%
/ 3
 
1.1%
, 2
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 336
100.0%
Open Punctuation
ValueCountFrequency (%)
( 336
100.0%
Space Separator
ValueCountFrequency (%)
255
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66419
97.5%
Common 1238
 
1.8%
Latin 453
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 8237
 
12.4%
과 7359
 
11.1%
공 6360
 
9.6%
전 4061
 
6.1%
육 1904
 
2.9%
교 1884
 
2.8%
정 1736
 
2.6%
경 1100
 
1.7%
자 1005
 
1.5%
동 899
 
1.4%
Other values (328) 31874
48.0%
Latin
ValueCountFrequency (%)
T 55
12.1%
I 46
 
10.2%
B 40
 
8.8%
A 36
 
7.9%
M 31
 
6.8%
e 31
 
6.8%
s 27
 
6.0%
E 20
 
4.4%
P 18
 
4.0%
C 14
 
3.1%
Other values (24) 135
29.8%
Common
ValueCountFrequency (%)
) 336
27.1%
( 336
27.1%
255
20.6%
· 193
15.6%
. 76
 
6.1%
- 31
 
2.5%
& 6
 
0.5%
/ 3
 
0.2%
, 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66357
97.4%
ASCII 1498
 
2.2%
None 193
 
0.3%
Compat Jamo 62
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 8237
 
12.4%
과 7359
 
11.1%
공 6360
 
9.6%
전 4061
 
6.1%
육 1904
 
2.9%
교 1884
 
2.8%
정 1736
 
2.6%
경 1100
 
1.7%
자 1005
 
1.5%
동 899
 
1.4%
Other values (327) 31812
47.9%
ASCII
ValueCountFrequency (%)
) 336
22.4%
( 336
22.4%
255
17.0%
. 76
 
5.1%
T 55
 
3.7%
I 46
 
3.1%
B 40
 
2.7%
A 36
 
2.4%
M 31
 
2.1%
e 31
 
2.1%
Other values (32) 256
17.1%
None
ValueCountFrequency (%)
· 193
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 62
100.0%

단과대학
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
단과대구분없음
9992 
도시과학대학
 
4
약학대학
 
3
공과대학
 
1

Length

Max length7
Median length7
Mean length6.9984
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
단과대구분없음 9992
99.9%
도시과학대학 4
 
< 0.1%
약학대학 3
 
< 0.1%
공과대학 1
 
< 0.1%

Length

2023-12-13T05:05:10.056460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:05:10.178136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단과대구분없음 9992
99.9%
도시과학대학 4
 
< 0.1%
약학대학 3
 
< 0.1%
공과대학 1
 
< 0.1%

석박사과정
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
석사
3415 
석박사통합
3327 
박사
3258 

Length

Max length5
Median length2
Mean length2.9981
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row박사
2nd row석박사통합
3rd row박사
4th row석사
5th row석박사통합

Common Values

ValueCountFrequency (%)
석사 3415
34.2%
석박사통합 3327
33.3%
박사 3258
32.6%

Length

2023-12-13T05:05:10.310128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:05:10.449572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
석사 3415
34.2%
석박사통합 3327
33.3%
박사 3258
32.6%

대학원학기구분
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
4학기
1711 
6학기
1675 
3학기
1670 
1학기
1664 
5학기
1648 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5학기
2nd row6학기
3rd row6학기
4th row4학기
5th row3학기

Common Values

ValueCountFrequency (%)
4학기 1711
17.1%
6학기 1675
16.8%
3학기 1670
16.7%
1학기 1664
16.6%
5학기 1648
16.5%
2학기 1632
16.3%

Length

2023-12-13T05:05:10.587480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:05:10.696646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4학기 1711
17.1%
6학기 1675
16.8%
3학기 1670
16.7%
1학기 1664
16.6%
5학기 1648
16.5%
2학기 1632
16.3%

적용년도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2013
10000 

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 10000
100.0%

Length

2023-12-13T05:05:10.826228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:05:10.933603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2013 10000
100.0%

주야간계절구분
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
주간
6063 
야간
3456 
계절
 
481

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row야간
2nd row주간
3rd row주간
4th row주간
5th row주간

Common Values

ValueCountFrequency (%)
주간 6063
60.6%
야간 3456
34.6%
계절 481
 
4.8%

Length

2023-12-13T05:05:11.036102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:05:11.170303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주간 6063
60.6%
야간 3456
34.6%
계절 481
 
4.8%

학과특성
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반과정
9830 
계약학과
 
161
특별과정
 
5
학석사통합과정
 
4

Length

Max length7
Median length4
Mean length4.0012
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반과정 9830
98.3%
계약학과 161
 
1.6%
특별과정 5
 
0.1%
학석사통합과정 4
 
< 0.1%

Length

2023-12-13T05:05:11.312153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:05:11.455421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반과정 9830
98.3%
계약학과 161
 
1.6%
특별과정 5
 
< 0.1%
학석사통합과정 4
 
< 0.1%

입학금액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct27
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.4465
Minimum0
Maximum1262
Zeros9440
Zeros (%)94.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:05:11.843438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile169
Maximum1262
Range1262
Interquartile range (IQR)0

Descriptive statistics

Standard deviation84.553575
Coefficient of variation (CV)5.8528761
Kurtosis96.196244
Mean14.4465
Median Absolute Deviation (MAD)0
Skewness9.126577
Sum144465
Variance7149.3071
MonotonicityNot monotonic
2023-12-13T05:05:11.960409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 9440
94.4%
181 112
 
1.1%
178 89
 
0.9%
183 72
 
0.7%
169 45
 
0.4%
179 35
 
0.4%
180 29
 
0.3%
1015 29
 
0.3%
175 23
 
0.2%
22 17
 
0.2%
Other values (17) 109
 
1.1%
ValueCountFrequency (%)
0 9440
94.4%
1 9
 
0.1%
22 17
 
0.2%
23 13
 
0.1%
25 1
 
< 0.1%
45 14
 
0.1%
168 1
 
< 0.1%
169 45
 
0.4%
171 2
 
< 0.1%
175 23
 
0.2%
ValueCountFrequency (%)
1262 1
 
< 0.1%
1015 29
0.3%
966 5
 
0.1%
955 9
 
0.1%
899 1
 
< 0.1%
875 8
 
0.1%
653 1
 
< 0.1%
600 7
 
0.1%
588 16
0.2%
197 5
 
0.1%

수업료
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct153
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean231.3877
Minimum0
Maximum7728
Zeros7924
Zeros (%)79.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:05:12.086957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile445
Maximum7728
Range7728
Interquartile range (IQR)0

Descriptive statistics

Standard deviation870.74927
Coefficient of variation (CV)3.7631615
Kurtosis26.424436
Mean231.3877
Median Absolute Deviation (MAD)0
Skewness5.0742092
Sum2313877
Variance758204.3
MonotonicityNot monotonic
2023-12-13T05:05:12.227606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7924
79.2%
407 99
 
1.0%
409 87
 
0.9%
436 86
 
0.9%
435 85
 
0.9%
418 80
 
0.8%
401 73
 
0.7%
437 67
 
0.7%
399 61
 
0.6%
408 56
 
0.6%
Other values (143) 1382
 
13.8%
ValueCountFrequency (%)
0 7924
79.2%
1 14
 
0.1%
96 37
 
0.4%
108 22
 
0.2%
112 9
 
0.1%
119 35
 
0.4%
120 9
 
0.1%
137 2
 
< 0.1%
150 37
 
0.4%
259 6
 
0.1%
ValueCountFrequency (%)
7728 2
 
< 0.1%
7360 1
 
< 0.1%
7179 4
 
< 0.1%
7032 3
 
< 0.1%
6900 2
 
< 0.1%
6890 3
 
< 0.1%
6828 4
 
< 0.1%
6733 1
 
< 0.1%
6210 2
 
< 0.1%
6115 23
0.2%

기성회비
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct188
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean349.3828
Minimum0
Maximum5885
Zeros8265
Zeros (%)82.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:05:12.364057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2183.15
Maximum5885
Range5885
Interquartile range (IQR)0

Descriptive statistics

Standard deviation797.6836
Coefficient of variation (CV)2.2831221
Kurtosis4.2338484
Mean349.3828
Median Absolute Deviation (MAD)0
Skewness2.1819359
Sum3493828
Variance636299.13
MonotonicityNot monotonic
2023-12-13T05:05:12.516274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8265
82.7%
2372 64
 
0.6%
1581 62
 
0.6%
1683 53
 
0.5%
2183 51
 
0.5%
1523 51
 
0.5%
2264 50
 
0.5%
1630 40
 
0.4%
1956 36
 
0.4%
1526 33
 
0.3%
Other values (178) 1295
 
13.0%
ValueCountFrequency (%)
0 8265
82.7%
409 2
 
< 0.1%
1095 2
 
< 0.1%
1096 5
 
0.1%
1130 7
 
0.1%
1227 9
 
0.1%
1229 2
 
< 0.1%
1233 8
 
0.1%
1353 16
 
0.2%
1358 4
 
< 0.1%
ValueCountFrequency (%)
5885 2
< 0.1%
5862 1
 
< 0.1%
5765 2
< 0.1%
5000 3
< 0.1%
4757 1
 
< 0.1%
4554 1
 
< 0.1%
4523 1
 
< 0.1%
4500 2
< 0.1%
4475 2
< 0.1%
4426 1
 
< 0.1%

입학정원수
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct62
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9596
Minimum0
Maximum335
Zeros8898
Zeros (%)89.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:05:12.651097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum335
Range335
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.0968586
Coefficient of variation (CV)6.3535417
Kurtosis1010.1475
Mean0.9596
Median Absolute Deviation (MAD)0
Skewness23.824202
Sum9596
Variance37.171685
MonotonicityNot monotonic
2023-12-13T05:05:12.803772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8898
89.0%
1 183
 
1.8%
3 135
 
1.4%
2 134
 
1.3%
4 104
 
1.0%
5 87
 
0.9%
7 63
 
0.6%
8 51
 
0.5%
6 45
 
0.4%
10 38
 
0.4%
Other values (52) 262
 
2.6%
ValueCountFrequency (%)
0 8898
89.0%
1 183
 
1.8%
2 134
 
1.3%
3 135
 
1.4%
4 104
 
1.0%
5 87
 
0.9%
6 45
 
0.4%
7 63
 
0.6%
8 51
 
0.5%
9 35
 
0.4%
ValueCountFrequency (%)
335 1
< 0.1%
150 1
< 0.1%
117 1
< 0.1%
101 1
< 0.1%
100 2
< 0.1%
98 1
< 0.1%
93 1
< 0.1%
87 1
< 0.1%
81 1
< 0.1%
80 2
< 0.1%

전학년도등록금액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct226
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean437.9164
Minimum0
Maximum7360
Zeros8350
Zeros (%)83.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:05:12.940667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2660
Maximum7360
Range7360
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1066.9662
Coefficient of variation (CV)2.4364609
Kurtosis6.800913
Mean437.9164
Median Absolute Deviation (MAD)0
Skewness2.5893652
Sum4379164
Variance1138416.8
MonotonicityNot monotonic
2023-12-13T05:05:13.066259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8350
83.5%
2605 48
 
0.5%
2030 48
 
0.5%
2808 38
 
0.4%
1795 36
 
0.4%
2592 36
 
0.4%
1982 34
 
0.3%
4369 32
 
0.3%
2919 32
 
0.3%
3156 29
 
0.3%
Other values (216) 1317
 
13.2%
ValueCountFrequency (%)
0 8350
83.5%
1140 1
 
< 0.1%
1356 21
 
0.2%
1393 8
 
0.1%
1414 8
 
0.1%
1495 8
 
0.1%
1671 19
 
0.2%
1684 1
 
< 0.1%
1699 2
 
< 0.1%
1708 3
 
< 0.1%
ValueCountFrequency (%)
7360 1
 
< 0.1%
7032 3
 
< 0.1%
6900 2
 
< 0.1%
6750 1
 
< 0.1%
6232 2
 
< 0.1%
6210 1
 
< 0.1%
6115 22
0.2%
6113 1
 
< 0.1%
6055 1
 
< 0.1%
5843 1
 
< 0.1%

전년도입학정원수
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct58
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8266
Minimum0
Maximum333
Zeros9039
Zeros (%)90.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:05:13.226263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum333
Range333
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.6740772
Coefficient of variation (CV)6.8643566
Kurtosis1291.9861
Mean0.8266
Median Absolute Deviation (MAD)0
Skewness27.386022
Sum8266
Variance32.195152
MonotonicityNot monotonic
2023-12-13T05:05:13.379016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9039
90.4%
2 137
 
1.4%
1 121
 
1.2%
3 116
 
1.2%
4 99
 
1.0%
5 72
 
0.7%
6 66
 
0.7%
7 51
 
0.5%
8 46
 
0.5%
10 34
 
0.3%
Other values (48) 219
 
2.2%
ValueCountFrequency (%)
0 9039
90.4%
1 121
 
1.2%
2 137
 
1.4%
3 116
 
1.2%
4 99
 
1.0%
5 72
 
0.7%
6 66
 
0.7%
7 51
 
0.5%
8 46
 
0.5%
9 27
 
0.3%
ValueCountFrequency (%)
333 1
< 0.1%
150 1
< 0.1%
101 1
< 0.1%
100 1
< 0.1%
98 2
< 0.1%
88 1
< 0.1%
84 1
< 0.1%
83 1
< 0.1%
80 1
< 0.1%
75 1
< 0.1%

최초등록일자
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2013-03-27
9148 
2013-03-21
 
852

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2013-03-27
2nd row2013-03-27
3rd row2013-03-27
4th row2013-03-27
5th row2013-03-27

Common Values

ValueCountFrequency (%)
2013-03-27 9148
91.5%
2013-03-21 852
 
8.5%

Length

2023-12-13T05:05:13.511820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:05:13.625280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2013-03-27 9148
91.5%
2013-03-21 852
 
8.5%

집계번호별일련번호
Real number (ℝ)

HIGH CORRELATION 

Distinct9948
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48241.121
Minimum1
Maximum89529
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:05:13.782752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1945.6
Q129171.75
median49402.5
Q369278.75
95-th percentile85333.65
Maximum89529
Range89528
Interquartile range (IQR)40107

Descriptive statistics

Standard deviation24828.223
Coefficient of variation (CV)0.51466927
Kurtosis-0.91739912
Mean48241.121
Median Absolute Deviation (MAD)20036.5
Skewness-0.21530477
Sum4.8241121 × 108
Variance6.1644064 × 108
MonotonicityNot monotonic
2023-12-13T05:05:13.947546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2089 2
 
< 0.1%
2675 2
 
< 0.1%
2604 2
 
< 0.1%
2910 2
 
< 0.1%
1938 2
 
< 0.1%
2405 2
 
< 0.1%
163 2
 
< 0.1%
1688 2
 
< 0.1%
1522 2
 
< 0.1%
2915 2
 
< 0.1%
Other values (9938) 9980
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
12 1
< 0.1%
13 2
< 0.1%
14 1
< 0.1%
17 1
< 0.1%
31 1
< 0.1%
37 1
< 0.1%
38 1
< 0.1%
42 1
< 0.1%
ValueCountFrequency (%)
89529 1
< 0.1%
89518 1
< 0.1%
89512 1
< 0.1%
89494 1
< 0.1%
89493 1
< 0.1%
89492 1
< 0.1%
89489 1
< 0.1%
89482 1
< 0.1%
89474 1
< 0.1%
89465 1
< 0.1%

Interactions

2023-12-13T05:05:06.462963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:00.256811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:01.060849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:01.927345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:03.154516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:04.294100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:05.516083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:06.560119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:00.355883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:01.156588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:02.395889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:03.323958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:04.483454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:05.631483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:06.651790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:00.541825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:01.268805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:02.534650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:03.499566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:04.698908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:05.783262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:06.740253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:00.634274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:01.383905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:02.641648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:03.662256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:04.932634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:05.927164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:06.854800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:00.767725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:01.538914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:02.771150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:03.782793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:05.100937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:06.066113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:06.973392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:00.876088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:01.683125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:02.893425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:03.932695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:05.235791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:06.220098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:07.074535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:00.974382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:01.809519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:03.030024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:04.102602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:05.380522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:05:06.363352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:05:14.057967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
본분교구분단과대학석박사과정대학원학기구분주야간계절구분학과특성입학금액수업료기성회비입학정원수전학년도등록금액전년도입학정원수최초등록일자집계번호별일련번호
본분교구분1.0000.0000.0120.0000.0550.0000.1920.2190.0450.0000.0800.0000.0750.383
단과대학0.0001.0000.0000.0000.0000.2210.0000.3100.0000.0000.4010.0000.0000.059
석박사과정0.0120.0001.0000.0320.0000.0000.1590.1650.3240.1140.4030.1040.0000.000
대학원학기구분0.0000.0000.0321.0000.0000.0000.3910.0760.2080.0810.2020.0830.0060.000
주야간계절구분0.0550.0000.0000.0001.0000.0290.0880.1340.1220.0000.2380.0000.0670.394
학과특성0.0000.2210.0000.0000.0291.0000.0000.0710.2620.0000.0000.0000.0250.123
입학금액0.1920.0000.1590.3910.0880.0001.0000.4750.3200.1390.4420.1450.0870.200
수업료0.2190.3100.1650.0760.1340.0710.4751.0000.0250.3220.8900.2810.0710.425
기성회비0.0450.0000.3240.2080.1220.2620.3200.0251.0000.2430.8270.3170.1780.375
입학정원수0.0000.0000.1140.0810.0000.0000.1390.3220.2431.0000.3760.9870.0000.047
전학년도등록금액0.0800.4010.4030.2020.2380.0000.4420.8900.8270.3761.0000.3880.1730.430
전년도입학정원수0.0000.0000.1040.0830.0000.0000.1450.2810.3170.9870.3881.0000.0000.029
최초등록일자0.0750.0000.0000.0060.0670.0250.0870.0710.1780.0000.1730.0001.0001.000
집계번호별일련번호0.3830.0590.0000.0000.3940.1230.2000.4250.3750.0470.4300.0291.0001.000
2023-12-13T05:05:14.216555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학과특성석박사과정최초등록일자대학원학기구분단과대학주야간계절구분본분교구분
학과특성1.0000.0000.0160.0000.0890.0270.000
석박사과정0.0001.0000.0000.0130.0000.0000.012
최초등록일자0.0160.0001.0000.0040.0000.1120.050
대학원학기구분0.0000.0130.0041.0000.0000.0000.000
단과대학0.0890.0000.0000.0001.0000.0000.000
주야간계절구분0.0270.0000.1120.0000.0001.0000.052
본분교구분0.0000.0120.0500.0000.0000.0521.000
2023-12-13T05:05:14.365768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
입학금액수업료기성회비입학정원수전학년도등록금액전년도입학정원수집계번호별일련번호본분교구분단과대학석박사과정대학원학기구분주야간계절구분학과특성최초등록일자
입학금액1.0000.4750.3920.5940.3680.5100.0150.0870.0000.1010.2300.0550.0000.065
수업료0.4751.0000.8010.6520.7120.5400.1000.1320.1900.0990.0400.0800.0430.054
기성회비0.3920.8011.0000.5680.6150.479-0.0100.0270.0000.2050.1110.0730.1590.136
입학정원수0.5940.6520.5681.0000.5930.8290.0430.0000.0000.0470.0290.0000.0000.000
전학년도등록금액0.3680.7120.6150.5931.0000.7270.0940.0480.2500.2640.1070.1460.0000.132
전년도입학정원수0.5100.5400.4790.8290.7271.0000.0320.0000.0000.0430.0300.0000.0000.000
집계번호별일련번호0.0150.100-0.0100.0430.0940.0321.0000.2380.0350.0000.0000.2580.0741.000
본분교구분0.0870.1320.0270.0000.0480.0000.2381.0000.0000.0120.0000.0520.0000.050
단과대학0.0000.1900.0000.0000.2500.0000.0350.0001.0000.0000.0000.0000.0890.000
석박사과정0.1010.0990.2050.0470.2640.0430.0000.0120.0001.0000.0130.0000.0000.000
대학원학기구분0.2300.0400.1110.0290.1070.0300.0000.0000.0000.0131.0000.0000.0000.004
주야간계절구분0.0550.0800.0730.0000.1460.0000.2580.0520.0000.0000.0001.0000.0270.112
학과특성0.0000.0430.1590.0000.0000.0000.0740.0000.0890.0000.0000.0271.0000.016
최초등록일자0.0650.0540.1360.0000.1320.0001.0000.0500.0000.0000.0040.1120.0161.000

Missing values

2023-12-13T05:05:07.227944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:05:07.489330image/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

조사년도차수학교명본분교구분학과명단과대학석박사과정대학원학기구분적용년도주야간계절구분학과특성입학금액수업료기성회비입학정원수전학년도등록금액전년도입학정원수최초등록일자집계번호별일련번호
6775320131경상대학교 융합과학기술대학원본교응용생물학전공단과대구분없음박사5학기2013야간일반과정0000002013-03-2716925
2680520131서울대학교 국제대학원본교국제협력전공단과대구분없음석박사통합6학기2013주간일반과정0000002013-03-2739942
4138920131충남대학교대학원본교건축학과단과대구분없음박사6학기2013주간일반과정0000002013-03-2760918
6398320131안동대학교대학원본교동양철학과단과대구분없음석사4학기2013주간일반과정0000002013-03-2742850
5710120131전북대학교 대학원본교경제학과단과대구분없음석박사통합3학기2013주간일반과정0000002013-03-2749065
3625120131국민대학교테크노디자인전문대학원본교도자전공단과대구분없음석사2학기2013주간일반과정0000002013-03-212816
2669320131서울대학교 대학원본교바이오시스템·소재학부단과대구분없음석사6학기2013주간일반과정0000002013-03-2738244
7061720131공주대학교대학원본교일반사회교육과단과대구분없음박사5학기2013주간일반과정0000002013-03-2718041
4411120131창원대학교 그린에너지대학원본교풍력해양수력에너지전공단과대구분없음석박사통합3학기2013야간일반과정0000002013-03-2760171
4893820131충남대학교산업대학원본교바이오응용화학과단과대구분없음석사4학기2013야간일반과정034924780282702013-03-2763262
조사년도차수학교명본분교구분학과명단과대학석박사과정대학원학기구분적용년도주야간계절구분학과특성입학금액수업료기성회비입학정원수전학년도등록금액전년도입학정원수최초등록일자집계번호별일련번호
5074820131충남대학교특허법무대학원본교특허법무학과단과대구분없음석사4학기2013야간일반과정031916340195302013-03-2763334
588820131인천대학교교육대학원본교전기교육전공단과대구분없음석사6학기2013야간일반과정0000291902013-03-2779952
2271620131서울대학교 대학원본교공연예술학전공협동과정단과대구분없음석박사통합3학기2013주간일반과정0000002013-03-2739633
525420131건국대학교일반대학원본교전자ㆍ정보통신공학(학연산)협동과정단과대구분없음석사3학기2013주간일반과정0000002013-03-2784557
6406720131안동대학교교육대학원본교체육교육전공단과대구분없음석사1학기2013야간일반과정169309153914002013-03-2743819
6580520131순천대학교일반대학원본교만화애니메이션학과단과대구분없음박사2학기2013주간일반과정0000002013-03-2742050
2443820131부산대학교 산업대학원본교원예생명과학전공단과대구분없음석사1학기2013야간일반과정181350216910245422013-03-2734819
6600920131공주대학교대학원본교원예학과단과대구분없음박사6학기2013주간일반과정0000002013-03-2718744
5945020131전남대학교대학원본교무역학과단과대구분없음박사4학기2013주간일반과정040716830203002013-03-2744500
956020131가톨릭대학교대학원본교경영학과단과대구분없음박사4학기2013주간일반과정0417600417602013-03-2781114

Duplicate rows

Most frequently occurring

조사년도차수학교명본분교구분학과명단과대학석박사과정대학원학기구분적용년도주야간계절구분학과특성입학금액수업료기성회비입학정원수전학년도등록금액전년도입학정원수최초등록일자집계번호별일련번호# duplicates
020131국민대학교경영대학원본교리더십과코칭전공단과대구분없음석사5학기2013야간일반과정0000002013-03-219832
120131국민대학교공학대학원본교신소재공학과단과대구분없음석박사통합5학기2013야간일반과정0000002013-03-2129152
220131국민대학교공학대학원본교신소재공학과단과대구분없음석사1학기2013야간일반과정0000002013-03-2129052
320131국민대학교공학대학원본교신소재공학과단과대구분없음석사6학기2013야간일반과정0000002013-03-2129102
420131국민대학교공학대학원본교전자정보통신공학과단과대구분없음박사4학기2013야간일반과정0000002013-03-2129382
520131국민대학교공학대학원본교전자정보통신공학과단과대구분없음석박사통합3학기2013야간일반과정0000002013-03-2129492
620131국민대학교교육대학원본교교육행정전공단과대구분없음석사6학기2013야간일반과정0000002013-03-2110742
720131국민대학교교육대학원본교국어교육전공단과대구분없음석사1학기2013계절일반과정0000002013-03-2111302
820131국민대학교교육대학원본교영어교육전공단과대구분없음석사2학기2013야간일반과정0000002013-03-2111672
920131국민대학교교육대학원본교영어교육전공단과대구분없음석사5학기2013야간일반과정0000002013-03-2111732