Overview

Dataset statistics

Number of variables11
Number of observations59
Missing cells296
Missing cells (%)45.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory93.2 B

Variable types

Categorical2
Text3
Numeric1
Boolean3
DateTime2

Dataset

Description중장기개방계획에따른 경상남도 경남도립거창대학 데이터자료입니다.(프로그램레벨, 프로그램명, 순서, 정렬순서, 알림기간 등의 데이터를 포함하고있습니다.)
URLhttps://www.data.go.kr/data/15066715/fileData.do

Alerts

사용여부 has constant value ""Constant
그룹디폴트 has constant value ""Constant
내메뉴디폴트 has constant value ""Constant
프로그램레벨 is highly overall correlated with 순서High correlation
순서 is highly overall correlated with 프로그램레벨High correlation
설명 has 53 (89.8%) missing valuesMissing
사용여부 has 10 (16.9%) missing valuesMissing
그룹디폴트 has 47 (79.7%) missing valuesMissing
내메뉴디폴트 has 45 (76.3%) missing valuesMissing
알림기간_시작 has 47 (79.7%) missing valuesMissing
알림기간_끝 has 47 (79.7%) missing valuesMissing
알림창 has 47 (79.7%) missing valuesMissing
정렬순서 has 4 (6.8%) zerosZeros

Reproduction

Analysis started2023-12-12 20:58:15.841483
Analysis finished2023-12-12 20:58:16.749673
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

프로그램레벨
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size604.0 B
3
35 
4
12 
2
8 
1
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row3
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
3 35
59.3%
4 12
 
20.3%
2 8
 
13.6%
1 4
 
6.8%

Length

2023-12-13T05:58:16.811316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:58:16.911004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 35
59.3%
4 12
 
20.3%
2 8
 
13.6%
1 4
 
6.8%

프로그램명
Text

Distinct58
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-12-13T05:58:17.115278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length6.6101695
Min length2

Characters and Unicode

Total characters390
Distinct characters100
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)96.6%

Sample

1st row학생서비스
2nd row학적 관리
3rd rowHome
4th row학생
5th row교직원
ValueCountFrequency (%)
관리 16
 
14.3%
조회 6
 
5.4%
기숙사 5
 
4.5%
강의평가 4
 
3.6%
고지서 3
 
2.7%
신청 3
 
2.7%
그룹 2
 
1.8%
게시판 2
 
1.8%
입력 2
 
1.8%
카드 2
 
1.8%
Other values (57) 67
59.8%
2023-12-13T05:58:17.500406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
53
 
13.6%
관 20
 
5.1%
리 20
 
5.1%
강 12
 
3.1%
사 10
 
2.6%
의 9
 
2.3%
학 9
 
2.3%
청 8
 
2.1%
로 8
 
2.1%
신 8
 
2.1%
Other values (90) 233
59.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 322
82.6%
Space Separator 53
 
13.6%
Uppercase Letter 4
 
1.0%
Close Punctuation 3
 
0.8%
Open Punctuation 3
 
0.8%
Lowercase Letter 3
 
0.8%
Other Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 20
 
6.2%
리 20
 
6.2%
강 12
 
3.7%
사 10
 
3.1%
의 9
 
2.8%
학 9
 
2.8%
청 8
 
2.5%
로 8
 
2.5%
신 8
 
2.5%
기 8
 
2.5%
Other values (81) 210
65.2%
Lowercase Letter
ValueCountFrequency (%)
e 1
33.3%
m 1
33.3%
o 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
X 3
75.0%
H 1
 
25.0%
Space Separator
ValueCountFrequency (%)
53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 322
82.6%
Common 61
 
15.6%
Latin 7
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 20
 
6.2%
리 20
 
6.2%
강 12
 
3.7%
사 10
 
3.1%
의 9
 
2.8%
학 9
 
2.8%
청 8
 
2.5%
로 8
 
2.5%
신 8
 
2.5%
기 8
 
2.5%
Other values (81) 210
65.2%
Latin
ValueCountFrequency (%)
X 3
42.9%
e 1
 
14.3%
m 1
 
14.3%
o 1
 
14.3%
H 1
 
14.3%
Common
ValueCountFrequency (%)
53
86.9%
) 3
 
4.9%
( 3
 
4.9%
/ 2
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 322
82.6%
ASCII 68
 
17.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
53
77.9%
) 3
 
4.4%
X 3
 
4.4%
( 3
 
4.4%
/ 2
 
2.9%
e 1
 
1.5%
m 1
 
1.5%
o 1
 
1.5%
H 1
 
1.5%
Hangul
ValueCountFrequency (%)
관 20
 
6.2%
리 20
 
6.2%
강 12
 
3.7%
사 10
 
3.1%
의 9
 
2.8%
학 9
 
2.8%
청 8
 
2.5%
로 8
 
2.5%
신 8
 
2.5%
기 8
 
2.5%
Other values (81) 210
65.2%

순서
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
1
48 
2
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row1
4th row2
5th row2

Common Values

ValueCountFrequency (%)
1 48
81.4%
2 11
 
18.6%

Length

2023-12-13T05:58:17.654351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:58:17.804222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 48
81.4%
2 11
 
18.6%

정렬순서
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)44.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.423729
Minimum0
Maximum120
Zeros4
Zeros (%)6.8%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-13T05:58:17.917966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median30
Q360
95-th percentile110
Maximum120
Range120
Interquartile range (IQR)50

Descriptive statistics

Standard deviation35.165227
Coefficient of variation (CV)0.9151956
Kurtosis-0.24370789
Mean38.423729
Median Absolute Deviation (MAD)26
Skewness0.85640354
Sum2267
Variance1236.5932
MonotonicityNot monotonic
2023-12-13T05:58:18.110861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
40 5
 
8.5%
20 5
 
8.5%
30 5
 
8.5%
10 4
 
6.8%
0 4
 
6.8%
1 4
 
6.8%
60 4
 
6.8%
2 3
 
5.1%
50 3
 
5.1%
100 2
 
3.4%
Other values (16) 20
33.9%
ValueCountFrequency (%)
0 4
6.8%
1 4
6.8%
2 3
5.1%
3 2
 
3.4%
4 1
 
1.7%
10 4
6.8%
11 1
 
1.7%
20 5
8.5%
21 1
 
1.7%
25 1
 
1.7%
ValueCountFrequency (%)
120 2
3.4%
110 2
3.4%
100 2
3.4%
99 1
 
1.7%
90 2
3.4%
81 1
 
1.7%
71 1
 
1.7%
61 1
 
1.7%
60 4
6.8%
51 1
 
1.7%

설명
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing53
Missing (%)89.8%
Memory size604.0 B
2023-12-13T05:58:18.347974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length79.5
Mean length78.666667
Min length75

Characters and Unicode

Total characters472
Distinct characters34
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)100.0%

Sample

1st rowhttp://haksa.gc.ac.kr:8101/gp/gp_tonggye.jsp?id=system&nyeondo=2014&haggi=1
2nd rowhttp://haksa.gc.ac.kr:8101/gp/gp_tong_gs_list.jsp?id=system&nyeondo=2014&haggi=1
3rd rowhttp://haksa.gc.ac.kr:8101/gp/gp_gangjwa_save.jsp?id=system&nyeondo=2014&haggi=1
4th rowhttp://haksa.gc.ac.kr:8101/gp/gp_jageob_edit.jsp?id=system&nyeondo=2014&haggi=1
5th rowhttp://haksa.gc.ac.kr:8101/gp/gp_group_save.jsp?id=system&nyeondo=2014&haggi=1
ValueCountFrequency (%)
http://haksa.gc.ac.kr:8101/gp/gp_tonggye.jsp?id=system&nyeondo=2014&haggi=1 1
16.7%
http://haksa.gc.ac.kr:8101/gp/gp_tong_gs_list.jsp?id=system&nyeondo=2014&haggi=1 1
16.7%
http://haksa.gc.ac.kr:8101/gp/gp_gangjwa_save.jsp?id=system&nyeondo=2014&haggi=1 1
16.7%
http://haksa.gc.ac.kr:8101/gp/gp_jageob_edit.jsp?id=system&nyeondo=2014&haggi=1 1
16.7%
http://haksa.gc.ac.kr:8101/gp/gp_group_save.jsp?id=system&nyeondo=2014&haggi=1 1
16.7%
http://haksa.gc.ac.kr:8101/gp/gp_munhang_save.jsp?id=system&nyeondo=2014&haggi=1 1
16.7%
2023-12-13T05:58:18.743497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
g 39
 
8.3%
a 31
 
6.6%
s 29
 
6.1%
p 25
 
5.3%
1 24
 
5.1%
/ 24
 
5.1%
. 24
 
5.1%
t 22
 
4.7%
h 19
 
4.0%
= 18
 
3.8%
Other values (24) 217
46.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 310
65.7%
Other Punctuation 78
 
16.5%
Decimal Number 54
 
11.4%
Math Symbol 18
 
3.8%
Connector Punctuation 12
 
2.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
g 39
12.6%
a 31
 
10.0%
s 29
 
9.4%
p 25
 
8.1%
t 22
 
7.1%
h 19
 
6.1%
e 18
 
5.8%
n 17
 
5.5%
o 16
 
5.2%
i 14
 
4.5%
Other values (12) 80
25.8%
Decimal Number
ValueCountFrequency (%)
1 24
44.4%
0 12
22.2%
2 6
 
11.1%
4 6
 
11.1%
8 6
 
11.1%
Other Punctuation
ValueCountFrequency (%)
/ 24
30.8%
. 24
30.8%
: 12
15.4%
& 12
15.4%
? 6
 
7.7%
Math Symbol
ValueCountFrequency (%)
= 18
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 310
65.7%
Common 162
34.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
g 39
12.6%
a 31
 
10.0%
s 29
 
9.4%
p 25
 
8.1%
t 22
 
7.1%
h 19
 
6.1%
e 18
 
5.8%
n 17
 
5.5%
o 16
 
5.2%
i 14
 
4.5%
Other values (12) 80
25.8%
Common
ValueCountFrequency (%)
1 24
14.8%
/ 24
14.8%
. 24
14.8%
= 18
11.1%
0 12
7.4%
_ 12
7.4%
: 12
7.4%
& 12
7.4%
2 6
 
3.7%
4 6
 
3.7%
Other values (2) 12
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 472
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
g 39
 
8.3%
a 31
 
6.6%
s 29
 
6.1%
p 25
 
5.3%
1 24
 
5.1%
/ 24
 
5.1%
. 24
 
5.1%
t 22
 
4.7%
h 19
 
4.0%
= 18
 
3.8%
Other values (24) 217
46.0%

사용여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)2.0%
Missing10
Missing (%)16.9%
Memory size250.0 B
True
49 
(Missing)
10 
ValueCountFrequency (%)
True 49
83.1%
(Missing) 10
 
16.9%
2023-12-13T05:58:18.855906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

그룹디폴트
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)8.3%
Missing47
Missing (%)79.7%
Memory size250.0 B
False
12 
(Missing)
47 
ValueCountFrequency (%)
False 12
 
20.3%
(Missing) 47
79.7%
2023-12-13T05:58:18.957467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

내메뉴디폴트
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)7.1%
Missing45
Missing (%)76.3%
Memory size250.0 B
False
14 
(Missing)
45 
ValueCountFrequency (%)
False 14
 
23.7%
(Missing) 45
76.3%
2023-12-13T05:58:19.036122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

알림기간_시작
Date

MISSING 

Distinct8
Distinct (%)66.7%
Missing47
Missing (%)79.7%
Memory size604.0 B
Minimum2015-06-29 00:00:00
Maximum2020-09-22 00:00:00
2023-12-13T05:58:19.126146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:58:19.242004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

알림기간_끝
Date

MISSING 

Distinct8
Distinct (%)66.7%
Missing47
Missing (%)79.7%
Memory size604.0 B
Minimum2015-07-01 00:00:00
Maximum2020-12-31 00:00:00
2023-12-13T05:58:19.354235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:58:19.505038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

알림창
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing47
Missing (%)79.7%
Memory size604.0 B
2023-12-13T05:58:19.705806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length105
Median length46.5
Mean length56.166667
Min length10

Characters and Unicode

Total characters674
Distinct characters96
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)100.0%

Sample

1st row2학기 수강신청 및 정정기간 8월24일 ~ 9월6일까지 가능
2nd row성적열람 및 이의신청 기간 2020. 7. 22. ~ 7. 31.
3rd row2020년 2학기 2차 추가 등록금 납부기간 9월 23일 ~ 9월 25일 까지 납부하시기 바랍니다. 고지서 출력은 9월 22일부터 가능
4th row2018년도 1학기 기숙사 신청 안내
5th row2020학년도 1학기 강의평가 실시 평가기간 : 6월 22일 ~ 6월 26일까지 평가대상 : 전 재학생
ValueCountFrequency (%)
→ 24
 
14.3%
21
 
12.5%
학과승인 8
 
4.8%
기간중 4
 
2.4%
온 4
 
2.4%
라 4
 
2.4%
인 4
 
2.4%
본인신청 4
 
2.4%
1학기 4
 
2.4%
교무부승인 4
 
2.4%
Other values (55) 87
51.8%
2023-12-13T05:58:20.037545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
157
23.3%
2 34
 
5.0%
인 24
 
3.6%
학 24
 
3.6%
→ 24
 
3.6%
0 17
 
2.5%
기 17
 
2.5%
월 15
 
2.2%
일 15
 
2.2%
신 12
 
1.8%
Other values (86) 335
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 366
54.3%
Space Separator 157
23.3%
Decimal Number 93
 
13.8%
Math Symbol 32
 
4.7%
Other Punctuation 18
 
2.7%
Dash Punctuation 8
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 24
 
6.6%
학 24
 
6.6%
기 17
 
4.6%
월 15
 
4.1%
일 15
 
4.1%
신 12
 
3.3%
청 12
 
3.3%
무 12
 
3.3%
승 12
 
3.3%
과 12
 
3.3%
Other values (69) 211
57.7%
Decimal Number
ValueCountFrequency (%)
2 34
36.6%
0 17
18.3%
1 10
 
10.8%
9 8
 
8.6%
7 6
 
6.5%
5 5
 
5.4%
4 5
 
5.4%
6 4
 
4.3%
3 2
 
2.2%
8 2
 
2.2%
Other Punctuation
ValueCountFrequency (%)
: 10
55.6%
. 7
38.9%
? 1
 
5.6%
Math Symbol
ValueCountFrequency (%)
→ 24
75.0%
~ 8
 
25.0%
Space Separator
ValueCountFrequency (%)
157
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 366
54.3%
Common 308
45.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 24
 
6.6%
학 24
 
6.6%
기 17
 
4.6%
월 15
 
4.1%
일 15
 
4.1%
신 12
 
3.3%
청 12
 
3.3%
무 12
 
3.3%
승 12
 
3.3%
과 12
 
3.3%
Other values (69) 211
57.7%
Common
ValueCountFrequency (%)
157
51.0%
2 34
 
11.0%
→ 24
 
7.8%
0 17
 
5.5%
1 10
 
3.2%
: 10
 
3.2%
9 8
 
2.6%
~ 8
 
2.6%
- 8
 
2.6%
. 7
 
2.3%
Other values (7) 25
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 366
54.3%
ASCII 284
42.1%
Arrows 24
 
3.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
157
55.3%
2 34
 
12.0%
0 17
 
6.0%
1 10
 
3.5%
: 10
 
3.5%
9 8
 
2.8%
~ 8
 
2.8%
- 8
 
2.8%
. 7
 
2.5%
7 6
 
2.1%
Other values (6) 19
 
6.7%
Hangul
ValueCountFrequency (%)
인 24
 
6.6%
학 24
 
6.6%
기 17
 
4.6%
월 15
 
4.1%
일 15
 
4.1%
신 12
 
3.3%
청 12
 
3.3%
무 12
 
3.3%
승 12
 
3.3%
과 12
 
3.3%
Other values (69) 211
57.7%
Arrows
ValueCountFrequency (%)
→ 24
100.0%

Interactions

2023-12-13T05:58:16.202496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:58:20.163127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
프로그램레벨프로그램명순서정렬순서설명알림기간_시작알림기간_끝알림창
프로그램레벨1.0000.8910.9020.287NaN1.0000.6941.000
프로그램명0.8911.0001.0001.0001.0001.0001.0001.000
순서0.9021.0001.0000.000NaN1.0001.0001.000
정렬순서0.2871.0000.0001.0001.0000.8910.9021.000
설명NaN1.000NaN1.0001.000NaNNaNNaN
알림기간_시작1.0001.0001.0000.891NaN1.0000.9871.000
알림기간_끝0.6941.0001.0000.902NaN0.9871.0001.000
알림창1.0001.0001.0001.000NaN1.0001.0001.000
2023-12-13T05:58:20.301680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
프로그램레벨순서
프로그램레벨1.0000.703
순서0.7031.000
2023-12-13T05:58:20.405034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정렬순서프로그램레벨순서
정렬순서1.0000.1570.000
프로그램레벨0.1571.0000.703
순서0.0000.7031.000

Missing values

2023-12-13T05:58:16.335576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:58:16.509799image/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.
2023-12-13T05:58:16.654697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

프로그램레벨프로그램명순서정렬순서설명사용여부그룹디폴트내메뉴디폴트알림기간_시작알림기간_끝알림창
02학생서비스210<NA>Y<NA><NA><NA><NA><NA>
13학적 관리1100<NA>Y<NA><NA><NA><NA><NA>
21Home10<NA>YNN<NA><NA><NA>
31학생21<NA><NA>NN<NA><NA><NA>
41교직원22<NA>YNN<NA><NA><NA>
51시스템23<NA>YNN<NA><NA><NA>
63수강 신청120<NA>Y<NA><NA>2020-08-242020-09-062학기 수강신청 및 정정기간 8월24일 ~ 9월6일까지 가능
73시간표 조회130<NA>Y<NA><NA><NA><NA><NA>
83성적 조회150<NA>Y<NA><NA>2020-07-222020-12-31성적열람 및 이의신청 기간 2020. 7. 22. ~ 7. 31.
93등록금 및 기숙사 고지서160<NA>Y<NA><NA>2020-09-222020-09-252020년 2학기 2차 추가 등록금 납부기간 9월 23일 ~ 9월 25일 까지 납부하시기 바랍니다. 고지서 출력은 9월 22일부터 가능
프로그램레벨프로그램명순서정렬순서설명사용여부그룹디폴트내메뉴디폴트알림기간_시작알림기간_끝알림창
493강의내용 입력140<NA>Y<NA><NA><NA><NA><NA>
502게시판 관리240<NA>Y<NA><NA><NA><NA><NA>
513공지 게시판10<NA>Y<NA><NA><NA><NA><NA>
523휴복학서비스20<NA>Y<NA><NA>2015-06-292015-07-01시스템 개발중입니다.
534휴학신청/취소11<NA>Y<NA><NA>2020-07-142020-09-252020년7월14일~9월25일 기간중 신청가능 - 온 라 인 : 본인신청 → 학과승인 → 교무부승인 → 처리완료 - 오프라인 :학과사무실 내방 → 휴복학원작성 → 학과승인 → 교무부제출
544휴학신청 조회12<NA>Y<NA><NA>2020-07-142020-09-252020년7월14일~9월25일 기간중 신청가능능 - 온 라 인 : 본인신청 → 학과승인 → 교무부승인 → 처리완료 - 오프라인 : 학과사무실 내방 → 휴복학원작성 → 학과승인 → 교무부제출
554복학신청/취소13<NA>Y<NA><NA>2020-07-142020-09-252020년7월14일~9월25일 기간중 신청가능 - 온 라 인 : 본인신청 → 학과승인 → 교무부승인 → 처리완료 - 오프라인 : 학과사무실 내방 → 휴복학원작성 → 학과승인 → 교무부제출
564복학신청 조회14<NA>Y<NA><NA>2020-07-142020-09-252020년7월14일~9월25일 기간중 신청가능 - 온 라 인 : 본인신청 → 학과승인 → 교무부승인 → 처리완료 - 오프라인 : 학과사무실 내방 → 휴?복학원작성 → 학과승인 → 교무부제출
572패스워드 변경199<NA>Y<NA><NA><NA><NA><NA>
583직무능력성취도11<NA>Y<NA><NA><NA><NA><NA>