Overview

Dataset statistics

Number of variables10
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory859.4 KiB
Average record size in memory88.0 B

Variable types

Categorical5
Text4
DateTime1

Dataset

Description국내.외 대학 및 기관에서 자발적으로 공개한 강의 동영상, 강의자료를 무료로 제공하는 서비스로, 대학생, 교수자는 물론 배움을 필요로 하는 누구든지 언제 어디서나 이용 가능합니다. 전공별 강의정보를 제공하고 있습니다.
Author한국교육학술정보원
URLhttps://www.data.go.kr/data/15123651/fileData.do

Alerts

대분류 is highly overall correlated with 중분류High correlation
중분류 is highly overall correlated with 대분류High correlation
학습자원언어 is highly imbalanced (79.6%)Imbalance
바로가기 URL has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:48:05.034697
Analysis finished2023-12-12 00:48:07.053416
Duration2.02 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

중분류
Categorical

HIGH CORRELATION 

Distinct37
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경영ㆍ경제
1408 
언어ㆍ문학
1086 
인문과학기타
901 
사회과학기타
891 
컴퓨터ㆍ통신
832 
Other values (32)
4882 

Length

Max length11
Median length8
Mean length5.3038
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row언어ㆍ문학
2nd row경영ㆍ경제
3rd row컴퓨터ㆍ통신
4th row산업
5th row간호

Common Values

ValueCountFrequency (%)
경영ㆍ경제 1408
14.1%
언어ㆍ문학 1086
10.9%
인문과학기타 901
 
9.0%
사회과학기타 891
 
8.9%
컴퓨터ㆍ통신 832
 
8.3%
교육일반 647
 
6.5%
생물ㆍ화학ㆍ환경 572
 
5.7%
수학ㆍ물리ㆍ천문ㆍ지리 558
 
5.6%
전기ㆍ전자 353
 
3.5%
기계ㆍ금속 252
 
2.5%
Other values (27) 2500
25.0%

Length

2023-12-12T09:48:07.153059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경영ㆍ경제 1408
14.1%
언어ㆍ문학 1086
10.9%
인문과학기타 901
 
9.0%
사회과학기타 891
 
8.9%
컴퓨터ㆍ통신 832
 
8.3%
교육일반 647
 
6.5%
생물ㆍ화학ㆍ환경 572
 
5.7%
수학ㆍ물리ㆍ천문ㆍ지리 558
 
5.6%
전기ㆍ전자 353
 
3.5%
기계ㆍ금속 252
 
2.5%
Other values (27) 2500
25.0%

대분류
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
사회과학
2520 
공학
2035 
인문과학
1988 
자연과학
1377 
교육학
918 
Other values (2)
1162 

Length

Max length5
Median length4
Mean length3.498
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row인문과학
2nd row사회과학
3rd row공학
4th row공학
5th row의약학

Common Values

ValueCountFrequency (%)
사회과학 2520
25.2%
공학 2035
20.3%
인문과학 1988
19.9%
자연과학 1377
13.8%
교육학 918
 
9.2%
의약학 597
 
6.0%
예술ㆍ체육 565
 
5.7%

Length

2023-12-12T09:48:07.319898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:48:07.478236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사회과학 2520
25.2%
공학 2035
20.3%
인문과학 1988
19.9%
자연과학 1377
13.8%
교육학 918
 
9.2%
의약학 597
 
6.0%
예술ㆍ체육 565
 
5.7%

강의명
Text

Distinct7737
Distinct (%)77.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T09:48:07.874259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length99
Median length82
Mean length9.178
Min length2

Characters and Unicode

Total characters91780
Distinct characters857
Distinct categories14 ?
Distinct scripts5 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6683 ?
Unique (%)66.8%

Sample

1st row셰익스피어 작품의 현대적 의미
2nd row재무회계기초
3rd row영상콘텐츠 제작의 이론과 실제
4th row4차 산업혁명(협동로봇 운용, 빅데이터 분석)
5th row건강사정
ValueCountFrequency (%)
및 542
 
2.7%
이해 334
 
1.7%
실습 118
 
0.6%
위한 116
 
0.6%
프로그래밍 100
 
0.5%
1 93
 
0.5%
기초 89
 
0.4%
2 87
 
0.4%
개론 68
 
0.3%
i 66
 
0.3%
Other values (9527) 18188
91.9%
2023-12-12T09:48:08.524155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9801
 
10.7%
학 3108
 
3.4%
론 1557
 
1.7%
이 1386
 
1.5%
의 1351
 
1.5%
기 1291
 
1.4%
리 1250
 
1.4%
사 1222
 
1.3%
어 1019
 
1.1%
과 942
 
1.0%
Other values (847) 68853
75.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70274
76.6%
Space Separator 9804
 
10.7%
Lowercase Letter 6008
 
6.5%
Uppercase Letter 2516
 
2.7%
Decimal Number 1599
 
1.7%
Open Punctuation 455
 
0.5%
Close Punctuation 455
 
0.5%
Other Punctuation 390
 
0.4%
Dash Punctuation 125
 
0.1%
Letter Number 110
 
0.1%
Other values (4) 44
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 3108
 
4.4%
론 1557
 
2.2%
이 1386
 
2.0%
의 1351
 
1.9%
기 1291
 
1.8%
리 1250
 
1.8%
사 1222
 
1.7%
어 1019
 
1.5%
과 942
 
1.3%
영 912
 
1.3%
Other values (749) 56236
80.0%
Lowercase Letter
ValueCountFrequency (%)
e 638
10.6%
n 625
10.4%
i 622
10.4%
o 473
 
7.9%
a 469
 
7.8%
t 439
 
7.3%
r 438
 
7.3%
s 327
 
5.4%
c 292
 
4.9%
l 276
 
4.6%
Other values (16) 1409
23.5%
Uppercase Letter
ValueCountFrequency (%)
I 568
22.6%
C 206
 
8.2%
A 185
 
7.4%
E 184
 
7.3%
S 175
 
7.0%
T 141
 
5.6%
P 126
 
5.0%
D 92
 
3.7%
N 90
 
3.6%
M 86
 
3.4%
Other values (16) 663
26.4%
Other Punctuation
ValueCountFrequency (%)
, 174
44.6%
: 70
17.9%
? 41
 
10.5%
. 36
 
9.2%
/ 20
 
5.1%
& 16
 
4.1%
! 10
 
2.6%
· 9
 
2.3%
# 8
 
2.1%
' 4
 
1.0%
Other values (2) 2
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 630
39.4%
2 625
39.1%
0 129
 
8.1%
3 73
 
4.6%
4 68
 
4.3%
5 22
 
1.4%
6 19
 
1.2%
7 13
 
0.8%
9 11
 
0.7%
8 9
 
0.6%
Letter Number
ValueCountFrequency (%)
Ⅰ 53
48.2%
Ⅱ 51
46.4%
Ⅳ 3
 
2.7%
Ⅶ 1
 
0.9%
Ⅲ 1
 
0.9%
Ⅴ 1
 
0.9%
Open Punctuation
ValueCountFrequency (%)
( 431
94.7%
[ 23
 
5.1%
{ 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 431
94.7%
] 23
 
5.1%
} 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
+ 19
90.5%
< 1
 
4.8%
> 1
 
4.8%
Space Separator
ValueCountFrequency (%)
9801
> 99.9%
　 3
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 124
99.2%
― 1
 
0.8%
Initial Punctuation
ValueCountFrequency (%)
“ 5
71.4%
‘ 2
 
28.6%
Final Punctuation
ValueCountFrequency (%)
” 4
57.1%
’ 3
42.9%
Connector Punctuation
ValueCountFrequency (%)
_ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70214
76.5%
Common 12872
 
14.0%
Latin 8634
 
9.4%
Han 47
 
0.1%
Katakana 13
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 3108
 
4.4%
론 1557
 
2.2%
이 1386
 
2.0%
의 1351
 
1.9%
기 1291
 
1.8%
리 1250
 
1.8%
사 1222
 
1.7%
어 1019
 
1.5%
과 942
 
1.3%
영 912
 
1.3%
Other values (704) 56176
80.0%
Latin
ValueCountFrequency (%)
e 638
 
7.4%
n 625
 
7.2%
i 622
 
7.2%
I 568
 
6.6%
o 473
 
5.5%
a 469
 
5.4%
t 439
 
5.1%
r 438
 
5.1%
s 327
 
3.8%
c 292
 
3.4%
Other values (48) 3743
43.4%
Common
ValueCountFrequency (%)
9801
76.1%
1 630
 
4.9%
2 625
 
4.9%
( 431
 
3.3%
) 431
 
3.3%
, 174
 
1.4%
0 129
 
1.0%
- 124
 
1.0%
3 73
 
0.6%
: 70
 
0.5%
Other values (30) 384
 
3.0%
Han
ValueCountFrequency (%)
本 4
 
8.5%
日 4
 
8.5%
語 3
 
6.4%
不 2
 
4.3%
如 2
 
4.3%
一 2
 
4.3%
學 2
 
4.3%
見 2
 
4.3%
解 2
 
4.3%
習 2
 
4.3%
Other values (22) 22
46.8%
Katakana
ValueCountFrequency (%)
ン 1
 
7.7%
コ 1
 
7.7%
ミ 1
 
7.7%
ュ 1
 
7.7%
ニ 1
 
7.7%
ケ 1
 
7.7%
シ 1
 
7.7%
ョ 1
 
7.7%
サ 1
 
7.7%
イ 1
 
7.7%
Other values (3) 3
23.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70212
76.5%
ASCII 21369
 
23.3%
Number Forms 110
 
0.1%
CJK 45
 
< 0.1%
Punctuation 15
 
< 0.1%
Katakana 13
 
< 0.1%
None 12
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9801
45.9%
e 638
 
3.0%
1 630
 
2.9%
2 625
 
2.9%
n 625
 
2.9%
i 622
 
2.9%
I 568
 
2.7%
o 473
 
2.2%
a 469
 
2.2%
t 439
 
2.1%
Other values (75) 6479
30.3%
Hangul
ValueCountFrequency (%)
학 3108
 
4.4%
론 1557
 
2.2%
이 1386
 
2.0%
의 1351
 
1.9%
기 1291
 
1.8%
리 1250
 
1.8%
사 1222
 
1.7%
어 1019
 
1.5%
과 942
 
1.3%
영 912
 
1.3%
Other values (703) 56174
80.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 53
48.2%
Ⅱ 51
46.4%
Ⅳ 3
 
2.7%
Ⅶ 1
 
0.9%
Ⅲ 1
 
0.9%
Ⅴ 1
 
0.9%
None
ValueCountFrequency (%)
· 9
75.0%
　 3
 
25.0%
Punctuation
ValueCountFrequency (%)
“ 5
33.3%
” 4
26.7%
’ 3
20.0%
‘ 2
 
13.3%
― 1
 
6.7%
CJK
ValueCountFrequency (%)
本 4
 
8.9%
日 4
 
8.9%
語 3
 
6.7%
如 2
 
4.4%
一 2
 
4.4%
學 2
 
4.4%
見 2
 
4.4%
解 2
 
4.4%
習 2
 
4.4%
務 1
 
2.2%
Other values (21) 21
46.7%
CJK Compat Ideographs
ValueCountFrequency (%)
不 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%
Katakana
ValueCountFrequency (%)
ン 1
 
7.7%
コ 1
 
7.7%
ミ 1
 
7.7%
ュ 1
 
7.7%
ニ 1
 
7.7%
ケ 1
 
7.7%
シ 1
 
7.7%
ョ 1
 
7.7%
サ 1
 
7.7%
イ 1
 
7.7%
Other values (3) 3
23.1%

대학
Text

Distinct184
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T09:48:08.822118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length5
Mean length5.6384
Min length5

Characters and Unicode

Total characters56384
Distinct characters136
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.1%

Sample

1st row부경대학교
2nd row부산외국어대학교
3rd row울산/경남권역센터
4th row울산/경남권역센터
5th row원광대학교
ValueCountFrequency (%)
건국대학교 619
 
6.2%
신한대학교 426
 
4.3%
원광대학교 425
 
4.2%
울산대학교 366
 
3.7%
한국외국어대학교 345
 
3.5%
이화여자대학교 318
 
3.2%
한양대학교 272
 
2.7%
부산가톨릭대학교 250
 
2.5%
가천대학교 232
 
2.3%
부산대학교 229
 
2.3%
Other values (174) 6518
65.2%
2023-12-12T09:48:09.310525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 10258
18.2%
학 10111
17.9%
교 10050
17.8%
국 2243
 
4.0%
한 1806
 
3.2%
산 1114
 
2.0%
원 726
 
1.3%
건 704
 
1.2%
부 693
 
1.2%
신 674
 
1.2%
Other values (126) 18005
31.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56346
99.9%
Other Punctuation 38
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 10258
18.2%
학 10111
17.9%
교 10050
17.8%
국 2243
 
4.0%
한 1806
 
3.2%
산 1114
 
2.0%
원 726
 
1.3%
건 704
 
1.2%
부 693
 
1.2%
신 674
 
1.2%
Other values (125) 17967
31.9%
Other Punctuation
ValueCountFrequency (%)
/ 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56346
99.9%
Common 38
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 10258
18.2%
학 10111
17.9%
교 10050
17.8%
국 2243
 
4.0%
한 1806
 
3.2%
산 1114
 
2.0%
원 726
 
1.3%
건 704
 
1.2%
부 693
 
1.2%
신 674
 
1.2%
Other values (125) 17967
31.9%
Common
ValueCountFrequency (%)
/ 38
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56346
99.9%
ASCII 38
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 10258
18.2%
학 10111
17.9%
교 10050
17.8%
국 2243
 
4.0%
한 1806
 
3.2%
산 1114
 
2.0%
원 726
 
1.3%
건 704
 
1.2%
부 693
 
1.2%
신 674
 
1.2%
Other values (125) 17967
31.9%
ASCII
ValueCountFrequency (%)
/ 38
100.0%

교수
Text

Distinct5169
Distinct (%)51.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T09:48:09.699543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length151
Median length3
Mean length3.762
Min length2

Characters and Unicode

Total characters37620
Distinct characters535
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3199 ?
Unique (%)32.0%

Sample

1st row정해룡
2nd row최미화
3rd row박가영
4th row정현화,염태영
5th row조해련
ValueCountFrequency (%)
신종우 328
 
3.0%
김도관 48
 
0.4%
이상원 25
 
0.2%
정호일 24
 
0.2%
유병민 23
 
0.2%
권병철 22
 
0.2%
이창주 21
 
0.2%
고종식 17
 
0.2%
이승택 17
 
0.2%
오세영 16
 
0.1%
Other values (5632) 10393
95.1%
2023-12-12T09:48:10.265009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 1819
 
4.8%
이 1686
 
4.5%
934
 
2.5%
정 908
 
2.4%
영 799
 
2.1%
박 776
 
2.1%
종 658
 
1.7%
우 620
 
1.6%
성 604
 
1.6%
신 577
 
1.5%
Other values (525) 28239
75.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31647
84.1%
Lowercase Letter 3343
 
8.9%
Space Separator 934
 
2.5%
Uppercase Letter 886
 
2.4%
Other Punctuation 630
 
1.7%
Open Punctuation 66
 
0.2%
Close Punctuation 65
 
0.2%
Decimal Number 27
 
0.1%
Dash Punctuation 22
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 1819
 
5.7%
이 1686
 
5.3%
정 908
 
2.9%
영 799
 
2.5%
박 776
 
2.5%
종 658
 
2.1%
우 620
 
2.0%
성 604
 
1.9%
신 577
 
1.8%
현 563
 
1.8%
Other values (452) 22637
71.5%
Lowercase Letter
ValueCountFrequency (%)
a 438
13.1%
e 354
10.6%
n 337
10.1%
i 328
9.8%
o 250
 
7.5%
r 238
 
7.1%
h 184
 
5.5%
l 166
 
5.0%
s 164
 
4.9%
u 130
 
3.9%
Other values (16) 754
22.6%
Uppercase Letter
ValueCountFrequency (%)
J 78
 
8.8%
M 69
 
7.8%
S 62
 
7.0%
T 58
 
6.5%
R 56
 
6.3%
H 56
 
6.3%
K 53
 
6.0%
D 53
 
6.0%
A 52
 
5.9%
C 49
 
5.5%
Other values (16) 300
33.9%
Decimal Number
ValueCountFrequency (%)
1 9
33.3%
4 6
22.2%
0 3
 
11.1%
2 2
 
7.4%
6 2
 
7.4%
5 2
 
7.4%
9 1
 
3.7%
7 1
 
3.7%
8 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 505
80.2%
. 110
 
17.5%
· 5
 
0.8%
& 4
 
0.6%
: 3
 
0.5%
# 1
 
0.2%
/ 1
 
0.2%
? 1
 
0.2%
Space Separator
ValueCountFrequency (%)
934
100.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 65
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31647
84.1%
Latin 4229
 
11.2%
Common 1744
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 1819
 
5.7%
이 1686
 
5.3%
정 908
 
2.9%
영 799
 
2.5%
박 776
 
2.5%
종 658
 
2.1%
우 620
 
2.0%
성 604
 
1.9%
신 577
 
1.8%
현 563
 
1.8%
Other values (452) 22637
71.5%
Latin
ValueCountFrequency (%)
a 438
 
10.4%
e 354
 
8.4%
n 337
 
8.0%
i 328
 
7.8%
o 250
 
5.9%
r 238
 
5.6%
h 184
 
4.4%
l 166
 
3.9%
s 164
 
3.9%
u 130
 
3.1%
Other values (42) 1640
38.8%
Common
ValueCountFrequency (%)
934
53.6%
, 505
29.0%
. 110
 
6.3%
( 66
 
3.8%
) 65
 
3.7%
- 22
 
1.3%
1 9
 
0.5%
4 6
 
0.3%
· 5
 
0.3%
& 4
 
0.2%
Other values (11) 18
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31647
84.1%
ASCII 5968
 
15.9%
None 5
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 1819
 
5.7%
이 1686
 
5.3%
정 908
 
2.9%
영 799
 
2.5%
박 776
 
2.5%
종 658
 
2.1%
우 620
 
2.0%
성 604
 
1.9%
신 577
 
1.8%
현 563
 
1.8%
Other values (452) 22637
71.5%
ASCII
ValueCountFrequency (%)
934
15.7%
, 505
 
8.5%
a 438
 
7.3%
e 354
 
5.9%
n 337
 
5.6%
i 328
 
5.5%
o 250
 
4.2%
r 238
 
4.0%
h 184
 
3.1%
l 166
 
2.8%
Other values (62) 2234
37.4%
None
ValueCountFrequency (%)
· 5
100.0%

학년학기
Categorical

Distinct33
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2015년 2학기
 
587
2014년 2학기
 
546
2017년 2학기
 
540
2015년 1학기
 
496
2014년 1학기
 
469
Other values (28)
7362 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row2017년 2학기
2nd row2016년 2학기
3rd row2023년 2학기
4th row2022년 2학기
5th row2016년 2학기

Common Values

ValueCountFrequency (%)
2015년 2학기 587
 
5.9%
2014년 2학기 546
 
5.5%
2017년 2학기 540
 
5.4%
2015년 1학기 496
 
5.0%
2014년 1학기 469
 
4.7%
2016년 2학기 458
 
4.6%
2016년 1학기 439
 
4.4%
2013년 1학기 437
 
4.4%
2021년 1학기 420
 
4.2%
2012년 2학기 413
 
4.1%
Other values (23) 5195
51.9%

Length

2023-12-12T09:48:10.427848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2학기 5210
26.1%
1학기 4790
23.9%
2015년 1083
 
5.4%
2014년 1015
 
5.1%
2017년 939
 
4.7%
2016년 897
 
4.5%
2013년 838
 
4.2%
2012년 818
 
4.1%
2021년 760
 
3.8%
2019년 680
 
3.4%
Other values (9) 2970
14.8%

학습자원언어
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
KO
8901 
EN
1062 
JA
 
18
ZH
 
15
ko
 
3

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowKO
2nd rowKO
3rd rowKO
4th rowKO
5th rowEN

Common Values

ValueCountFrequency (%)
KO 8901
89.0%
EN 1062
 
10.6%
JA 18
 
0.2%
ZH 15
 
0.1%
ko 3
 
< 0.1%
FR 1
 
< 0.1%

Length

2023-12-12T09:48:10.556869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:48:10.671694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ko 8904
89.0%
en 1062
 
10.6%
ja 18
 
0.2%
zh 15
 
0.1%
fr 1
 
< 0.1%

라이센스
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
by-nc-nd
5909 
by-nc
2896 
by-nc-sa
956 
by-nd
 
129
by
 
99

Length

Max length8
Median length8
Mean length7.0298
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowby-nc-nd
2nd rowby-nc-nd
3rd rowby-nc
4th rowby-nc
5th rowby-nc-sa

Common Values

ValueCountFrequency (%)
by-nc-nd 5909
59.1%
by-nc 2896
29.0%
by-nc-sa 956
 
9.6%
by-nd 129
 
1.3%
by 99
 
1.0%
by-sa 11
 
0.1%

Length

2023-12-12T09:48:10.787991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:48:10.917043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
by-nc-nd 5909
59.1%
by-nc 2896
29.0%
by-nc-sa 956
 
9.6%
by-nd 129
 
1.3%
by 99
 
1.0%
by-sa 11
 
0.1%

등록일시
Date

Distinct1955
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2009-10-05 00:00:00
Maximum2023-09-15 00:00:00
2023-12-12T09:48:11.055855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:48:11.221769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

바로가기 URL
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T09:48:11.611335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length45
Mean length44.7533
Min length44

Characters and Unicode

Total characters447533
Distinct characters28
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st rowhttp://www.kocw.net/home/cview.do?cid=1196427
2nd rowhttp://www.kocw.net/home/cview.do?cid=1180165
3rd rowhttp://www.kocw.net/home/cview.do?cid=1467770
4th rowhttp://www.kocw.net/home/cview.do?cid=1451280
5th rowhttp://www.kocw.net/home/cview.do?cid=1194573
ValueCountFrequency (%)
http://www.kocw.net/home/cview.do?cid=1196427 1
 
< 0.1%
http://www.kocw.net/home/cview.do?cid=1468816 1
 
< 0.1%
http://www.kocw.net/home/cview.do?cid=1470372 1
 
< 0.1%
http://www.kocw.net/home/cview.do?cid=1391795 1
 
< 0.1%
http://www.kocw.net/home/cview.do?cid=1154275 1
 
< 0.1%
http://www.kocw.net/home/cview.do?cid=1163886 1
 
< 0.1%
http://www.kocw.net/home/cview.do?cid=1040352 1
 
< 0.1%
http://www.kocw.net/home/cview.do?cid=711116 1
 
< 0.1%
http://www.kocw.net/home/cview.do?cid=1108079 1
 
< 0.1%
http://www.kocw.net/home/cview.do?cid=300389 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-12T09:48:12.093666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 50000
 
11.2%
/ 40000
 
8.9%
c 30000
 
6.7%
t 30000
 
6.7%
. 30000
 
6.7%
e 30000
 
6.7%
o 30000
 
6.7%
h 20000
 
4.5%
d 20000
 
4.5%
i 20000
 
4.5%
Other values (18) 147533
33.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 280000
62.6%
Other Punctuation 90000
 
20.1%
Decimal Number 67533
 
15.1%
Math Symbol 10000
 
2.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 50000
17.9%
c 30000
10.7%
t 30000
10.7%
e 30000
10.7%
o 30000
10.7%
h 20000
 
7.1%
d 20000
 
7.1%
i 20000
 
7.1%
n 10000
 
3.6%
m 10000
 
3.6%
Other values (3) 30000
10.7%
Decimal Number
ValueCountFrequency (%)
1 14630
21.7%
3 7374
10.9%
4 6920
10.2%
2 6599
9.8%
0 6054
9.0%
6 5409
 
8.0%
7 5229
 
7.7%
9 5213
 
7.7%
5 5139
 
7.6%
8 4966
 
7.4%
Other Punctuation
ValueCountFrequency (%)
/ 40000
44.4%
. 30000
33.3%
: 10000
 
11.1%
? 10000
 
11.1%
Math Symbol
ValueCountFrequency (%)
= 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 280000
62.6%
Common 167533
37.4%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 40000
23.9%
. 30000
17.9%
1 14630
 
8.7%
: 10000
 
6.0%
? 10000
 
6.0%
= 10000
 
6.0%
3 7374
 
4.4%
4 6920
 
4.1%
2 6599
 
3.9%
0 6054
 
3.6%
Other values (5) 25956
15.5%
Latin
ValueCountFrequency (%)
w 50000
17.9%
c 30000
10.7%
t 30000
10.7%
e 30000
10.7%
o 30000
10.7%
h 20000
 
7.1%
d 20000
 
7.1%
i 20000
 
7.1%
n 10000
 
3.6%
m 10000
 
3.6%
Other values (3) 30000
10.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 447533
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 50000
 
11.2%
/ 40000
 
8.9%
c 30000
 
6.7%
t 30000
 
6.7%
. 30000
 
6.7%
e 30000
 
6.7%
o 30000
 
6.7%
h 20000
 
4.5%
d 20000
 
4.5%
i 20000
 
4.5%
Other values (18) 147533
33.0%

Correlations

2023-12-12T09:48:12.260714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
중분류대분류학년학기학습자원언어라이센스
중분류1.0001.0000.3450.2760.234
대분류1.0001.0000.2940.1450.102
학년학기0.3450.2941.0000.2980.364
학습자원언어0.2760.1450.2981.0000.200
라이센스0.2340.1020.3640.2001.000
2023-12-12T09:48:12.419032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학습자원언어라이센스대분류중분류학년학기
학습자원언어1.0000.0740.0860.1230.133
라이센스0.0741.0000.0600.1030.166
대분류0.0860.0601.0000.9980.126
중분류0.1230.1030.9981.0000.078
학년학기0.1330.1660.1260.0781.000
2023-12-12T09:48:12.537613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
중분류대분류학년학기학습자원언어라이센스
중분류1.0000.9980.0780.1230.103
대분류0.9981.0000.1260.0860.060
학년학기0.0780.1261.0000.1330.166
학습자원언어0.1230.0860.1331.0000.074
라이센스0.1030.0600.1660.0741.000

Missing values

2023-12-12T09:48:06.787239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:48:06.960357image/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

중분류대분류강의명대학교수학년학기학습자원언어라이센스등록일시바로가기 URL
9482언어ㆍ문학인문과학셰익스피어 작품의 현대적 의미부경대학교정해룡2017년 2학기KOby-nc-nd2017-04-05http://www.kocw.net/home/cview.do?cid=1196427
7863경영ㆍ경제사회과학재무회계기초부산외국어대학교최미화2016년 2학기KOby-nc-nd2016-12-07http://www.kocw.net/home/cview.do?cid=1180165
15100컴퓨터ㆍ통신공학영상콘텐츠 제작의 이론과 실제울산/경남권역센터박가영2023년 2학기KOby-nc2023-06-15http://www.kocw.net/home/cview.do?cid=1467770
14309산업공학4차 산업혁명(협동로봇 운용, 빅데이터 분석)울산/경남권역센터정현화,염태영2022년 2학기KOby-nc2022-12-15http://www.kocw.net/home/cview.do?cid=1451280
8288간호의약학건강사정원광대학교조해련2016년 2학기ENby-nc-sa2017-03-31http://www.kocw.net/home/cview.do?cid=1194573
10474응용예술예술ㆍ체육공연예술론나사렛대학교홍윤주2018년 2학기KOby-nc-nd2019-07-24http://www.kocw.net/home/cview.do?cid=1331677
12059인문과학기타인문과학국가안보와 국방정책의 이해우석대학교김승현2020년 1학기KOby-nc-nd2021-07-16http://www.kocw.net/home/cview.do?cid=1402502
10977사회과학기타사회과학정신건강론서원대학교오봉욱2019년 1학기KOby-nc2019-10-17http://www.kocw.net/home/cview.do?cid=1338030
12736수학ㆍ물리ㆍ천문ㆍ지리자연과학고등미적분학조선대학교홍성금2020년 2학기KOby-nc2021-01-04http://www.kocw.net/home/cview.do?cid=1386557
8753언어ㆍ문학인문과학기초독일어문법1단국대학교정원석2017년 1학기KOby-nc2018-02-01http://www.kocw.net/home/cview.do?cid=1257217
중분류대분류강의명대학교수학년학기학습자원언어라이센스등록일시바로가기 URL
14769컴퓨터ㆍ통신공학문제부터 풀자! C프로그래밍한동대학교김광2023년 1학기KOby-nc-nd2022-12-26http://www.kocw.net/home/cview.do?cid=1451951
5692사회과학기타사회과학진화하는 범죄유형과 대책이화여자대학교이수정2015년 1학기KOby-nc-nd2016-03-04http://www.kocw.net/home/cview.do?cid=1132880
14606언어ㆍ문학인문과학생각을 키우는 슬로리딩광주여자대학교백혜진2022년 2학기KOby-nc-nd2023-07-20http://www.kocw.net/home/cview.do?cid=1473719
3634언어ㆍ문학인문과학사고와 표현상명대학교전영옥2013년 2학기KOby-nc-nd2014-06-10http://www.kocw.net/home/cview.do?cid=977349
2415인문과학기타인문과학한국 지역문화와 콘텐츠2한국외국어대학교유제상2012년 2학기KOby-nc2013-01-10http://www.kocw.net/home/cview.do?cid=439694
9411언어ㆍ문학인문과학영어교재 연구 및 지도법대구한의대학교탕 리링린2017년 2학기ENby-nc-nd2018-09-19http://www.kocw.net/home/cview.do?cid=1299496
1432화공공학Renewable Energy II한경대학교엄병환2012년 1학기KOby-nc-nd2013-02-14http://www.kocw.net/home/cview.do?cid=444631
12486사회과학기타사회과학인간행동과 사회환경(이론편)목포가톨릭대학교이재경2020년 2학기KOby-nc2020-09-14http://www.kocw.net/home/cview.do?cid=1369531
2387인문과학기타인문과학토론발표의 기술서원대학교김진호2012년 2학기KOby-nc-nd2013-07-24http://www.kocw.net/home/cview.do?cid=692911
14120무용ㆍ체육예술ㆍ체육운동역학광주/전남권역센터김영관,홍완기,정재영,이효성,주지용2022년 1학기KOby-nc-nd2022-12-09http://www.kocw.net/home/cview.do?cid=1449966