Overview

Dataset statistics

Number of variables7
Number of observations267
Missing cells62
Missing cells (%)3.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.0 KiB
Average record size in memory57.5 B

Variable types

DateTime2
Numeric1
Categorical1
Text3

Dataset

Description대학도서관 교육과정에 관한 데이터로 교육일자, 교육차수, 교육시간, 교육내용, 강사 등의 정보 항목을 제공합니다.
Author한국교육학술정보원
URLhttps://www.data.go.kr/data/15071933/fileData.do

Alerts

시간 has 15 (5.6%) missing valuesMissing
강사 has 47 (17.6%) missing valuesMissing

Reproduction

Analysis started2023-12-12 11:20:23.315073
Analysis finished2023-12-12 11:20:25.645666
Duration2.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육일자
Date

Distinct19
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2017-08-03 00:00:00
Maximum2020-10-06 00:00:00
2023-12-12T20:20:25.760040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:20:25.991282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

순번
Real number (ℝ)

Distinct24
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.0973783
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-12T20:20:26.208153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median8
Q311
95-th percentile17
Maximum24
Range23
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.0365089
Coefficient of variation (CV)0.62199254
Kurtosis-0.13461971
Mean8.0973783
Median Absolute Deviation (MAD)4
Skewness0.62238744
Sum2162
Variance25.366422
MonotonicityNot monotonic
2023-12-12T20:20:26.459490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
3 19
 
7.1%
5 19
 
7.1%
6 19
 
7.1%
7 19
 
7.1%
8 19
 
7.1%
9 19
 
7.1%
10 19
 
7.1%
1 19
 
7.1%
2 19
 
7.1%
4 19
 
7.1%
Other values (14) 77
28.8%
ValueCountFrequency (%)
1 19
7.1%
2 19
7.1%
3 19
7.1%
4 19
7.1%
5 19
7.1%
6 19
7.1%
7 19
7.1%
8 19
7.1%
9 19
7.1%
10 19
7.1%
ValueCountFrequency (%)
24 1
 
0.4%
23 1
 
0.4%
22 1
 
0.4%
21 1
 
0.4%
20 2
 
0.7%
19 2
 
0.7%
18 4
1.5%
17 6
2.2%
16 7
2.6%
15 9
3.4%

교육차수
Categorical

Distinct41
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
 
15
8/20(목)
 
12
2일차 (10/18)
 
11
8/19(수)
 
10
9/22(화)
 
9
Other values (36)
210 

Length

Max length11
Median length10
Mean length9.1423221
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3일차 (10/19)
2nd row1일차 (10/17)
3rd row3일차 (10/19)
4th row1일차 (10/17)
5th row1일차 (10/17)

Common Values

ValueCountFrequency (%)
<NA> 15
 
5.6%
8/20(목) 12
 
4.5%
2일차 (10/18) 11
 
4.1%
8/19(수) 10
 
3.7%
9/22(화) 9
 
3.4%
1일차 (10/17) 9
 
3.4%
3일차 (10/19) 8
 
3.0%
3일차 (6/14) 8
 
3.0%
9/23(수) 8
 
3.0%
1일차 (6/12) 8
 
3.0%
Other values (31) 169
63.3%

Length

2023-12-12T20:20:26.734117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2일차 75
 
16.2%
1일차 68
 
14.7%
3일차 32
 
6.9%
na 15
 
3.2%
8/20(목 12
 
2.6%
10/18 11
 
2.4%
수 11
 
2.4%
8/19(수 10
 
2.2%
9/22(화 9
 
1.9%
10/17 9
 
1.9%
Other values (37) 212
45.7%

시간
Text

MISSING 

Distinct83
Distinct (%)32.9%
Missing15
Missing (%)5.6%
Memory size2.2 KiB
2023-12-12T20:20:27.198562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.952381
Min length9

Characters and Unicode

Total characters2760
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)15.1%

Sample

1st row13:30~16:30
2nd row10:00~13:00
3rd row16:30~16:40
4th row13:00~14:00
5th row14:00~16:00
ValueCountFrequency (%)
12:00~13:00 25
 
9.9%
10:00~12:00 16
 
6.3%
12:30~13:30 11
 
4.4%
13:00~15:00 11
 
4.4%
09:20~09:30 10
 
4.0%
10:00~10:30 7
 
2.8%
09:30~10:00 7
 
2.8%
13:30~16:30 7
 
2.8%
9:40~10:00 6
 
2.4%
15:00~17:00 6
 
2.4%
Other values (73) 146
57.9%
2023-12-12T20:20:27.909470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 887
32.1%
: 504
18.3%
1 466
16.9%
3 258
 
9.3%
~ 252
 
9.1%
2 95
 
3.4%
6 67
 
2.4%
5 66
 
2.4%
9 65
 
2.4%
4 47
 
1.7%
Other values (2) 53
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2004
72.6%
Other Punctuation 504
 
18.3%
Math Symbol 252
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 887
44.3%
1 466
23.3%
3 258
 
12.9%
2 95
 
4.7%
6 67
 
3.3%
5 66
 
3.3%
9 65
 
3.2%
4 47
 
2.3%
7 44
 
2.2%
8 9
 
0.4%
Other Punctuation
ValueCountFrequency (%)
: 504
100.0%
Math Symbol
ValueCountFrequency (%)
~ 252
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2760
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 887
32.1%
: 504
18.3%
1 466
16.9%
3 258
 
9.3%
~ 252
 
9.1%
2 95
 
3.4%
6 67
 
2.4%
5 66
 
2.4%
9 65
 
2.4%
4 47
 
1.7%
Other values (2) 53
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2760
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 887
32.1%
: 504
18.3%
1 466
16.9%
3 258
 
9.3%
~ 252
 
9.1%
2 95
 
3.4%
6 67
 
2.4%
5 66
 
2.4%
9 65
 
2.4%
4 47
 
1.7%
Other values (2) 53
 
1.9%

내용
Text

Distinct156
Distinct (%)58.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-12T20:20:28.521035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length51
Mean length18.161049
Min length2

Characters and Unicode

Total characters4849
Distinct characters353
Distinct categories14 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique141 ?
Unique (%)52.8%

Sample

1st row[특강] 개인정보보호 제도의 변화 · 대응 방안
2nd row[저작권 이론Ⅰ] 저작권의 기초 이해
3rd row질의응답 및 정리
4th row중식
5th row[저작권 이론Ⅱ] 연구윤리, 표절과 저작권
ValueCountFrequency (%)
및 81
 
6.6%
중식 45
 
3.7%
안내 41
 
3.3%
위한 30
 
2.5%
질의응답 25
 
2.0%
정리 23
 
1.9%
과정 21
 
1.7%
입교식 19
 
1.6%
교육과정 19
 
1.6%
저작권 18
 
1.5%
Other values (452) 902
73.7%
2023-12-12T20:20:29.448362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
940
 
19.4%
의 113
 
2.3%
과 102
 
2.1%
서 100
 
2.1%
정 84
 
1.7%
및 81
 
1.7%
이 79
 
1.6%
교 77
 
1.6%
대 68
 
1.4%
식 67
 
1.4%
Other values (343) 3138
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3432
70.8%
Space Separator 940
 
19.4%
Other Punctuation 83
 
1.7%
Open Punctuation 76
 
1.6%
Close Punctuation 75
 
1.5%
Lowercase Letter 60
 
1.2%
Uppercase Letter 46
 
0.9%
Control 44
 
0.9%
Decimal Number 42
 
0.9%
Letter Number 28
 
0.6%
Other values (4) 23
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 113
 
3.3%
과 102
 
3.0%
서 100
 
2.9%
정 84
 
2.4%
및 81
 
2.4%
이 79
 
2.3%
교 77
 
2.2%
대 68
 
2.0%
식 67
 
2.0%
도 66
 
1.9%
Other values (282) 2595
75.6%
Lowercase Letter
ValueCountFrequency (%)
e 8
13.3%
i 7
11.7%
r 6
10.0%
a 6
10.0%
c 5
 
8.3%
g 3
 
5.0%
p 3
 
5.0%
t 3
 
5.0%
n 3
 
5.0%
o 3
 
5.0%
Other values (9) 13
21.7%
Uppercase Letter
ValueCountFrequency (%)
S 13
28.3%
N 6
13.0%
B 5
 
10.9%
C 4
 
8.7%
A 4
 
8.7%
D 3
 
6.5%
I 2
 
4.3%
G 2
 
4.3%
P 2
 
4.3%
R 2
 
4.3%
Other values (3) 3
 
6.5%
Decimal Number
ValueCountFrequency (%)
2 24
57.1%
1 7
 
16.7%
3 6
 
14.3%
9 1
 
2.4%
0 1
 
2.4%
4 1
 
2.4%
5 1
 
2.4%
6 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
" 32
38.6%
, 17
20.5%
. 15
18.1%
· 14
16.9%
: 4
 
4.8%
? 1
 
1.2%
Letter Number
ValueCountFrequency (%)
Ⅰ 8
28.6%
Ⅱ 8
28.6%
Ⅲ 6
21.4%
Ⅳ 5
17.9%
Ⅴ 1
 
3.6%
Open Punctuation
ValueCountFrequency (%)
[ 45
59.2%
( 31
40.8%
Close Punctuation
ValueCountFrequency (%)
] 45
60.0%
) 30
40.0%
Space Separator
ValueCountFrequency (%)
940
100.0%
Control
ValueCountFrequency (%)
44
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 6
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 6
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3432
70.8%
Common 1283
 
26.5%
Latin 134
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 113
 
3.3%
과 102
 
3.0%
서 100
 
2.9%
정 84
 
2.4%
및 81
 
2.4%
이 79
 
2.3%
교 77
 
2.2%
대 68
 
2.0%
식 67
 
2.0%
도 66
 
1.9%
Other values (282) 2595
75.6%
Latin
ValueCountFrequency (%)
S 13
 
9.7%
Ⅰ 8
 
6.0%
e 8
 
6.0%
Ⅱ 8
 
6.0%
i 7
 
5.2%
r 6
 
4.5%
a 6
 
4.5%
N 6
 
4.5%
Ⅲ 6
 
4.5%
c 5
 
3.7%
Other values (27) 61
45.5%
Common
ValueCountFrequency (%)
940
73.3%
[ 45
 
3.5%
] 45
 
3.5%
44
 
3.4%
" 32
 
2.5%
( 31
 
2.4%
) 30
 
2.3%
2 24
 
1.9%
, 17
 
1.3%
. 15
 
1.2%
Other values (14) 60
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3432
70.8%
ASCII 1363
 
28.1%
Number Forms 28
 
0.6%
None 14
 
0.3%
Punctuation 12
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
940
69.0%
[ 45
 
3.3%
] 45
 
3.3%
44
 
3.2%
" 32
 
2.3%
( 31
 
2.3%
) 30
 
2.2%
2 24
 
1.8%
, 17
 
1.2%
. 15
 
1.1%
Other values (43) 140
 
10.3%
Hangul
ValueCountFrequency (%)
의 113
 
3.3%
과 102
 
3.0%
서 100
 
2.9%
정 84
 
2.4%
및 81
 
2.4%
이 79
 
2.3%
교 77
 
2.2%
대 68
 
2.0%
식 67
 
2.0%
도 66
 
1.9%
Other values (282) 2595
75.6%
None
ValueCountFrequency (%)
· 14
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 8
28.6%
Ⅱ 8
28.6%
Ⅲ 6
21.4%
Ⅳ 5
17.9%
Ⅴ 1
 
3.6%
Punctuation
ValueCountFrequency (%)
‘ 6
50.0%
’ 6
50.0%

강사
Text

MISSING 

Distinct95
Distinct (%)43.2%
Missing47
Missing (%)17.6%
Memory size2.2 KiB
2023-12-12T20:20:29.916738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length23
Mean length11.786364
Min length2

Characters and Unicode

Total characters2593
Distinct characters204
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)32.3%

Sample

1st rowNIA 김두현 팀장
2nd row고려대학교 이대희 교수
3rd rowKERIS
4th row고려대학교 이대희 교수
5th row(주)무하유 송복령 강사
ValueCountFrequency (%)
keris 63
 
11.4%
교수 42
 
7.6%
대표 39
 
7.1%
사서 21
 
3.8%
박사 16
 
2.9%
이주형 11
 
2.0%
트루팍프로덕션 11
 
2.0%
한국심리검사표준화연구소 10
 
1.8%
문수백 10
 
1.8%
기업홍보연구원 10
 
1.8%
Other values (153) 318
57.7%
2023-12-12T20:20:30.613010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
179
 
6.9%
162
 
6.2%
대 119
 
4.6%
교 110
 
4.2%
학 96
 
3.7%
I 67
 
2.6%
K 64
 
2.5%
R 64
 
2.5%
S 64
 
2.5%
E 63
 
2.4%
Other values (194) 1605
61.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1897
73.2%
Uppercase Letter 328
 
12.6%
Space Separator 179
 
6.9%
Control 162
 
6.2%
Lowercase Letter 12
 
0.5%
Close Punctuation 6
 
0.2%
Open Punctuation 6
 
0.2%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 119
 
6.3%
교 110
 
5.8%
학 96
 
5.1%
수 61
 
3.2%
사 59
 
3.1%
이 56
 
3.0%
원 54
 
2.8%
표 49
 
2.6%
서 48
 
2.5%
구 34
 
1.8%
Other values (172) 1211
63.8%
Uppercase Letter
ValueCountFrequency (%)
I 67
20.4%
K 64
19.5%
R 64
19.5%
S 64
19.5%
E 63
19.2%
N 3
 
0.9%
A 2
 
0.6%
T 1
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
e 3
25.0%
a 2
16.7%
r 2
16.7%
h 1
 
8.3%
c 1
 
8.3%
t 1
 
8.3%
u 1
 
8.3%
s 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
· 1
33.3%
Space Separator
ValueCountFrequency (%)
179
100.0%
Control
ValueCountFrequency (%)
162
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1897
73.2%
Common 356
 
13.7%
Latin 340
 
13.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 119
 
6.3%
교 110
 
5.8%
학 96
 
5.1%
수 61
 
3.2%
사 59
 
3.1%
이 56
 
3.0%
원 54
 
2.8%
표 49
 
2.6%
서 48
 
2.5%
구 34
 
1.8%
Other values (172) 1211
63.8%
Latin
ValueCountFrequency (%)
I 67
19.7%
K 64
18.8%
R 64
18.8%
S 64
18.8%
E 63
18.5%
e 3
 
0.9%
N 3
 
0.9%
A 2
 
0.6%
a 2
 
0.6%
r 2
 
0.6%
Other values (6) 6
 
1.8%
Common
ValueCountFrequency (%)
179
50.3%
162
45.5%
) 6
 
1.7%
( 6
 
1.7%
, 2
 
0.6%
· 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1897
73.2%
ASCII 695
 
26.8%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
179
25.8%
162
23.3%
I 67
 
9.6%
K 64
 
9.2%
R 64
 
9.2%
S 64
 
9.2%
E 63
 
9.1%
) 6
 
0.9%
( 6
 
0.9%
e 3
 
0.4%
Other values (11) 17
 
2.4%
Hangul
ValueCountFrequency (%)
대 119
 
6.3%
교 110
 
5.8%
학 96
 
5.1%
수 61
 
3.2%
사 59
 
3.1%
이 56
 
3.0%
원 54
 
2.8%
표 49
 
2.6%
서 48
 
2.5%
구 34
 
1.8%
Other values (172) 1211
63.8%
None
ValueCountFrequency (%)
· 1
100.0%

수정일자
Date

Distinct18
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2020-01-23 14:55:00
Maximum2020-10-22 09:52:00
2023-12-12T20:20:30.828908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:20:31.041999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

Interactions

2023-12-12T20:20:24.881321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:20:31.219278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
교육일자순번교육차수시간강사수정일자
교육일자1.0000.0000.9960.4220.9521.000
순번0.0001.0000.7720.6550.7980.000
교육차수0.9960.7721.0000.0000.9780.996
시간0.4220.6550.0001.0000.0000.363
강사0.9520.7980.9780.0001.0000.941
수정일자1.0000.0000.9960.3630.9411.000
2023-12-12T20:20:31.422859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번교육차수
순번1.0000.340
교육차수0.3401.000

Missing values

2023-12-12T20:20:25.101070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:20:25.329066image/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.
2023-12-12T20:20:25.530529image/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

교육일자순번교육차수시간내용강사수정일자
02018-10-1733일차 (10/19)13:30~16:30[특강] 개인정보보호 제도의 변화 · 대응 방안NIA 김두현 팀장2020-06-26 7:24
12018-10-1741일차 (10/17)10:00~13:00[저작권 이론Ⅰ] 저작권의 기초 이해고려대학교 이대희 교수2020-06-26 7:24
22018-10-1753일차 (10/19)16:30~16:40질의응답 및 정리KERIS2020-06-26 7:24
32018-10-1761일차 (10/17)13:00~14:00중식<NA>2020-06-26 7:24
42018-10-1771일차 (10/17)14:00~16:00[저작권 이론Ⅱ] 연구윤리, 표절과 저작권고려대학교 이대희 교수2020-06-26 7:24
52018-10-1781일차 (10/17)16:00~18:00[특강] 올바른 연구윤리를 위한 인용과 출처 표시 방안(주)무하유 송복령 강사2020-06-26 7:24
62018-10-1792일차 (10/18)09:20~09:302일차 과정 안내KERIS2020-06-26 7:24
72018-10-17102일차 (10/18)09:30~12:30[저작권 특화과정Ⅰ] 도서관 운영과 저작권한국저작권법학회 최경수 부회장2020-06-26 7:24
82018-10-1713일차 (10/19)12:30~13:30중식<NA>2020-06-26 7:24
92018-10-1721일차 (10/17)09:30~10:00입교식 및 교육과정 안내KERIS2020-06-26 7:24
교육일자순번교육차수시간내용강사수정일자
2572019-06-12152일차 (6/13)16:00~17:00영상 촬영 이론트루팍프로덕션 박철우 대표2020-04-21 14:20
2582019-06-12162일차 (6/13)17:00~17:30인생 타임랩스 제작법트루팍프로덕션 박철우 대표2020-04-21 14:20
2592019-06-12173일차 (6/14)08:50~09:003일차 과정 안내KERIS2020-04-21 14:20
2602019-06-12183일차 (6/14)09:00~10:30종합 영상 편집 앱 기초 이론트루팍프로덕션 유동흔 강사2020-04-21 14:20
2612019-06-12193일차 (6/14)10:30~12:00종합 영상 편집 앱 심화 이론트루팍프로덕션 유동흔 강사2020-04-21 14:20
2622019-06-12203일차 (6/14)12:00~13:00중식<NA>2020-04-21 14:20
2632019-06-12213일차 (6/14)13:00~14:00나만의 개성있는 타이틀 활용트루팍프로덕션 유동흔 강사2020-04-21 14:20
2642019-06-12223일차 (6/14)14:00~16:30종합 영상 편집 실습트루팍프로덕션 박철우 대표 유동흔 강사2020-04-21 14:20
2652019-06-12233일차 (6/14)16:30~17:00상영 및 피드백트루팍프로덕션 박철우 대표 유동흔 강사2020-04-21 14:20
2662019-06-12243일차 (6/14)17:00~17:10질의응답 및 정리KERIS2020-04-21 14:20