Overview

Dataset statistics

Number of variables5
Number of observations143
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.9 KiB
Average record size in memory41.9 B

Variable types

Text3
DateTime1
Numeric1

Dataset

Description1. 국가별 협력사업 목록 조회: 제목과 작성일을 이용하여 국가별 협력사업 목록 조회
Author한국국제협력단
URLhttps://www.data.go.kr/data/15099255/fileData.do

Alerts

다운로드URL has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:33:36.561712
Analysis finished2023-12-11 23:33:37.173622
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

제목
Text

Distinct141
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T08:33:37.356153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length205
Median length87
Mean length66.972028
Min length28

Characters and Unicode

Total characters9577
Distinct characters393
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

Unique139 ?
Unique (%)97.2%

Sample

1st rowStrengthening Capacity for Establishing the National Skills Testing and Certification System in Vietnam_Final Report, December 2013
2nd row베트남 국가기술자격 검정제도구축 역량강화사업_최종보고서 2013.12
3rd row베트남 꽝찌성 중급직업훈련학교 개선사업 최종보고서 2014.1
4th row글로벌 새마을 사업 세네갈 농업기술학교(CIH) 역량강화사업 기획조사(실시협의) 결과보고서 2014.4
5th row케냐 분고마 추웰레 지역 식수공급체계 개선사업 실시협의 결과보고서 2014.4
ValueCountFrequency (%)
결과보고서 80
 
5.4%
심층기획조사 66
 
4.4%
및 38
 
2.6%
사업 24
 
1.6%
집행계획(안 20
 
1.3%
v.2 20
 
1.3%
위한 17
 
1.1%
2018.12 16
 
1.1%
역량강화사업 14
 
0.9%
기획조사 12
 
0.8%
Other values (711) 1179
79.3%
2023-12-12T08:33:37.744832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1343
 
14.0%
2 576
 
6.0%
0 491
 
5.1%
1 320
 
3.3%
사 250
 
2.6%
. 169
 
1.8%
업 156
 
1.6%
보 142
 
1.5%
) 134
 
1.4%
( 134
 
1.4%
Other values (383) 5862
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4279
44.7%
Decimal Number 1793
18.7%
Space Separator 1343
 
14.0%
Lowercase Letter 1179
 
12.3%
Uppercase Letter 308
 
3.2%
Other Punctuation 195
 
2.0%
Close Punctuation 135
 
1.4%
Open Punctuation 135
 
1.4%
Connector Punctuation 107
 
1.1%
Dash Punctuation 97
 
1.0%
Other values (3) 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 250
 
5.8%
업 156
 
3.6%
보 142
 
3.3%
기 126
 
2.9%
서 116
 
2.7%
고 115
 
2.7%
획 109
 
2.5%
조 98
 
2.3%
과 96
 
2.2%
결 94
 
2.2%
Other values (310) 2977
69.6%
Lowercase Letter
ValueCountFrequency (%)
e 133
11.3%
n 118
10.0%
i 113
9.6%
t 106
 
9.0%
o 102
 
8.7%
a 91
 
7.7%
r 75
 
6.4%
s 61
 
5.2%
l 59
 
5.0%
c 43
 
3.6%
Other values (15) 278
23.6%
Uppercase Letter
ValueCountFrequency (%)
P 41
13.3%
C 36
11.7%
D 24
 
7.8%
S 22
 
7.1%
T 21
 
6.8%
R 18
 
5.8%
M 18
 
5.8%
I 16
 
5.2%
N 15
 
4.9%
F 15
 
4.9%
Other values (11) 82
26.6%
Decimal Number
ValueCountFrequency (%)
2 576
32.1%
0 491
27.4%
1 320
17.8%
8 86
 
4.8%
5 72
 
4.0%
9 65
 
3.6%
7 59
 
3.3%
3 45
 
2.5%
6 42
 
2.3%
4 37
 
2.1%
Other Punctuation
ValueCountFrequency (%)
. 169
86.7%
, 15
 
7.7%
' 8
 
4.1%
· 2
 
1.0%
․ 1
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 134
99.3%
」 1
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 134
99.3%
「 1
 
0.7%
Letter Number
ValueCountFrequency (%)
Ⅳ 2
66.7%
Ⅱ 1
33.3%
Math Symbol
ValueCountFrequency (%)
= 1
50.0%
~ 1
50.0%
Space Separator
ValueCountFrequency (%)
1343
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 107
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 97
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4279
44.7%
Common 3808
39.8%
Latin 1490
 
15.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 250
 
5.8%
업 156
 
3.6%
보 142
 
3.3%
기 126
 
2.9%
서 116
 
2.7%
고 115
 
2.7%
획 109
 
2.5%
조 98
 
2.3%
과 96
 
2.2%
결 94
 
2.2%
Other values (310) 2977
69.6%
Latin
ValueCountFrequency (%)
e 133
 
8.9%
n 118
 
7.9%
i 113
 
7.6%
t 106
 
7.1%
o 102
 
6.8%
a 91
 
6.1%
r 75
 
5.0%
s 61
 
4.1%
l 59
 
4.0%
c 43
 
2.9%
Other values (38) 589
39.5%
Common
ValueCountFrequency (%)
1343
35.3%
2 576
15.1%
0 491
 
12.9%
1 320
 
8.4%
. 169
 
4.4%
) 134
 
3.5%
( 134
 
3.5%
_ 107
 
2.8%
- 97
 
2.5%
8 86
 
2.3%
Other values (15) 351
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5289
55.2%
Hangul 4279
44.7%
None 4
 
< 0.1%
Number Forms 3
 
< 0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1343
25.4%
2 576
 
10.9%
0 491
 
9.3%
1 320
 
6.1%
. 169
 
3.2%
) 134
 
2.5%
( 134
 
2.5%
e 133
 
2.5%
n 118
 
2.2%
i 113
 
2.1%
Other values (56) 1758
33.2%
Hangul
ValueCountFrequency (%)
사 250
 
5.8%
업 156
 
3.6%
보 142
 
3.3%
기 126
 
2.9%
서 116
 
2.7%
고 115
 
2.7%
획 109
 
2.5%
조 98
 
2.3%
과 96
 
2.2%
결 94
 
2.2%
Other values (310) 2977
69.6%
Number Forms
ValueCountFrequency (%)
Ⅳ 2
66.7%
Ⅱ 1
33.3%
None
ValueCountFrequency (%)
· 2
50.0%
「 1
25.0%
」 1
25.0%
Punctuation
ValueCountFrequency (%)
․ 1
50.0%
’ 1
50.0%

작성일
Date

Distinct56
Distinct (%)39.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2013-12-01 00:00:00
Maximum2021-05-01 00:00:00
2023-12-12T08:33:37.867291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:33:37.984940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

다운로드URL
Text

UNIQUE 

Distinct143
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T08:33:38.204665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length54
Mean length54
Min length54

Characters and Unicode

Total characters7722
Distinct characters32
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

Unique143 ?
Unique (%)100.0%

Sample

1st rowhttps://opendata.mofa.go.kr:8443/docFiles/564/download
2nd rowhttps://opendata.mofa.go.kr:8443/docFiles/586/download
3rd rowhttps://opendata.mofa.go.kr:8443/docFiles/592/download
4th rowhttps://opendata.mofa.go.kr:8443/docFiles/455/download
5th rowhttps://opendata.mofa.go.kr:8443/docFiles/532/download
ValueCountFrequency (%)
https://opendata.mofa.go.kr:8443/docfiles/564/download 1
 
0.7%
https://opendata.mofa.go.kr:8443/docfiles/511/download 1
 
0.7%
https://opendata.mofa.go.kr:8443/docfiles/524/download 1
 
0.7%
https://opendata.mofa.go.kr:8443/docfiles/526/download 1
 
0.7%
https://opendata.mofa.go.kr:8443/docfiles/533/download 1
 
0.7%
https://opendata.mofa.go.kr:8443/docfiles/536/download 1
 
0.7%
https://opendata.mofa.go.kr:8443/docfiles/541/download 1
 
0.7%
https://opendata.mofa.go.kr:8443/docfiles/542/download 1
 
0.7%
https://opendata.mofa.go.kr:8443/docfiles/520/download 1
 
0.7%
https://opendata.mofa.go.kr:8443/docfiles/550/download 1
 
0.7%
Other values (133) 133
93.0%
2023-12-12T08:33:38.650928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 858
 
11.1%
/ 715
 
9.3%
a 572
 
7.4%
d 572
 
7.4%
t 429
 
5.6%
. 429
 
5.6%
4 358
 
4.6%
p 286
 
3.7%
s 286
 
3.7%
: 286
 
3.7%
Other values (22) 2931
38.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5148
66.7%
Other Punctuation 1430
 
18.5%
Decimal Number 1001
 
13.0%
Uppercase Letter 143
 
1.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 858
16.7%
a 572
11.1%
d 572
11.1%
t 429
 
8.3%
p 286
 
5.6%
s 286
 
5.6%
e 286
 
5.6%
n 286
 
5.6%
l 286
 
5.6%
i 143
 
2.8%
Other values (8) 1144
22.2%
Decimal Number
ValueCountFrequency (%)
4 358
35.8%
8 178
17.8%
3 168
16.8%
5 127
 
12.7%
6 34
 
3.4%
7 34
 
3.4%
9 29
 
2.9%
2 25
 
2.5%
1 24
 
2.4%
0 24
 
2.4%
Other Punctuation
ValueCountFrequency (%)
/ 715
50.0%
. 429
30.0%
: 286
 
20.0%
Uppercase Letter
ValueCountFrequency (%)
F 143
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5291
68.5%
Common 2431
31.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 858
16.2%
a 572
10.8%
d 572
10.8%
t 429
 
8.1%
p 286
 
5.4%
s 286
 
5.4%
e 286
 
5.4%
n 286
 
5.4%
l 286
 
5.4%
F 143
 
2.7%
Other values (9) 1287
24.3%
Common
ValueCountFrequency (%)
/ 715
29.4%
. 429
17.6%
4 358
14.7%
: 286
 
11.8%
8 178
 
7.3%
3 168
 
6.9%
5 127
 
5.2%
6 34
 
1.4%
7 34
 
1.4%
9 29
 
1.2%
Other values (3) 73
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7722
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 858
 
11.1%
/ 715
 
9.3%
a 572
 
7.4%
d 572
 
7.4%
t 429
 
5.6%
. 429
 
5.6%
4 358
 
4.6%
p 286
 
3.7%
s 286
 
3.7%
: 286
 
3.7%
Other values (22) 2931
38.0%

원본파일명
Text

Distinct138
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T08:33:38.963071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length100
Median length77
Mean length67.440559
Min length32

Characters and Unicode

Total characters9644
Distinct characters389
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

Unique135 ?
Unique (%)94.4%

Sample

1st rowStrengthening Capacity for Establishing the National Skills Testing and Certification System in Viet
2nd row베트남 국가기술자격 검정제도구축 역량강화사업_최종보고서 2013.12.PDF
3rd row베트남 꽝찌성 중급직업훈련학교 개선사업 최종보고서 2014.1.PDF
4th row글로벌 새마을 사업 세네갈 농업기술학교(CIH) 역량강화사업 기획조사(실시협의) 결과보고서 2014.4.PDF
5th row케냐 분고마 추웰레 지역 식수공급체계 개선사업 실시협의 결과보고서 2014.4.PDF
ValueCountFrequency (%)
결과보고서 80
 
5.6%
심층기획조사 66
 
4.6%
및 38
 
2.7%
사업 24
 
1.7%
집행계획(안 20
 
1.4%
v.2 20
 
1.4%
위한 17
 
1.2%
2018.12.pdf 16
 
1.1%
역량강화사업 14
 
1.0%
기획조사 12
 
0.8%
Other values (690) 1121
78.5%
2023-12-12T08:33:39.554864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1285
 
13.3%
2 566
 
5.9%
0 482
 
5.0%
1 310
 
3.2%
. 295
 
3.1%
사 250
 
2.6%
P 167
 
1.7%
업 156
 
1.6%
D 153
 
1.6%
F 143
 
1.5%
Other values (379) 5837
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4279
44.4%
Decimal Number 1751
18.2%
Space Separator 1285
 
13.3%
Lowercase Letter 898
 
9.3%
Uppercase Letter 651
 
6.8%
Other Punctuation 311
 
3.2%
Close Punctuation 133
 
1.4%
Open Punctuation 133
 
1.4%
Connector Punctuation 102
 
1.1%
Dash Punctuation 96
 
1.0%
Other values (3) 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 250
 
5.8%
업 156
 
3.6%
보 142
 
3.3%
기 126
 
2.9%
서 116
 
2.7%
고 115
 
2.7%
획 109
 
2.5%
조 98
 
2.3%
과 96
 
2.2%
결 94
 
2.2%
Other values (310) 2977
69.6%
Lowercase Letter
ValueCountFrequency (%)
e 103
11.5%
n 93
10.4%
i 88
9.8%
t 78
 
8.7%
a 76
 
8.5%
o 72
 
8.0%
r 51
 
5.7%
s 49
 
5.5%
l 47
 
5.2%
c 36
 
4.0%
Other values (15) 205
22.8%
Uppercase Letter
ValueCountFrequency (%)
P 167
25.7%
D 153
23.5%
F 143
22.0%
C 31
 
4.8%
T 20
 
3.1%
M 18
 
2.8%
U 15
 
2.3%
I 14
 
2.2%
S 13
 
2.0%
N 13
 
2.0%
Other values (11) 64
 
9.8%
Decimal Number
ValueCountFrequency (%)
2 566
32.3%
0 482
27.5%
1 310
17.7%
8 81
 
4.6%
5 71
 
4.1%
9 64
 
3.7%
7 58
 
3.3%
6 42
 
2.4%
3 40
 
2.3%
4 37
 
2.1%
Other Punctuation
ValueCountFrequency (%)
. 295
94.9%
, 13
 
4.2%
· 2
 
0.6%
․ 1
 
0.3%
Letter Number
ValueCountFrequency (%)
Ⅳ 2
66.7%
Ⅱ 1
33.3%
Space Separator
ValueCountFrequency (%)
1285
100.0%
Close Punctuation
ValueCountFrequency (%)
) 133
100.0%
Open Punctuation
ValueCountFrequency (%)
( 133
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 102
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4279
44.4%
Common 3813
39.5%
Latin 1552
 
16.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 250
 
5.8%
업 156
 
3.6%
보 142
 
3.3%
기 126
 
2.9%
서 116
 
2.7%
고 115
 
2.7%
획 109
 
2.5%
조 98
 
2.3%
과 96
 
2.2%
결 94
 
2.2%
Other values (310) 2977
69.6%
Latin
ValueCountFrequency (%)
P 167
 
10.8%
D 153
 
9.9%
F 143
 
9.2%
e 103
 
6.6%
n 93
 
6.0%
i 88
 
5.7%
t 78
 
5.0%
a 76
 
4.9%
o 72
 
4.6%
r 51
 
3.3%
Other values (38) 528
34.0%
Common
ValueCountFrequency (%)
1285
33.7%
2 566
14.8%
0 482
 
12.6%
1 310
 
8.1%
. 295
 
7.7%
) 133
 
3.5%
( 133
 
3.5%
_ 102
 
2.7%
- 96
 
2.5%
8 81
 
2.1%
Other values (11) 330
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5358
55.6%
Hangul 4279
44.4%
Number Forms 3
 
< 0.1%
None 2
 
< 0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1285
24.0%
2 566
 
10.6%
0 482
 
9.0%
1 310
 
5.8%
. 295
 
5.5%
P 167
 
3.1%
D 153
 
2.9%
F 143
 
2.7%
) 133
 
2.5%
( 133
 
2.5%
Other values (54) 1691
31.6%
Hangul
ValueCountFrequency (%)
사 250
 
5.8%
업 156
 
3.6%
보 142
 
3.3%
기 126
 
2.9%
서 116
 
2.7%
고 115
 
2.7%
획 109
 
2.5%
조 98
 
2.3%
과 96
 
2.2%
결 94
 
2.2%
Other values (310) 2977
69.6%
None
ValueCountFrequency (%)
· 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅳ 2
66.7%
Ⅱ 1
33.3%
Punctuation
ValueCountFrequency (%)
’ 1
50.0%
․ 1
50.0%

파일크기
Real number (ℝ)

Distinct141
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2736426.5
Minimum456525
Maximum10458623
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T08:33:39.741801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum456525
5-th percentile640028.6
Q1995596
median1709160
Q33545537
95-th percentile8851815.6
Maximum10458623
Range10002098
Interquartile range (IQR)2549941

Descriptive statistics

Standard deviation2492347
Coefficient of variation (CV)0.91080355
Kurtosis1.7715692
Mean2736426.5
Median Absolute Deviation (MAD)959639
Skewness1.5977486
Sum3.91309 × 108
Variance6.2117936 × 1012
MonotonicityNot monotonic
2023-12-12T08:33:39.932221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3089037 2
 
1.4%
1057381 2
 
1.4%
1901639 1
 
0.7%
2596847 1
 
0.7%
9871703 1
 
0.7%
1271581 1
 
0.7%
1016393 1
 
0.7%
1331956 1
 
0.7%
1030703 1
 
0.7%
1556282 1
 
0.7%
Other values (131) 131
91.6%
ValueCountFrequency (%)
456525 1
0.7%
487339 1
0.7%
515827 1
0.7%
578514 1
0.7%
590838 1
0.7%
596826 1
0.7%
624897 1
0.7%
639153 1
0.7%
647909 1
0.7%
690494 1
0.7%
ValueCountFrequency (%)
10458623 1
0.7%
10265804 1
0.7%
10024052 1
0.7%
9871703 1
0.7%
9300394 1
0.7%
9136739 1
0.7%
8899812 1
0.7%
8882612 1
0.7%
8574648 1
0.7%
8449824 1
0.7%

Interactions

2023-12-12T08:33:36.978976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:33:40.056427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
작성일파일크기
작성일1.0000.000
파일크기0.0001.000

Missing values

2023-12-12T08:33:37.070719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:33:37.143278image/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

제목작성일다운로드URL원본파일명파일크기
0Strengthening Capacity for Establishing the National Skills Testing and Certification System in Vietnam_Final Report, December 20132013-12-01https://opendata.mofa.go.kr:8443/docFiles/564/downloadStrengthening Capacity for Establishing the National Skills Testing and Certification System in Viet4686587
1베트남 국가기술자격 검정제도구축 역량강화사업_최종보고서 2013.122013-12-01https://opendata.mofa.go.kr:8443/docFiles/586/download베트남 국가기술자격 검정제도구축 역량강화사업_최종보고서 2013.12.PDF7485132
2베트남 꽝찌성 중급직업훈련학교 개선사업 최종보고서 2014.12014-01-01https://opendata.mofa.go.kr:8443/docFiles/592/download베트남 꽝찌성 중급직업훈련학교 개선사업 최종보고서 2014.1.PDF3161113
3글로벌 새마을 사업 세네갈 농업기술학교(CIH) 역량강화사업 기획조사(실시협의) 결과보고서 2014.42014-04-01https://opendata.mofa.go.kr:8443/docFiles/455/download글로벌 새마을 사업 세네갈 농업기술학교(CIH) 역량강화사업 기획조사(실시협의) 결과보고서 2014.4.PDF3074074
4케냐 분고마 추웰레 지역 식수공급체계 개선사업 실시협의 결과보고서 2014.42014-04-01https://opendata.mofa.go.kr:8443/docFiles/532/download케냐 분고마 추웰레 지역 식수공급체계 개선사업 실시협의 결과보고서 2014.4.PDF1217380
5튀니지 코르크참나무숲 복원 시범사업 실시협의 결과보고서 2014.42014-04-01https://opendata.mofa.go.kr:8443/docFiles/551/download튀니지 코르크참나무숲 복원 시범사업 실시협의 결과보고서 2014.4.PDF4222581
6투르크메니스탄 가스직업훈련원 역량강화사업 2차 실시협의 결과보고서 2015.42015-04-01https://opendata.mofa.go.kr:8443/docFiles/547/download투르크메니스탄 가스직업훈련원 역량강화사업 2차 실시협의 결과보고서 2015.4.PDF3622956
7The 2nd Project of Production of Topographic Maps of Ulaanbaatar City in Mongolia Final Report 2015.52015-05-01https://opendata.mofa.go.kr:8443/docFiles/565/downloadThe 2nd Project of Production of Topographic Maps of Ulaanbaatar City in Mongolia Final Report 2015.2851341
8몽골 국유재산관리 정보화시스템 구축사업 종료보고서 2015.52015-05-01https://opendata.mofa.go.kr:8443/docFiles/582/download몽골 국유재산관리 정보화시스템 구축사업 종료보고서 2015.5.PDF10265804
9몽골 울란바타르시 1_1,000 지형도제작 2차사업 최종보고서 2015.52015-05-01https://opendata.mofa.go.kr:8443/docFiles/583/download몽골 울란바타르시 1_1,000 지형도제작 2차사업 최종보고서 2015.5.PDF3440983
제목작성일다운로드URL원본파일명파일크기
133인도네시아 법령정보시스템 구축 및 법제 정보화 역량강화 사업 (2021-2025_850만불) 집행계획(안) v.2 2020.122020-12-01https://opendata.mofa.go.kr:8443/docFiles/522/download인도네시아 법령정보시스템 구축 및 법제 정보화 역량강화 사업 (2021-2025_850만불) 집행계획(안) v.2 2020.12.PDF1539997
134캄보디아 국립소아병원 내과계 병동건립 및 의료인력 역량강화사업(2022-2027_1,600만불) 집행계획(안) v.2 2021.12021-01-01https://opendata.mofa.go.kr:8443/docFiles/529/download캄보디아 국립소아병원 내과계 병동건립 및 의료인력 역량강화사업(2022-2027_1,600만불) 집행계획(안) v.2 2021.1.PDF2281707
135나이지리아 ITC SheTrades 여성 농민의 가치사슬 연계성 강화를 통한 소득 증대 사업(2022-2026_558만불) 집행계획(안) v.2 2021.2_국문요약2021-02-01https://opendata.mofa.go.kr:8443/docFiles/456/download나이지리아 ITC SheTrades 여성 농민의 가치사슬 연계성 강화를 통한 소득 증대 사업(2022-2026_558만불) 집행계획(안) v.2 2021.2_국문요약.PDF897175
136베트남 타이응웬성 지속가능한 폐기물 관리체계 구축을 통한 폐기물 감량화 및 자원화 지원사업('22-'25_810만불) 집행계획(안) v.2 2021.22021-02-01https://opendata.mofa.go.kr:8443/docFiles/473/download베트남 타이응웬성 지속가능한 폐기물 관리체계 구축을 통한 폐기물 감량화 및 자원화 지원사업(22-25_810만불) 집행계획(안) v.2 2021.2.PDF1081593
137엘살바도르 ICT 활용 교원연수 및 초중등 교육역량 강화사업(2022-2026_800만불) 집행계획(안) v.2 2021.22021-02-01https://opendata.mofa.go.kr:8443/docFiles/501/download엘살바도르 ICT 활용 교원연수 및 초중등 교육역량 강화사업(2022-2026_800만불) 집행계획(안) v.2 2021.2.PDF1722335
138미얀마 라카인 마나웅섬 태양광 전력시스템 구축사업(2020-2024_1,000만불) 집행계획(안) v.2 2021.32021-03-01https://opendata.mofa.go.kr:8443/docFiles/478/download미얀마 라카인 마나웅섬 태양광 전력시스템 구축사업(2020-2024_1,000만불) 집행계획(안) v.2 2021.3.PDF1546806
139아제르바이잔 혁신로드맵 수립을 통한 혁신역량 강화사업(2021-2024_200만불) 집행계획(안) v.3 2021.42021-04-01https://opendata.mofa.go.kr:8443/docFiles/494/download아제르바이잔 혁신로드맵 수립을 통한 혁신역량 강화사업(2021-2024_200만불) 집행계획(안) v.3 2021.4.PDF1928804
140인도 직업기술교육 역량강화사업(2021-2023_200만불) 집행계획(안) v.2 2021.42021-04-01https://opendata.mofa.go.kr:8443/docFiles/519/download인도 직업기술교육 역량강화사업(2021-2023_200만불) 집행계획(안) v.2 2021.4.PDF596826
141요르단 빅데이터 기반 치안정보 통합관리 시스템 구축 사업(2021-2025_625만불) 집행계획(안) v.2 2021.52021-05-01https://opendata.mofa.go.kr:8443/docFiles/504/download요르단 빅데이터 기반 치안정보 통합관리 시스템 구축 사업(2021-2025_625만불) 집행계획(안) v.2 2021.5.PDF2705586
142인도네시아 취약계층 청소년 사회복귀 지원사업(2020-2024_700백만불) 집행계획(안) v.2 2021.52021-05-01https://opendata.mofa.go.kr:8443/docFiles/525/download인도네시아 취약계층 청소년 사회복귀 지원사업(2020-2024_700백만불) 집행계획(안) v.2 2021.5.PDF1429158