Overview

Dataset statistics

Number of variables7
Number of observations63
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory59.1 B

Variable types

Numeric1
Categorical2
Text3
DateTime1

Dataset

Description한국국제협력단 유튜브 채널의 영상목록입니다. 자세한 사항은 유튜브 "KOICA"채널에서 확인하실수 있습니다.
Author한국국제협력단
URLhttps://www.data.go.kr/data/15074674/fileData.do

Alerts

채널명 has constant value ""Constant
번호 has unique valuesUnique
제목 has unique valuesUnique
링크 has unique valuesUnique

Reproduction

Analysis started2023-12-16 15:42:53.710735
Analysis finished2023-12-16 15:42:56.511859
Duration2.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32
Minimum1
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-16T15:42:56.798634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.1
Q116.5
median32
Q347.5
95-th percentile59.9
Maximum63
Range62
Interquartile range (IQR)31

Descriptive statistics

Standard deviation18.330303
Coefficient of variation (CV)0.57282196
Kurtosis-1.2
Mean32
Median Absolute Deviation (MAD)16
Skewness0
Sum2016
Variance336
MonotonicityStrictly increasing
2023-12-16T15:42:57.417023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
2 1
 
1.6%
35 1
 
1.6%
36 1
 
1.6%
37 1
 
1.6%
38 1
 
1.6%
39 1
 
1.6%
40 1
 
1.6%
41 1
 
1.6%
42 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
1 1
1.6%
2 1
1.6%
3 1
1.6%
4 1
1.6%
5 1
1.6%
6 1
1.6%
7 1
1.6%
8 1
1.6%
9 1
1.6%
10 1
1.6%
ValueCountFrequency (%)
63 1
1.6%
62 1
1.6%
61 1
1.6%
60 1
1.6%
59 1
1.6%
58 1
1.6%
57 1
1.6%
56 1
1.6%
55 1
1.6%
54 1
1.6%

채널명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size636.0 B
KOICA공식유튜브
63 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
KOICA공식유튜브 63
100.0%

Length

2023-12-16T15:42:58.012314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:42:58.565468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
koica공식유튜브 63
100.0%

제목
Text

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-16T15:42:59.709181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length102
Median length52
Mean length41.777778
Min length11

Characters and Unicode

Total characters2632
Distinct characters387
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)100.0%

Sample

1st row[MAGAZINE KOICA 1월호] 전 세계가 함께 고민하는 문제, ODA에서 그 답을 찾다!
2nd row[마이리얼코이카 #페루] 페루 아마존 지역 이키토스에서 코이카는 어떤 사업을 하고 있을까? (feat.월드비전)
3rd row오랜만에 한국 방문, 어떠셨나요?
4th rowDT가 엘살바도르 청년 창업에 미치는 영향!? (feat.직원 총출동)ㅣ엘살바도르, DT를 알려줘 최종편
5th row2019 KOICA 사회적연대경제 프로그램 성과관리사업 성과공유회
ValueCountFrequency (%)
koica 19
 
3.6%
9
 
1.7%
2023년 5
 
0.9%
및 5
 
0.9%
글로벌 5
 
0.9%
현장 4
 
0.8%
oda 4
 
0.8%
cts 4
 
0.8%
공모설명회 4
 
0.8%
페루 4
 
0.8%
Other values (403) 465
88.1%
2023-12-16T15:43:02.645204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
468
 
17.8%
A 45
 
1.7%
이 43
 
1.6%
O 34
 
1.3%
사 33
 
1.3%
I 31
 
1.2%
a 28
 
1.1%
e 27
 
1.0%
C 27
 
1.0%
2 26
 
1.0%
Other values (377) 1870
71.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1365
51.9%
Space Separator 468
 
17.8%
Uppercase Letter 280
 
10.6%
Lowercase Letter 262
 
10.0%
Decimal Number 79
 
3.0%
Other Punctuation 79
 
3.0%
Open Punctuation 38
 
1.4%
Close Punctuation 38
 
1.4%
Dash Punctuation 13
 
0.5%
Math Symbol 5
 
0.2%
Other values (3) 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 43
 
3.2%
사 33
 
2.4%
리 25
 
1.8%
의 22
 
1.6%
가 21
 
1.5%
회 21
 
1.5%
다 21
 
1.5%
는 20
 
1.5%
에 20
 
1.5%
기 19
 
1.4%
Other values (300) 1120
82.1%
Uppercase Letter
ValueCountFrequency (%)
A 45
16.1%
O 34
12.1%
I 31
11.1%
C 27
9.6%
K 26
9.3%
S 16
 
5.7%
D 16
 
5.7%
G 11
 
3.9%
E 11
 
3.9%
T 10
 
3.6%
Other values (15) 53
18.9%
Lowercase Letter
ValueCountFrequency (%)
a 28
10.7%
e 27
10.3%
t 25
9.5%
n 25
9.5%
i 22
8.4%
o 22
8.4%
r 21
 
8.0%
l 17
 
6.5%
u 11
 
4.2%
s 10
 
3.8%
Other values (13) 54
20.6%
Decimal Number
ValueCountFrequency (%)
2 26
32.9%
0 12
15.2%
3 11
13.9%
1 9
 
11.4%
4 7
 
8.9%
5 5
 
6.3%
7 4
 
5.1%
6 2
 
2.5%
8 2
 
2.5%
9 1
 
1.3%
Other Punctuation
ValueCountFrequency (%)
, 21
26.6%
? 19
24.1%
! 11
13.9%
# 10
12.7%
. 9
11.4%
' 5
 
6.3%
" 4
 
5.1%
Open Punctuation
ValueCountFrequency (%)
[ 23
60.5%
( 15
39.5%
Close Punctuation
ValueCountFrequency (%)
] 23
60.5%
) 15
39.5%
Math Symbol
ValueCountFrequency (%)
| 4
80.0%
~ 1
 
20.0%
Other Symbol
ValueCountFrequency (%)
💜 2
66.7%
💛 1
33.3%
Space Separator
ValueCountFrequency (%)
468
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1365
51.9%
Common 725
27.5%
Latin 542
 
20.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 43
 
3.2%
사 33
 
2.4%
리 25
 
1.8%
의 22
 
1.6%
가 21
 
1.5%
회 21
 
1.5%
다 21
 
1.5%
는 20
 
1.5%
에 20
 
1.5%
기 19
 
1.4%
Other values (300) 1120
82.1%
Latin
ValueCountFrequency (%)
A 45
 
8.3%
O 34
 
6.3%
I 31
 
5.7%
a 28
 
5.2%
e 27
 
5.0%
C 27
 
5.0%
K 26
 
4.8%
t 25
 
4.6%
n 25
 
4.6%
i 22
 
4.1%
Other values (38) 252
46.5%
Common
ValueCountFrequency (%)
468
64.6%
2 26
 
3.6%
[ 23
 
3.2%
] 23
 
3.2%
, 21
 
2.9%
? 19
 
2.6%
) 15
 
2.1%
( 15
 
2.1%
- 13
 
1.8%
0 12
 
1.7%
Other values (19) 90
 
12.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1359
51.6%
ASCII 1262
47.9%
Compat Jamo 6
 
0.2%
None 3
 
0.1%
Punctuation 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
468
37.1%
A 45
 
3.6%
O 34
 
2.7%
I 31
 
2.5%
a 28
 
2.2%
e 27
 
2.1%
C 27
 
2.1%
2 26
 
2.1%
K 26
 
2.1%
t 25
 
2.0%
Other values (63) 525
41.6%
Hangul
ValueCountFrequency (%)
이 43
 
3.2%
사 33
 
2.4%
리 25
 
1.8%
의 22
 
1.6%
가 21
 
1.5%
회 21
 
1.5%
다 21
 
1.5%
는 20
 
1.5%
에 20
 
1.5%
기 19
 
1.4%
Other values (299) 1114
82.0%
Compat Jamo
ValueCountFrequency (%)
ㅣ 6
100.0%
None
ValueCountFrequency (%)
💜 2
66.7%
💛 1
33.3%
Punctuation
ValueCountFrequency (%)
’ 1
50.0%
‘ 1
50.0%

설명
Text

Distinct52
Distinct (%)82.5%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-16T15:43:04.739677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length39
Mean length26.206349
Min length13

Characters and Unicode

Total characters1651
Distinct characters259
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)76.2%

Sample

1st row[MAGAZINE KOICA 1월호] 소개
2nd row페루아마존 지역의 지역주민 기초보건 증진 및 열대감염병 경감사업
3rd row2023년 4년만에 대면으로. 해외사무소 현장 스케치 및 인터뷰
4th row엘살바도르 DT 사업 소개
5th row2019 KOICA 사회적연대경제 프로그램 성과관리사업 성과공유회
ValueCountFrequency (%)
유튜브 15
 
4.2%
개발협력포럼 15
 
4.2%
하이라이트 14
 
4.0%
숏츠 14
 
4.0%
koica 13
 
3.7%
소개 11
 
3.1%
및 9
 
2.5%
현장 9
 
2.5%
사업 8
 
2.3%
제54회 6
 
1.7%
Other values (167) 239
67.7%
2023-12-16T15:43:07.346641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
348
 
21.1%
이 45
 
2.7%
회 35
 
2.1%
개 35
 
2.1%
사 28
 
1.7%
제 26
 
1.6%
2 25
 
1.5%
협 23
 
1.4%
력 23
 
1.4%
A 22
 
1.3%
Other values (249) 1041
63.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1040
63.0%
Space Separator 348
 
21.1%
Uppercase Letter 140
 
8.5%
Decimal Number 94
 
5.7%
Open Punctuation 10
 
0.6%
Close Punctuation 10
 
0.6%
Other Punctuation 6
 
0.4%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 45
 
4.3%
회 35
 
3.4%
개 35
 
3.4%
사 28
 
2.7%
제 26
 
2.5%
협 23
 
2.2%
력 23
 
2.2%
발 21
 
2.0%
브 21
 
2.0%
라 20
 
1.9%
Other values (211) 763
73.4%
Uppercase Letter
ValueCountFrequency (%)
A 22
15.7%
O 21
15.0%
C 19
13.6%
I 17
12.1%
K 16
11.4%
D 10
7.1%
T 8
 
5.7%
S 7
 
5.0%
N 3
 
2.1%
R 3
 
2.1%
Other values (11) 14
10.0%
Decimal Number
ValueCountFrequency (%)
2 25
26.6%
5 20
21.3%
4 12
12.8%
0 11
11.7%
6 8
 
8.5%
3 8
 
8.5%
1 8
 
8.5%
7 1
 
1.1%
9 1
 
1.1%
Open Punctuation
ValueCountFrequency (%)
( 6
60.0%
[ 4
40.0%
Close Punctuation
ValueCountFrequency (%)
) 6
60.0%
] 4
40.0%
Other Punctuation
ValueCountFrequency (%)
. 4
66.7%
' 2
33.3%
Space Separator
ValueCountFrequency (%)
348
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1040
63.0%
Common 471
28.5%
Latin 140
 
8.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 45
 
4.3%
회 35
 
3.4%
개 35
 
3.4%
사 28
 
2.7%
제 26
 
2.5%
협 23
 
2.2%
력 23
 
2.2%
발 21
 
2.0%
브 21
 
2.0%
라 20
 
1.9%
Other values (211) 763
73.4%
Latin
ValueCountFrequency (%)
A 22
15.7%
O 21
15.0%
C 19
13.6%
I 17
12.1%
K 16
11.4%
D 10
7.1%
T 8
 
5.7%
S 7
 
5.0%
N 3
 
2.1%
R 3
 
2.1%
Other values (11) 14
10.0%
Common
ValueCountFrequency (%)
348
73.9%
2 25
 
5.3%
5 20
 
4.2%
4 12
 
2.5%
0 11
 
2.3%
6 8
 
1.7%
3 8
 
1.7%
1 8
 
1.7%
( 6
 
1.3%
) 6
 
1.3%
Other values (7) 19
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1040
63.0%
ASCII 611
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
348
57.0%
2 25
 
4.1%
A 22
 
3.6%
O 21
 
3.4%
5 20
 
3.3%
C 19
 
3.1%
I 17
 
2.8%
K 16
 
2.6%
4 12
 
2.0%
0 11
 
1.8%
Other values (28) 100
 
16.4%
Hangul
ValueCountFrequency (%)
이 45
 
4.3%
회 35
 
3.4%
개 35
 
3.4%
사 28
 
2.7%
제 26
 
2.5%
협 23
 
2.2%
력 23
 
2.2%
발 21
 
2.0%
브 21
 
2.0%
라 20
 
1.9%
Other values (211) 763
73.4%

날짜
Date

Distinct43
Distinct (%)68.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
Minimum2023-01-27 00:00:00
Maximum2023-10-24 00:00:00
2023-12-16T15:43:08.300532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:43:09.527323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)

교육콘텐츠여부
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size636.0 B
해당
42 
미해당
21 

Length

Max length3
Median length2
Mean length2.3333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미해당
2nd row해당
3rd row미해당
4th row해당
5th row해당

Common Values

ValueCountFrequency (%)
해당 42
66.7%
미해당 21
33.3%

Length

2023-12-16T15:43:10.082266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:43:10.573491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당 42
66.7%
미해당 21
33.3%

링크
Text

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-16T15:43:12.344834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length52
Mean length38.873016
Min length28

Characters and Unicode

Total characters2449
Distinct characters70
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)100.0%

Sample

1st rowhttps://youtu.be/_u1_Z1yUPSk
2nd rowhttps://youtu.be/WBWNTFav_3w
3rd rowhttps://youtu.be/Ho-crfK7ZcE
4th rowhttps://youtu.be/JtlWI_3IEuU
5th rowhttps://youtube.com/live/pNtlXeoIrhA
ValueCountFrequency (%)
https://youtu.be/_u1_z1yupsk 1
 
1.6%
https://www.youtube.com/watch?v=c4udnxucei4 1
 
1.6%
https://youtu.be/re7ljgqgz6i 1
 
1.6%
https://youtu.be/n4m6ieihpkc 1
 
1.6%
https://youtu.be/evvfxlb0fdo 1
 
1.6%
https://youtu.be/dpjya6ruvpc 1
 
1.6%
https://youtube.com/shorts/b-z3fply-5s 1
 
1.6%
https://youtube.com/shorts/nzqb8pgjaiw 1
 
1.6%
https://youtube.com/shorts/mizifsjfhfa 1
 
1.6%
https://youtube.com/shorts/z-7y7mdbeew?feature=share 1
 
1.6%
Other values (53) 53
84.1%
2023-12-16T15:43:14.597404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 248
 
10.1%
/ 210
 
8.6%
u 150
 
6.1%
o 133
 
5.4%
h 122
 
5.0%
s 119
 
4.9%
e 111
 
4.5%
w 102
 
4.2%
. 86
 
3.5%
c 82
 
3.3%
Other values (60) 1086
44.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1586
64.8%
Other Punctuation 391
 
16.0%
Uppercase Letter 292
 
11.9%
Decimal Number 116
 
4.7%
Math Symbol 32
 
1.3%
Dash Punctuation 15
 
0.6%
Connector Punctuation 11
 
0.4%
Space Separator 6
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 248
15.6%
u 150
9.5%
o 133
 
8.4%
h 122
 
7.7%
s 119
 
7.5%
e 111
 
7.0%
w 102
 
6.4%
c 82
 
5.2%
y 77
 
4.9%
b 72
 
4.5%
Other values (16) 370
23.3%
Uppercase Letter
ValueCountFrequency (%)
E 20
 
6.8%
I 16
 
5.5%
A 16
 
5.5%
M 15
 
5.1%
Y 15
 
5.1%
J 13
 
4.5%
X 13
 
4.5%
Q 13
 
4.5%
O 13
 
4.5%
B 12
 
4.1%
Other values (16) 146
50.0%
Decimal Number
ValueCountFrequency (%)
8 18
15.5%
4 16
13.8%
3 14
12.1%
0 12
10.3%
1 12
10.3%
7 11
9.5%
2 10
8.6%
5 9
7.8%
6 8
6.9%
9 6
 
5.2%
Other Punctuation
ValueCountFrequency (%)
/ 210
53.7%
. 86
22.0%
: 63
 
16.1%
? 32
 
8.2%
Math Symbol
ValueCountFrequency (%)
= 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 11
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1878
76.7%
Common 571
 
23.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 248
 
13.2%
u 150
 
8.0%
o 133
 
7.1%
h 122
 
6.5%
s 119
 
6.3%
e 111
 
5.9%
w 102
 
5.4%
c 82
 
4.4%
y 77
 
4.1%
b 72
 
3.8%
Other values (42) 662
35.3%
Common
ValueCountFrequency (%)
/ 210
36.8%
. 86
15.1%
: 63
 
11.0%
= 32
 
5.6%
? 32
 
5.6%
8 18
 
3.2%
4 16
 
2.8%
- 15
 
2.6%
3 14
 
2.5%
0 12
 
2.1%
Other values (8) 73
 
12.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2449
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 248
 
10.1%
/ 210
 
8.6%
u 150
 
6.1%
o 133
 
5.4%
h 122
 
5.0%
s 119
 
4.9%
e 111
 
4.5%
w 102
 
4.2%
. 86
 
3.5%
c 82
 
3.3%
Other values (60) 1086
44.3%

Interactions

2023-12-16T15:42:55.456005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-16T15:43:15.058736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호제목설명날짜교육콘텐츠여부링크
번호1.0001.0000.9570.9730.3131.000
제목1.0001.0001.0001.0001.0001.000
설명0.9571.0001.0000.9970.9801.000
날짜0.9731.0000.9971.0000.9801.000
교육콘텐츠여부0.3131.0000.9800.9801.0001.000
링크1.0001.0001.0001.0001.0001.000
2023-12-16T15:43:15.668924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호교육콘텐츠여부
번호1.0000.202
교육콘텐츠여부0.2021.000

Missing values

2023-12-16T15:42:55.930819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-16T15:42:56.365121image/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

번호채널명제목설명날짜교육콘텐츠여부링크
01KOICA공식유튜브[MAGAZINE KOICA 1월호] 전 세계가 함께 고민하는 문제, ODA에서 그 답을 찾다![MAGAZINE KOICA 1월호] 소개2023-01-27미해당https://youtu.be/_u1_Z1yUPSk
12KOICA공식유튜브[마이리얼코이카 #페루] 페루 아마존 지역 이키토스에서 코이카는 어떤 사업을 하고 있을까? (feat.월드비전)페루아마존 지역의 지역주민 기초보건 증진 및 열대감염병 경감사업2023-01-31해당https://youtu.be/WBWNTFav_3w
23KOICA공식유튜브오랜만에 한국 방문, 어떠셨나요?2023년 4년만에 대면으로. 해외사무소 현장 스케치 및 인터뷰2023-02-02미해당https://youtu.be/Ho-crfK7ZcE
34KOICA공식유튜브DT가 엘살바도르 청년 창업에 미치는 영향!? (feat.직원 총출동)ㅣ엘살바도르, DT를 알려줘 최종편엘살바도르 DT 사업 소개2023-02-21해당https://youtu.be/JtlWI_3IEuU
45KOICA공식유튜브2019 KOICA 사회적연대경제 프로그램 성과관리사업 성과공유회2019 KOICA 사회적연대경제 프로그램 성과관리사업 성과공유회2023-02-21해당https://youtube.com/live/pNtlXeoIrhA
56KOICA공식유튜브민간금융수단(PSI) ODA 분석 및 함의민간금융수단(PSI) ODA 분석 및 함의2023-02-27해당https://youtu.be/YfOMjxNU2-g
67KOICA공식유튜브[마이리얼코이카#우간다] 폼 미쳤다,, 우간다 국립병원 유일한 한국인 외과의사의 하루! (ENG SUB)우간다 글로벌협력의사 브이로그2023-03-03미해당https://youtu.be/3ldH35kwBf8
78KOICA공식유튜브[해외사무숏] 오늘도 평화로운 에티오피아 사무소 ft.커피세레모니에티오피아 사무소의 여성의 날 현장2023-03-12미해당https://www.youtube.com/shorts/_UsjudLMgsg
89KOICA공식유튜브[해외사무숏] 카메룬 부소장, UN 물총회에 떴따!카메룬 부소장의 UN 물회의 현장2023-03-23미해당https://youtube.com/shorts/0vF_JSWXBnI?feature=share
910KOICA공식유튜브[현장 스케치] 다시 일상으로 나아갈 수 있도록KDRT 긴급 파견 및 복귀 현장2023-03-15미해당https://youtu.be/XohC9Ti5aqw
번호채널명제목설명날짜교육콘텐츠여부링크
5354KOICA공식유튜브The 16th Seoul ODA International Conference제16회 서울ODA국제회의 스트리밍(영문)2023-09-07해당https://www.youtube.com/watch?v=OXGONTy0ZVI
5455KOICA공식유튜브전 세계 미래를 논하는 회의, 서울에서 열리다? #서울ODA국제회의제16회 서울ODA국제회의 소개 숏츠2023-09-08미해당https://youtube.com/shorts/nyA-70une8I
5556KOICA공식유튜브"오전에는 농사, 오후에는 판사?" 페루의 평화판사 이야기 [페루 사업시리즈 01] 평화판사 편페루 평화판사 수혜자 스토리 영상2023-09-14미해당https://youtu.be/EP-X5HFbBcE
5657KOICA공식유튜브국경을 넘은 영웅, 대한민국 해외긴급구호대(KDRT) | 캐나다 산불 진화KDRT 캐나다 산불 진화 현장 파견 하이라이트 영상2023-09-19미해당https://youtu.be/tcFGK3jTJK8
5758KOICA공식유튜브글로벌 복합위기, 어떻게 대응할 것인가 Part 2ㅣMAGAZINE KOICA 커버스토리글로벌 복합위기와 개발협력에 대한 전문가 좌담(매거진 코이카 커버스토리) 2편2023-09-27해당https://youtu.be/BVo_e7qXNCQ
5859KOICA공식유튜브[마이리얼코이카 #태국] KOICA X World Bank 크로쓰! 태국 영향평가 워크샵 V-LOG태국 영향평가 워크샵 브이로그2023-10-05미해당https://www.youtube.com/watch?v=-CH8tI4caHE
5960KOICA공식유튜브다른 나라에서도 배우러 온다는ㅣ코이카 코트디부아르 여성 누공 치료 사업코트디부아르 여성 누공 치료 사업 삼각협력단 현장 방문2023-10-15미해당https://www.youtube.com/watch?v=YsO8MHhdnC8
6061KOICA공식유튜브(KOR) 지역사회와 함께한 르완다 사무소의 특별한 보통 날💛ㅣ르완다 코이카 연수생 동창회 봉사활동 현장르완다 코이카 연수생 동창회 봉사활동 현장2023-10-17미해당https://www.youtube.com/watch?v=aBrwjDHK_Lo
6162KOICA공식유튜브[마이리얼코이카 #카메룬] 카메룬 사무소의 극기훈련급(?) 중앙아프리카공화국 출장기 V-log (ft.감동 쿠키)카메룬 사무소의 중앙아프리카공화국 출장 브이로그2023-10-20미해당https://www.youtube.com/watch?v=WeF0YAh0Rrc
6263KOICA공식유튜브[정책브리핑] DAC 공여국의 인도적 지원-개발-평화 넥서스 기반 ODA 지원 현황DAC공여국의 인도적지원-개발-평화 넥서스 기반 ODA 지원 현황2023-10-24해당https://www.youtube.com/watch?v=sPtmtLWo94M